ArticleCancer medicine2017
Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level.
Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Detection of response shift in health-related quality of life studies: a systematic review.Health and quality of life outcomes · 2022Pooled it
- The Role of Response-Shift in Studies Assessing Quality of Life Outcomes Among Cancer Patients: A Systematic Review.Frontiers in oncology · 2019Pooled it
- Long-Term Influence of the Practice of Physical Activity on the Self-Perceived Quality of Life of Women with Breast Cancer: A Randomized Controlled Trial.International journal of environmental research and public health · 2020Trial
- Response shift-adjusted longitudinal assessment of patient-reported outcomes in older people living with HIV: a multilevel structural equation and Rasch analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Rasch models to assess the impact of lack of measurement invariance and reveal hidden differences in anxiety and depression between groups and over time in patients with early-stage melanoma or breast cancer using the RespOnse Shift ALgorithm at the Item level (ROSALI).BMC medical research methodology · 2026Article
- Quality of Life in Breast Cancer Survivors in Relation to Age, Type of Surgery and Length of Time since First Treatment.International journal of environmental research and public health · 2022Article
- Critical examination of current response shift methods and proposal for advancing new methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
- Challenges and lessons learned from using anchoring vignettes to explore quality of life response behavior.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020Article
- The long-term course of fatigue following breast cancer diagnosis.Journal of patient-reported outcomes · 2020Article
- How to Investigate the Effects of Groups on Changes in Longitudinal Patient-Reported Outcomes and Response Shift Using Rasch Models.Frontiers in psychology · 2020Article
- Depression Reappraisal and Treatment Effect: Will Response Shift Help Improve the Estimation of Treatment Efficacy in Trials for Mood Disorders?Frontiers in psychiatry · 2019Article
- Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level.Cancer medicine · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fatigue is the most prevalent symptom in breast cancer. It might be perceived differently among patients over time as a consequence of the differing patients' adaptation and psychological adjustment to their cancer experience which can be related to response shift (RS). RS analyses can provide important insights on patients' adaptation to cancer but it is usually assumed that RS occurs in the same way in all individuals which is unrealistic. This study aimed to identify patients' subgroups in which different RS effects on self-reported fatigue could occur over time using a combination of methods for manifest and latent variables. The FATSEIN study comprised 466 breast cancer patients followed over a 2-year period. Fatigue was measured with the Multidimensional Fatigue Inventory questionnaire (MFI-20) during 10 visits. A novel combination of Mixed Models, Growth Mixture Modeling, and Structural Equation Modeling was used to assess the occurrence of RS in fatigue changes to identify subgroups displaying different RS patterns over time. An increase in fatigue was evidenced over the 8-month follow-up, followed by a decrease between the 8- and 24-month. Four latent classes of patients were identified. Different RS patterns were detected in all latent classes between the inclusion and 8 months (last cycle of chemotherapy). No RS was evidenced between 8- and 24-month. Several RS effects were evidenced in different groups of patients. Women seemed to adapt differently to their treatment and breast cancer experience possibly indicating differing needs for medical/psychological support.
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