Skip to main content

Evaluation of psychological distress is essential for patients with locally advanced breast cancer prior to neoadjuvant chemotherapy: baseline findings from cohort study

Abstract

Background

patients with locally advanced breast cancer (LABC) are often treated by neoadjuvant chemotherapy (NACT). This study aims to determine the prevalence of psychological distress and their sociodemographic and clinical factors in patients recently diagnosed with LABC and before NACT. Methods: A total of 209 LABC patients without metastatic localization were recruited between 2021 and 2022 in the oncology hospital at Fez. A structured questionnaire and the Hospital Anxiety and Depression Scale were used. A descriptive analysis and linear model were performed. Results: a mean age of participants was 47.43 ± 9.45 years. The prevalence of depression, anxiety and psychological distress among participants was 59.62% (95% CI: 52.61–33.34), 47.85% (95% CI: 40.91–54.85), and 65.07 (95% CI: 58.19–71.52) respectively. Depression was associated to age (< 50 years) (AOR = 2.19; 95% CI = 1.13–4.23) and health insurance (AOR = 3.64; 95% CI: 1.18–11.26). Anxiety was associated to age (< 50) (AOR = 2.21; 95% CI: 1.18–4.13) and right breast cancer (AOA = 2.01; 95% CI: 1.11–3.65). Psychological distress was associated to chronic illness (AOR = 2.78; 95% CI: 1.32–5.85) and lymph node status (AOR = 2.39; 95% CI: 1.26–4.57). Conclusions: Based on the high prevalence of depression and anxiety it appears opportune to treat psychological distress among LABC patient candidates for NACT. Each psychological intervention should take into account sociodemographic and clinical factors found associated in our study. Psychological therapeutic interventions are crucial for LABC patients as early as the time of diagnosis and through subsequent steps in NACT to improve their overall mental health.

Peer Review reports

Introduction

The global cancer statistics report states that the number of new cases of breast cancer (BC) was approximately 2.3 million in 2020 [1] and it is the most common malignancy among women globally, accounting for 30% of new cancers [2]. Compared to other tumors, BC responds better to treatment and patients are more likely to survive five years [3].

The experience of BC or its treatment can be traumatic for patients due to its impact on their sexual relationship and self-image. Patients suffered from physical, psychosocial, and spiritual problems. Consequently, most BC patients have psychological reactions, including anger, denial or fear related to the disease and treatment process, and many of them have mental illnesses [4,5,6]. It has been reported that 50% of BC patients experience clinically psychological distress because of their disease [7]. Having psychological distress hinders receiving necessary follow-up care, potentially resulting in an increased mortality [8].

According to National Comprehensive Cancer Network (NCCN) [9] Guidelines for Managing Distress, psychological distress is considered as “a multifactorial and unpleasant experience of a psychological (i.e., cognitive, behavioral, emotional), social, spiritual nature; and/or physical which may interfere with the ability to effectively cope with cancer, its physical symptoms and treatment”. Psychological distress is a construct that covers psychiatric symptoms such as depression and anxiety. Psychological distress has significant overlap with anxiety and depression concepts, which have been widely used as psychological disorder related terms [10,11,12,13,14,15,16]. As a result of unpleasant stimuli, anxiety is defined as an intense feeling of apprehension, excessive fear and uncertainty. There are multiple dimensions to anxiety, including cognitive, physiological, and physical aspects [17]. While, depression is characterized by changes in mood and cognition over a period of at least two weeks as well as a loss of interest or pleasure [18].

Depression and anxiety and are the most common mental illness. Patients with BC may experience symptoms of depression and anxiety which affect their physical and psychological health, and may even pose a significant risk factor for mortality [19, 20]. According to two recent systematic reviews and meta-analyses, there are high levels of depression and anxiety among BC patients worldwide, 32.2 and 41.9%, respectively [19, 20]. Studies investigating psychological adjustment have showed different outcomes if they were evaluated patients who had recently been diagnosed or going through treatment, as well as who had already completed the principal steps of care [7, 16, 21]. Moreover, Yang [22] reported an augmented risk of mental disorders immediately following a BC diagnosis, suggesting the need to research both diagnosis and treatment separately.

Since BC is a chronic disease, it is crucial to address how patients adapt to it and identify what factors help them thrive. Psychological adjustment can be viewed as a complex concept, although there are several definitions. Recently, some authors have advocated taking a more global and multidimensional approach. Larsen and Hummel [23] discussed that adjustment to cancer involves not only managing medical and physical challenges associated with cancer, but also addressing dimensions of emotional, cognitive, behavioral, and psychological functioning. Psychological adjustment studies have shown different results depending on whether they were conducted on patients with a recently BC diagnosed, during therapy or with patients who had completed treatment [7, 16, 21].

In low and middle-income countries, 40 to 60% of all BC diagnosed are LABC [24,25,26], while it accounts for only 4–8% of all of BC women in the Europe and United States [25]. Sub-Saharan African BC patients are more of risk to be presented at diagnosis with advanced stage, which leads to poor survival rates, according to a systematic review [27]. Approximately 40% of BC in Saudi Arabia was LABC at time of diagnosis in 2015 [28]. A similar picture applies to Morocco, where most women begin treatment for BC at advanced stages [29]. A published study showed that between 2008 and 2017, the rate of women diagnosed with advanced BC was about 45% [30]. Nevertheless, these statistics remain questionable since they might include cases with metastases of BC and it is not defined uniformly across centers [31], there is therefore a need to define LABC.

In fact, the Union for International Cancer Control (UICC) and the American Joint Committee on Cancer (AJCC) staging systems usually define LABC as stage IIIB or IIIC, but some clinicians include patients with stage IIIA disease as LABC. Inflammatory BC is also included in LABC [4, 32]. Breast tumours larger than 5 cm without regional lymphadenopathy have also been included as LABC by some authors (T3N0M0) [33,34,35,36].” In the treatment of LABC, neoadjuvant therapy is usually recommended to downstage the disease, followed by timely surgery, radiotherapy, and systemic therapy following the surgery [24, 26, 37, 38]. The purpose of NACT is to ameliorate surgical options and to assess treatment response in the breast. In addition, NACT allows for the discovery of predictive markers of chemotherapy [39].

In light of the large number of Moroccan patients with LABC, we consider it useful to investigate their psychological determinants. Thus, we are conducting a cohort study to understand the psychological adjustment of Moroccan patients with LABC undergoing neoadjuvant chemotherapy and to determine how psychological distress evolves through the course of their treatment. Therefore, from this cohort study, the main objective of this article is to assess the prevalence of psychological distress, depression and anxiety and their sociodemographic and clinical determinants in Moroccan women with LABC newly receiving diagnosis and waiting NACT.

Materials and methods

Study design

This was a cross-sectional study conducted on the baseline cohort. The aim of the study was to investigate the prevalence and determinants of psychological distress, depression, and anxiety among women newly diagnosed with LABC and who are candidates for NACT. This study was approved by the hospital-university ethics committee related to University of Sidi Mohamed Ben Abdellah (N°24/18). It was conducted at the public oncology hospital of Fez city. A total of 209 patients with BC who were diagnosed with LABC between 2021 and 2022, were recruited during the first medical oncology consultations and before starting NACT.

Inclusion criteria were: (i) women over 18; (ii) women who had been diagnosed with BC, in absence of distance metastases and should start NACT; iii); women who had signed an informed consent to take part in the study. Exclusion criteria were: women with a history of psychiatric disease prior to be diagnoses with BC; and women with other malignancies.

Sociodemographic and clinical variables

Sociodemographic variables recorded were age at diagnosis, marital status, having children, number of children, education, profession, health insurance coverage, residency, ethnicity, patient’s monthly income, and monthly family income. Two age categories (> 50 years, ≤ 50 years) were created. Marital status was grouped into two categories (married/widow, divorced or unmarried). Residential location was dichotomized into urban/rural. Patients were asked if they have children (yes/no) and their number (< 3, ≥ 3), while two categories were created for profession (Unemployed/employed). Women were also classified according to their Arab or Amazigh ethnic origin. Level of education was categorized into two groups (illiterate vs. educated). Health insurance coverage was divided into two categories (total and partial). Finally, patients were classified according to their monthly income (No income/ income ≤ 250$), and household income (< 250$/ \(\ge\)250 and < 500$).

The present study included clinical variables such as the breast tumor laterality (right/left), menopause status (pre/post), time from finding out the first symptoms, family cancer history (yes/no), and the presence of other chronic illness (yes/no).

In addition, histological type was added as a variable and categorized as ductal/lobular and others type. As part of the Tumor-Node-Metastasis (TNM) classification, we also included tumor size (T1 or T2/ T3) and lymph node status (negative/positive). The estrogen receptor (ER) progesterone receptor (PR) was considered positive if they were present in 10% or more of the cells and human epidermal growth factor receptor 2 (HER2). The Ki67 labeling index was 20%. For molecular types, luminal A (ER + and/or PR+, HER2-), luminal B (ER + and/or PR+, HER2+), HER2 enriched (ER-, PR-, HER2+), and triple-negative breast cancer (TNBC) (ER-, PR-, HER2-) were searched.

Hospital anxiety and depression scale

Psychological distress of our participants was assessed by the Hospital Anxiety and Depression Scale (HADS), established in by Zigmond et al. [40]. The HADS is a 14-item scale that measures depression and anxiety with a high score of 21 for each one. The summarized minimum score of each of the seven item subscales is 07 and the maximum 21. The HADS total score showed good screening utility to detect the presence of distress in an oncology setting [41, 42]. The cutoff used was \(\ge 10\) units to categorize anxiety caseness (HADS-A), and \(\ge 8\) units for depression (HADS-D). According to several papers, we used HADS total score of ≥15 as cutoff for overall psychological distress [42,43,44,45,46,47,48,49,50,51].

A HADS was administered to our study subjects before they received the NACT. The reliability and validity of the Arabic version of HADS were established in a previous study [52]. In this study, HADS had high internal consistency (Cronbach’s α = 0.91).

Statistical analyses

According to Epitools epidemiological calculators, the minimal sample of 160 was deemed necessary. In neoadjuvant trials, the best pathological complete response is around 50% and the best absolute difference is around 20% [53, 54]. Then, the estimated best relative risk for improvement in pathological complete response (PCR) after neoadjuvant chemotherapy is close to 1.7 [55]. Based on passive coping behavior, we can estimate a PCR rate of 30%, while an active coping behavior will have a relative risk of 1.7. thus, the active coping behavior will have a 50% PCR rate. The power of the study would be 80% and the p-value would be 0.05. More than 40% is added to replace patients who were lost to follow-up, patients whose NACT protocol changed as a result of the progression of the disease, patients who died during the course of NACT, patients who left the hospital for another care hospital, and patients who refused to sign consent forms or refused follow-up within the cohort framework. As a result of this cohort study, a total of 209 participants were recruited at baseline.

Data were entered using Epi Info version 7.2.3.1 and was analyzed statistically using SPSS version 25.0 and psych package in R computing environment (4.1.1) for analyzing the general description of the questionnaires results and comparison of the score. Categorical variables were represented in percentages and frequencies. Continuous variables were presented in means and standard deviation because they respected normal distribution with its skewness and kurtosis varying between − 1 and + 1. Chi-square test (χ2) and Fisher’s exact test were operated to describe distributions of anxiety, depressive and psychological distress in categorical sociodemographic and clinical variables. A confidence interval of 95% was achieved with 0.05 level of significance. A multivariate logistic regression analysis was performed including selected correlates with p < 0.2 in bivariate analysis. The results were reported as adjusted odds ratio with 95% CI.

Results

A total of 209 BC patients in this study, their mean age was 47.43 ± 9.45 years, with 70.81% were married and most of them have children (89.71%). The majority (87.56%) are benefiting from a total health insurance coverage, since 87.08% are unemployed and 89.00% are without monthly income. Other sociodemographic characteristics are summarized (Table 1).

Table 1 Sociodemographic variables of the sample (n = 209)

For clinical variables, 61.72% of participants in the present study belonged to T4, while 38.28% were diagnosed with T2 or T3, moreover, 62.20% had a positive lymph node status. Laterality of BC was right in 51.67% of cases. The most common histological type of BC was invasive ductal carcinoma in 93.27%. For hormone receptors, ER was positive in 60.19%, and PR was positive in 49.76% of patients. Among molecular subtypes, we noted that 6.06%, 35.86%, 20.71% and 12.12% had respectively Luminal A, Luminal B, Luminal B HER2 and HER2 enriched, and that 25.25% has TNBC. Other clinical variables are presented in Table 2.

Table 2 Clinical variables of the sample (n = 209)

Among the 209 participants, 59.62% (95% CI: 52.61–33.34) (n = 125) women were found to be depressed, 47.85% (95% CI: 40.91-54.85%) (n = 100) were anxious and 65.07% (95% CI: 58.19–71.52) (n = 135) were suffering from psychological distress (Table 3).

Table 3 Prevalence of psychological distress, depression and anxiety among participants (n = 209)

A bivariate analysis was conducted to assess the association between anxiety, depression, and psychological distress, by the Chi-square test and the Fisher’s exact test. Based on the Supplementary Information (Additional file 1: Supplementary Table S1), the monthly income of the family (χ2 = 7.87, p = 0.01), and the laterality of BC (χ2 = 6.67, p = 0.01; OR = 0.48) were significantly associated with anxiety. Patients with another chronic illness (χ2 = 5.34, p = 0.02; OR = 0.45) and lymph node status (χ2 = 5.34, p = 0.01; OR = 0.48) were associated with depression. It was showed also that psychological distress was associated to age (χ2 = 3.99, p = 0.05; OR = 0.55), other chronic illness (χ2 = 6.46, p = 0.01; OR = 0.42), positive lymph node status (χ2 = 7.92, p = 0.007; OR = 2.30)) and molecular subtypes (χ2 = 12.14, p = 0.01) (Supplementary Table S1).

Logistic regression analyzes were conducted to examine the associations of sociodemographic and clinical factors with depression, anxiety and psychological distress in patient newly diagnosed with LABC and before receiving NACT (Table 4).

Table 4 Univariate and multivariate regression analysis of the association between sociodemographic and clinical variables with depression, anxiety, and psychological distress

Regarding depression, multivariate analysis confirmed the result of univariate analysis, patients under 50 years old are 2.19 times higher risk to suffer from depression than those over 50 years of age (AOR = 2.19; 95% CI = 1.13–4.23). In addition, those with full health insurance are 3.64 times greater risk of depression than those with partial coverage (AOR = 3.64; 95% CI: 1.18–11.26) (Table 4).

Concerning anxiety, multivariate analysis revealed its association with age less than 50 years old (AOR = 2.21; 95% CI: 1.18–4.13) and right side as BC laterality (AOR + 2.01, 95% CI: 1.11–3.65) (Table 4).

For psychological distress, univariate binary logistic regression analysis showed that it was associated to younger age (COR = 1.80; 95% CI: 1.01–3.22), having other chronic illness (COR = 2.36; 95% CI = 1.20–4.63) and positive lymph node status (COR = 2.30, 95% CI: 1.28–4.13). In multivariate analysis, patients with positive lymph node status were 2.39 times greater risk to developed psychological distress (AOR = 2.39; 95% CI: 1.26–4.57), and patients with another chronic illness were 2.78 times more risk to have psychological distress (AOR = 2.78; 95% CI: 1.32–5.85) (Table 4).

Discussion

In the Moroccan context, this study is unique for two reasons: it is the first to investigate psychological distress among BC patients with LABC, in contrast to some studies that involve all types of BC. Additionally, this study was conducted only during the diagnostic period and up to the last day before receiving neoadjuvant chemotherapy, and most studies have focused on BC r survivors or during treatment.

A diagnosis of BC is frequently followed by depression and anxiety, and finding ways to detect those who may be at risk of psychological distress is crucial [55, 56]. Therefore, the present study examines prevalence and associated variables of psychological distress among patients recently have been received diagnosis of LABC. The term psychological distress is generally defined as depression and anxiety. For this reason, one of the popular scales used widely in clinical practices of psychological distress in cancer patients was applied. Depression was measured by subscale HADS-D and cutoff greater than or equal to 8, whereas anxiety was measured by subscale HADS-A and cutoff greater than or equal to 10. In addition, we categorized participants based on the total HADS score with a cutoff of 15.

A key finding of this study was the high rate of psychological distress among participants. Quite alarmingly, more than half fell above the depression and HADS T threshold, 59.81% and 64.59% respectively, while 47.8% of our sample experienced anxiety. Our results remain higher, but near to the rates showed in some studies investigating psychological distress in patient undergoing NACT. To illustrate, a Korean prospective study [57] found that depression and anxiety was respectively 40.2% and 48% in a sample of 184 BC patients. The results of a recent prospective study conducted on 203 Koreans with BC who received NACT indicated that 35% of patients were depressed, while 34% were anxious [58]. While, a Canadian prospective study [59] of 203 BC patients undergoing NACT reported that 54.2% had high levels of anxiety at baseline. Using the Distress Thermometer, an American study [60] showed that psychological distress had reached its peak before NACT in more than half of 252 women diagnosed with non-metastatic BC and before onset NACT. With regard to other types of BC and patients outside of NACT, a meta-analysis of 39 quantitative papers, after the diagnosis of BC, the incidence of clinically significant symptoms of depression was 20%, anxiety 34%, and 39% for distress. In Morocco, one cross sectional study [61], conducted on patients with BC in different steps of cancer treatment, mentioned that 87% of them suffered from an anxiety-depressive syndrome. Interestingly, the prevalence rates found in this study are similar to those found in a study [62] of systemic lupus erythematosus patients with depression and anxiety. As with our study, this was conducted in the same hospital and shown that prevalence of depression and anxiety was respectively 57.4% (95% CI: 47.8-67%) and 55.4% (95% CI: 45.8-65%). Based on the results of various longitudinal studies [63, 64] of BC patients undergoing NACT, we anticipate that psychological distress will decrease in patients participating in our research during and at the end of NACT.

Considering the high prevalence of psychological distress revealed in the present study, it was imperative to explore the factors explaining these rates. Thus, results of this study based on multivariate analysis, revealed that younger age (less than 50) was associated with depression and anxiety. Moreover, univariate analysis confirmed that it was also related to psychological distress. The same result was found by LeVasseur et al. who indicated that patients in the high-anxiety cohort at initial oncology consultation were significantly younger compared with those in the low anxiety cohort [56]. Younger age was also the main factor associated with psychological distress in the results of a systematic review on the predictors of psychological distress in female BC survivors [65].

The second factor that showed an association with psychological distress in this study was the full health insurance coverage. In fact, the risk of de.

pression for patients having this type of insurance was greater than those with partial insurance. The explanation of this result was that the beneficiaries of full medical insurance in Morocco are generally the poor and socioeconomically vulnerable patients who were often unable to pay even for basic necessities such as food and transportation.

For clinical variables, anxiety was more prevalent in patients with BC on the right side. This can be explained by the fear of patients who had right BC before ongoing NACT to suffer mainly lymphedema in the right arm which can occur after surgery and lymph node dissection, knowing well that right-handed people are predominant with a rate of 90% among the human population. These patients can experience this fear when they meet other patients in the waiting rooms who complain of this problem or when they get information about lymphedema from other resources. This leads to them believing that they will have functional problems immediately following surgery of right BC [66].

Concerning positive lymph node status, it was statistically associated to psychological distress. In a paper exploring mental health of invasive BC patients [22], positive lymph nodes were more likely to have depression and anxiety. A similar result was shown in the study of Ilic [67], which also confirmed that patients who had BC with positive lymph nodes experienced more depression.

Chronic illness was another determinant of psychological distress in our finding. In fact, significant increases in depression and/or anxiety were associated with heart disease, arthritis, asthma, stroke, chronic neck or back pain, and hypertension [67]. Being diagnosed with BC would therefore raise the suffering of patients with these chronic diseases, especially since they will need more radiological and biological examinations, and will be subjected to more and more different medical consultations.

As far as we know, this is the first study to investigate prevalence and determinants of psychological distress, depression, and anxiety in LABC Moroccan patients. The prevalence levels of these variables remain high. Considering the finding of this study, it would be helpful to predict which patients are at risk of developing psychological diseases with a diagnosis of LABC, in order to prevent them. As we assume as well that the establishment of interventions which consider the determinants associated with the psychological variables can help in better managing the alteration of psychological features and to properly prepare Moroccan patients to start NACT. In the routine practice of health professionals, these psychological problems must be assessed by using appropriate tools, such as HADS. Numerous publications [68,69,70,71,72,73,74,75] have also highlighted the importance of nursing practices, not only in assessing psychological states but also in implementing psychological interventions.

In this sense, our cohort research project finds its relevance in observing the trajectory of psychological distress during and after NACT, after surgery, and up to 5 years after. Through such a study, it is possible to conclude the psychological state of patients and the factors influencing it, as well as the likelihood of survival. We strongly urge, however, that a research study should be conducted to design and evaluate psychological intervention programs for patients with LABC.

For proper interpretation of the results, some limitations of this study must be mentioned. The data used in our study was based on The HADS which may have led to bias, however, this scale has previously been proven reliable valid. Additionally, possibly due to our sample size, we found our results to be underpowered, while a larger sample size may have provided robust results. This finding could be replicated and validated in other Moroccan clinical settings with a variety of sample populations.

Conclusions

It is important for people receiving neoadjuvant chemotherapy to talk to their doctor, their nurses or a mental health professional about any mental health issues they may be having. Treatment for psychological distress can include medication, psychotherapy, or both. It is important to get treatment as soon as possible to avoid further complications, especially problems of adherence to NACT or generating psychiatric diseases.

In order to identify the main changes in biopsychosocial variables over time, it is necessary to follow the patients included in our project cohort study. Following diagnosis, these patients receive a variety of treatments, including NACT sessions, target therapy, surgery, radiotherapy, and hormonal therapy. Additionally, they perform numerous routine examinations and specialized radiological and biological tests. We believe that it is crucial to develop a global model to explain their psychological adjustment. In this way, we would be able to meet patients’ needs, improve their safety and quality of care, and promote behavioral epidemiology research.

Data Availability

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Abbreviations

χ2:

Chi-square

AOR:

Adjusted Odds Ratio

BC:

Breast cancer

CI:

Confidence interval

COR:

Crude Odd Ratio

ER:

Estrogen receptor

HADS:

Hospital Anxiety and Depression Scale

HER2:

Human epidermal growth factor receptor-2

LABC:

Locally advanced breast cancer

LMIC:

Low and middle-income countries

NACT:

Neoadjuvant chemotherapy

OR:

Odds Ratio

PCR:

Pathological complete response

PR:

Progesterone receptor

SBR:

Scarff-Bloom and Richardson

SD:

Standard deviation

TNM:

Tumor-Node-Metastasis

References

  1. Sung H, Rl JF. S, M L, I S, A J, Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: a cancer journal for clinicians [Internet]. mai 2021 [cité 22 nov 2022];71(3). Disponible sur: https://pubmed.ncbi.nlm.nih.gov/33538338/

  2. Siegel RL, Miller KD, Fuchs HE, Jemal A, Cancer Statistics. 2021. CA Cancer J Clin. janv 2021;71(1):7–33.

  3. Nardin S, Mora E, Varughese FM, D’Avanzo F, Vachanaram AR, Rossi V, et al. Breast Cancer Survivorship, Quality of Life, and late toxicities. Front Oncol. 2020;10:864.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Brown LC, Murphy AR, Lalonde CS, Subhedar PD, Miller AH, Stevens JS. Posttraumatic stress disorder and breast cancer: risk factors and the role of inflammation and endocrine function. Cancer 15 juill. 2020;126(14):3181–91.

    Google Scholar 

  5. Lueboonthavatchai P. Prevalence and psychosocial factors of anxiety and depression in breast cancer patients. J Med Assoc Thai oct. 2007;90(10):2164–74.

    Google Scholar 

  6. Dooley LN, Slavich GM, Moreno PI, Bower JE. Strength through adversity: moderate lifetime stress exposure is associated with psychological resilience in breast cancer survivors. Stress Health déc. 2017;33(5):549–57.

    Article  Google Scholar 

  7. Burgess C, Cornelius V, Love S, Graham J, Richards M, Ramirez A. Depression and anxiety in women with early breast cancer: five year observational cohort study. BMJ. 26 mars 2005;330(7493):702.

  8. Allen JD, Shelton RC, Harden E, Goldman RE. Follow-up of abnormal screening mammograms among low-income ethnically diverse women: findings from a qualitative study. Patient Educ Couns août. 2008;72(2):283–92.

    Article  Google Scholar 

  9. National Comprehensive Cancer Network. Distress Management, Version 3.2019 [Internet]. US. ; 2019 oct [cité 20 oct 2019]. Disponible sur: https://jnccn.org/view/journals/jnccn/17/10/article-p1229.xml

  10. Zabora J, BrintzenhofeSzoc K, Curbow B, Hooker C, Piantadosi S. The prevalence of psychological distress by cancer site. Psychooncology févr. 2001;10(1):19–28.

    Article  CAS  Google Scholar 

  11. Andersen BL, DeRubeis RJ, Berman BS, Gruman J, Champion VL, Massie MJ, et al. Screening, Assessment, and care of anxiety and depressive symptoms in adults with Cancer: an American Society of Clinical Oncology Guideline Adaptation. J Clin Oncol 20 mai. 2014;32(15):1605–19.

    Article  Google Scholar 

  12. Wang X, Wang N, Zhong L, Wang S, Zheng Y, Yang B, et al. Prognostic value of depression and anxiety on breast cancer recurrence and mortality: a systematic review and meta-analysis of 282,203 patients. Mol Psychiatry. 2020;25(12):3186–97.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Boyes A, D’Este C, Carey M, Lecathelinais C, Girgis A. How does the Distress Thermometer compare to the hospital anxiety and Depression Scale for detecting possible cases of psychological morbidity among cancer survivors? Support Care Cancer janv. 2013;21(1):119–27.

    Article  Google Scholar 

  14. Carlson LE, Waller A, Groff SL, Giese-Davis J, Bultz BD. What goes up does not always come down: patterns of distress, physical and psychosocial morbidity in people with cancer over a one year period. Psycho-oncology. 2013;22(1):168–76.

    Article  PubMed  Google Scholar 

  15. Hegel MT, Moore CP, Collins ED, Kearing S, Gillock KL, Riggs RL, et al. Distress, psychiatric syndromes, and impairment of function in women with newly diagnosed breast cancer. Cancer. 2006;107(12):2924–31.

    Article  PubMed  Google Scholar 

  16. Stafford L, Judd F, Gibson P, Komiti A, Mann GB, Quinn M. Screening for depression and anxiety in women with breast and gynaecologic cancer: course and prevalence of morbidity over 12 months. Psycho-oncology. 2013;22(9):2071–8.

    Article  PubMed  Google Scholar 

  17. McGregor BA, Antoni MH. Psychological intervention and health outcomes among women treated for breast cancer: a review of stress pathways and biological mediators. Brain Behav Immun févr. 2009;23(2):159–66.

    Article  CAS  Google Scholar 

  18. Otte C, Gold SM, Penninx BW, Pariante CM, Etkin A, Fava M, et al. Major depressive disorder. Nat Rev Dis Primers 15 sept. 2016;2(1):1–20.

    Google Scholar 

  19. Pilevarzadeh M, Amirshahi M, Afsargharehbagh R, Rafiemanesh H, Hashemi SM, Balouchi A. Global prevalence of depression among breast cancer patients: a systematic review and meta-analysis. Breast Cancer Res Treat août. 2019;176(3):519–33.

    Article  Google Scholar 

  20. Hashemi SM, Rafiemanesh H, Aghamohammadi T, Badakhsh M, Amirshahi M, Sari M, et al. Prevalence of anxiety among breast cancer patients: a systematic review and meta-analysis. Breast Cancer mars. 2020;27(2):166–78.

    Article  Google Scholar 

  21. Brandão T, Schulz MS, Matos PM. Psychological adjustment after breast cancer: a systematic review of longitudinal studies. Psycho-oncology. 2017;26(7):917–26.

    Article  PubMed  Google Scholar 

  22. Yang H, Brand JS, Fang F, Chiesa F, Johansson ALV, Hall P, et al. Time-dependent risk of depression, anxiety, and stress-related disorders in patients with invasive and in situ breast cancer. Int J Cancer 15 févr. 2017;140(4):841–52.

    Article  CAS  Google Scholar 

  23. Larsen P, Hummel F. Chronic illness impact and interventions. In: Adaptation to chronic illness. 8th éd. Boston: Jones and Bartlett; 2013.

  24. Ashok A, Sude NS, Karanam BR. VPK. Prospective Evaluation of Response Outcomes of Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer. Cureus [Internet]. 2 févr 2022 [cité 28 nov 2022];14(2). Disponible sur: https://www.cureus.com/articles/85056-prospective-evaluation-of-response-outcomes-of-neoadjuvant-chemotherapy-in-locally-advanced-breast-cancer

  25. Manzoor S, Anwer M, Soomro S, Kumar D. Presentation, diagnosis and management of locally advanced breast cancer: is it different in low/middle income countries? Pak J Med Sci déc. 2019;35(6):1554–7.

    Google Scholar 

  26. Puig CA, Hoskin TL, Day CN, Habermann EB, Boughey JC. National Trends in the Use of Neoadjuvant Chemotherapy for hormone receptor-negative breast Cancer: a National Cancer Data Base Study. Ann Surg Oncol 1 mai. 2017;24(5):1242–50.

    Article  Google Scholar 

  27. Joko-Fru WY, Miranda‐Filho A, Soerjomataram I, Egue M, Akele‐Akpo M, N’da G, et al. Breast cancer survival in sub‐Saharan Africa by age, stage at diagnosis and human development index: a population‐based registry study. Int J Cancer 1 mars. 2020;146(5):1208–18.

    Article  CAS  Google Scholar 

  28. Trabulsi NH, Shabkah AA, Ujaimi R, Iskanderani O, Kadi MS, Aljabri N, et al. Locally advanced breast Cancer: treatment patterns and predictors of Survival in a saudi Tertiary Center. Cureus juin. 2021;13(6):e15526.

    Google Scholar 

  29. Bouchbika Z, Haddad H, Benchakroun N, Eddakaoui H, Kotbi S, Megrini A, et al. Cancer incidence in Morocco: report from Casablanca registry 2005–2007. Pan Afr Med J. 2013;16:31.

    Article  PubMed  PubMed Central  Google Scholar 

  30. IARC, Ministry of Health, Kingdom of Morocco, Lalla Salma Foundation for Cancer Prevention and Treatment. Patterns of Care for Women with Breast Cancer in Morocco: An Assessment of Breast Cancer Diagnosis, Management, and Survival in Two Leading Oncology Centres [Internet]. 2021 [cité 24 nov 2022]. Disponible sur: https://publications.iarc.fr/Non-SeriesPublications/Other-Non-Series-Publications/Patterns-Of-Care-For-Women-With-Breast-Cancer-In-Morocco-An-Assessment-Of-Breast-Cancer-Diagnosis-Management-And-Survival-In-Two-Leading-Oncology-Centres-2021.

  31. Garg PK, Prakash G. Current definition of locally advanced breast cancer. Curr Oncol oct. 2015;22(5):e409–10.

    Article  Google Scholar 

  32. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. Cancer J Clin. 2018;68(1):7–30.

    Article  Google Scholar 

  33. Garg PK. Inflammatory breast cancer: a clinical diagnosis. Singap Med J mars. 2014;55(3):170.

    Google Scholar 

  34. Mandilaras V, Bouganim N, Spayne J, Dent R, Arnaout A, Boileau JF et al. Concurrent chemoradiotherapy for locally advanced breast cancer-time for a new paradigm? Curr Oncol. févr 2015;22(1):25–32.

  35. Simos D, Clemons M, Ginsburg OM, Jacobs C. Definition and consequences of locally advanced breast cancer. Curr Opin Support Palliat Care mars. 2014;8(1):33–8.

    Article  Google Scholar 

  36. Lee MC, Newman LA. Management of patients with locally advanced breast cancer. Surg Clin North Am avr. 2007;87(2):379–98. ix.

    Article  Google Scholar 

  37. Klein J, Tran W, Watkins E, Vesprini D, Wright FC, Look Hong NJ et al. Locally advanced breast cancer treated with neoadjuvant chemotherapy and adjuvant radiotherapy: a retrospective cohort analysis. BMC Cancer. 3 avr 2019;19(1):306.

  38. Mougalian SS, Soulos PR, Killelea BK, Lannin DR, Abu-Khalaf MM, DiGiovanna MP, et al. Use of neoadjuvant chemotherapy for patients with stage I to III breast cancer in the United States. Cancer. 2015;121(15):2544–52.

    Article  PubMed  Google Scholar 

  39. Kim SI, Sohn J, Koo JS, Park SH, Park HS, Park BW. Molecular Subtypes and Tumor Response to Neoadjuvant Chemotherapy in patients with locally advanced breast Cancer. OCL. 2010;79(5–6):324–30.

    CAS  Google Scholar 

  40. Zigmond AS, Snaith RP. The Hospital anxiety and Depression Scale. Acta psychiatrica Scandinavica. 1983;67(6):361–70.

    Article  CAS  PubMed  Google Scholar 

  41. Annunziata MA, Muzzatti B, Bidoli E, Flaiban C, Bomben F, Piccinin M, et al. Hospital anxiety and Depression Scale (HADS) accuracy in cancer patients. Support Care Cancer août. 2020;28(8):3921–6.

    Article  Google Scholar 

  42. Mitchell AJ, Meader N, Symonds P. Diagnostic validity of the hospital anxiety and Depression Scale (HADS) in cancer and palliative settings: a meta-analysis. J Affect Disord nov. 2010;126(3):335–48.

    Article  Google Scholar 

  43. Al-Shaaobi A, Alahdal M, Yu S, Pan H. The efficiency of distress thermometer in the determination of supporting needs for cancer inpatients. Libyan J Med [Internet]. 2021 [cité 5 déc 2022];16(1). Disponible sur: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344234/

  44. Chen L, Ma X, Zhu N, Xue H, Zeng H, Chen H et al. Facial Expression Recognition With Machine Learning and Assessment of Distress in Patients With Cancer. Oncol Nurs Forum. 4 janv 2021;48(1):81–93.

  45. Dolbeault S, Bredart A, Mignot V, Hardy P, Gauvain-Piquard A, Mandereau L, et al. Screening for psychological distress in two french cancer centers: feasibility and performance of the adapted distress thermometer. Palliat Supportive Care juin. 2008;6(2):107–17.

    Article  Google Scholar 

  46. Grassi L, Sabato S, Rossi E, Marmai L, Biancosino B. Affective syndromes and their screening in cancer patients with early and stable disease: italian ICD-10 data and performance of the Distress Thermometer from the southern european psycho-oncology study (SEPOS). J Affect Disord avr. 2009;114(1–3):193–9.

    Article  Google Scholar 

  47. Ibbotson T, Maguire P, Selby P, Priestman T, Wallace L. Screening for anxiety and depression in cancer patients: the effects of disease and treatment. Eur J Cancer 1 janv. 1994;30(1):37–40.

    Article  Google Scholar 

  48. Jacobsen PB, Donovan KA, Trask PC, Fleishman SB, Zabora J, Baker F, et al. Screening for psychologic distress in ambulatory cancer patients. Cancer. 2005;103(7):1494–502.

    Article  PubMed  Google Scholar 

  49. Ma X, Zhang J, Zhong W, Shu C, Wang F, Wen J, et al. The diagnostic role of a short screening tool–the distress thermometer: a meta-analysis. Support Care Cancer juill. 2014;22(7):1741–55.

    Article  Google Scholar 

  50. Vodermaier A, Millman RD. Accuracy of the hospital anxiety and Depression Scale as a screening tool in cancer patients: a systematic review and meta-analysis. Support Care Cancer déc. 2011;19(12):1899–908.

    Article  Google Scholar 

  51. Wang Y, Zou L, Jiang M, Wei Y, Jiang Y. Measurement of distress in chinese inpatients with lymphoma. Psycho-oncology. 2013;22(7):1581–6.

    Article  PubMed  Google Scholar 

  52. Malasi TH, Mirza IA, El-Islam MF. Validation of the hospital anxiety and Depression Scale in Arab patients. Acta psychiatrica Scandinavica. 1991;84(4):323–6.

    Article  CAS  PubMed  Google Scholar 

  53. Goorts B, van Nijnatten TJA, de Munck L, Moossdorff M, Heuts EM, de Boer M, et al. Clinical tumor stage is the most important predictor of pathological complete response rate after neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Res Treat. 2017;163(1):83–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Yin Y, Zhang P, Xu BH, Zhang BL, Li Q, Yuan P, et al. Unfavorable pathological complete response rate of neoadjuvant chemotherapy epirubicin plus taxanes for locally advanced triple-negative breast cancer. J Huazhong Univ Sci Technolog Med Sci avr. 2013;33(2):262–5.

    Article  CAS  Google Scholar 

  55. Klikovac T, Djurdjevic A. Psychological aspects of the cancer patients’ education: thoughts, feelings, behavior and body reactions of patients faced with diagnosis of cancer. J BUON. 2010;15(1):153–6.

    CAS  PubMed  Google Scholar 

  56. Montgomery M, McCrone SH. Psychological distress associated with the diagnostic phase for suspected breast cancer: systematic review. J Adv Nurs nov. 2010;66(11):2372–90.

    Article  Google Scholar 

  57. Oh GH, Yeom CW, Shim EJ, Jung D, Lee KM, Son KL et al. The effect of perceived social support on chemotherapy-related symptoms in patients with breast cancer: a prospective observational study. J Psychosom Res 20 déc 2019;109911.

  58. Sanghyup J, Kl S, Jy SJ, Gh M, Cw O. Y, The longitudinal effects of chronotype on chemotherapy-induced nausea and vomiting in patients with breast cancer receiving neoadjuvant chemotherapy. J Psychosom Res [Internet] juin 2022 [cité 29 juin 2022];157. Disponible sur: https://pubmed.ncbi.nlm.nih.gov/35381494/

  59. LeVasseur N, Li H, Cheung W, Myers P, Mckevitt E, Warburton R, et al. Effects of high anxiety scores on Surgical and overall treatment plan in patients with breast Cancer treated with neoadjuvant therapy. Oncologist. 2020;25(3):212–7.

    Article  PubMed  Google Scholar 

  60. Lacourt TE, Koncz Z, Tullos EA, Tripathy D. A detailed description of the distress trajectory from pre- to post-treatment in breast cancer patients receiving neoadjuvant chemotherapy. Breast Cancer Res Treat janv. 2023;197(2):299–305.

    Article  CAS  Google Scholar 

  61. El kherchi O, Aquil A, El khoudri N, Mouallif M, Daghi M, Guerroumi M et al. Anxiety and Depression Comorbidities in Moroccan Patients With Breast Cancer. Front Psychiatry [Internet]. 12 janv 2021 [cité 10 févr 2021];11. Disponible sur: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835395/

  62. Harch IE, Benmaamar S, Oubelkacem N, Jennane R, Diagne BJ, Maiouak M, et al. Prevalence and Associated factors with anxiety and depression in patients with systemic Lupus Erythematosus in a moroccan region. Open Access Library Journal 29 janv. 2022;9(2):1–14.

    Google Scholar 

  63. Zdenkowski N, Butow P, Spillane A, Douglas C, Snook K, Jones M, et al. Single-arm longitudinal study to evaluate a decision aid for women offered Neoadjuvant systemic therapy for operable breast Cancer. J Natl Compr Canc Netw avr. 2018;16(4):378–85.

    Article  Google Scholar 

  64. Lacourt TE, Koncz Z, Tullos EA, Tripathy D. A detailed description of the distress trajectory from pre- to post-treatment in breast cancer patients receiving neoadjuvant chemotherapy. Breast Cancer Res Treat 1 janv. 2023;197(2):299–305.

    Article  CAS  Google Scholar 

  65. Syrowatka A, Motulsky A, Kurteva S, Hanley JA, Dixon WG, Meguerditchian AN, et al. Predictors of distress in female breast cancer survivors: a systematic review. Breast Cancer Res Treat. 2017;165(2):229–45.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Anisman H, Hayley S, Kusnecov A. Chapter 4 - life-style factors affecting biological processes and health. In: Anisman H, Hayley S, Kusnecov A, editors. éditeurs. The Immune System and Mental Health [Internet]. San Diego: Academic Press; 2018. pp. 103–39. [cité 29 déc 2019]. http://www.sciencedirect.com/science/article/pii/B9780128113516000048

    Chapter  Google Scholar 

  67. Ilic MB, Mitrovic SL, Vuletic MS, Radivojcevic UM, Janjic VS, Stanković VD, et al. Correlation of clinicopathological characteristics of breast carcinoma and depression. Healthc sept. 2019;7(3):107.

    Article  Google Scholar 

  68. Ernstmann N, Enders A, Halbach S, Nakata H, Kehrer C, Pfaff H, et al. Psycho-oncology care in breast cancer centres: a nationwide survey. BMJ Support Palliat Care déc. 2020;10(4):e36.

    Article  Google Scholar 

  69. Kubota Y, Okuyama T, Uchida M, Umezawa S, Nakaguchi T, Sugano K, et al. Effectiveness of a psycho-oncology training program for oncology nurses: a randomized controlled trial. Psychooncology juin. 2016;25(6):712–8.

    Article  Google Scholar 

  70. Lewis FM. Shifting perspectives: family-focused oncology nursing research. Oncol Nurs Forum. 2004;31(2):288–92.

    Article  PubMed  Google Scholar 

  71. O’Donnell E. The distress thermometer: a rapid and effective tool for the oncology social worker. Int J Health Care Qual Assur. 2013;26(4):353–9.

    Article  PubMed  Google Scholar 

  72. Dreismann L, Goretzki A, Ginger V, Zimmermann T. What if? I Asked Cancer Patients About Psychological Distress? Barriers in Psycho-Oncological Screening From the Perspective of Nurses-A Qualitative Analysis. Front Psychiatry. 2021;12:786691.

  73. Neumann M, Galushko M, Karbach U, Goldblatt H, Visser A, Wirtz M, et al. Barriers to using psycho-oncology services: a qualitative research into the perspectives of users, their relatives, non-users, physicians, and nurses. Support Care Cancer sept. 2010;18(9):1147–56.

    Article  Google Scholar 

  74. Strong V, Sharpe M, Cull A, Maguire P, House A, Ramirez A. Can oncology nurses treat depression? A pilot project. J Adv Nurs juin. 2004;46(5):542–8.

    Article  Google Scholar 

  75. Catherine C. Psychosocial Dimensions of Oncology Nursing Care (Second Edition) [Internet]. ONS. 2009 [cité 15 janv 2023]. Disponible sur: https://www.ons.org/books/psychosocial-dimensions-oncology-nursing-care-second-edition

Download references

Acknowledgements

A special thank goes out to all patients and their families for agreeing to participate in our study. The residents and nurses who provided oncological consultations, as well as the hostesses at the hospital, are also sincerely thanked for helping conduct this study. Our thanks also go out to Prof. Giesy who was supported by a distinguished visiting professorship in Environmental Science at Baylor University in Waco, Texas. The authors extend their appreciation to Researchers Supporting Project number (RSP-2022R520), King Saud University, Riyadh, Saudi Arabia.

Funding

This Research was funded by the Researchers Supporting Project number (RSP-2022R520), King Saud University, Riyadh, Saudi Arabia.

Author information

Authors and Affiliations

Authors

Contributions

Each author made unique contributions to the paper and the editing process. Project Administration: B.Z.; Conceptualization: B.Z. L.A., and M.O; Methodology: M.E.A.R. and Z.B.; Investigation: M.O., L.A., S. N. and S. K.; Formal Analysis: B.Z., J. E. H. and A.E.A.; Data curation, M.O. and B.Z.; Visualization and validation: Y.A.A. and K.E.R.; Supervision: K.H., K.E.R. and M. N.; Writing original draft: M.O., B.Z. and L.A.; Review and editing: Y.A.A., J.P.G., M.A. M.A.-S. and Z.B.. Each author made unique contributions to the paper and the editing process.

Corresponding author

Correspondence to Majid Omari.

Ethics declarations

Ethics approval and consent to participate

The study was conducted according to the guidelines of the Declaration of Helsinki and the ethical approval was obtained from the hospital-university ethics committee of Sidi Mohamed Ben Abdellah University (N°24/18). Informed consent was taken from all the participants. All the participants were notified about the aim of the study and had provided written consent before starting the investigation.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Additional file 1: Supplementary Table S1

. Bivariate analysis of depression, anxiety and psychological distress with sociodemographic variables.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Omari, M., Amaadour, L., Zarrouq, B. et al. Evaluation of psychological distress is essential for patients with locally advanced breast cancer prior to neoadjuvant chemotherapy: baseline findings from cohort study. BMC Women's Health 23, 445 (2023). https://doi.org/10.1186/s12905-023-02571-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12905-023-02571-1

Keywords