ArticleJournal of cancer survivorship : research and practice2026
Patterns of sexual dysfunction among breast cancer survivors five years after diagnosis: a latent class analysis of the French VICAN5 study.
Article in Journal of cancer survivorship : research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
purposeSexual health concerns are highly prevalent among breast cancer survivors. Sexual dysfunction can occur from various causes, including the cancer itself, treatment side effects, and psychological distress. Therefore, this study aimed to identify distinct patterns of sexual dysfunction among women in remission from breast cancer 5 years after diagnosis using latent class analysis (LCA) and to examine factors associated with higher sexual dysfunction classes.
methodsWe conducted a cross-sectional secondary analysis of data from 356 women participating in the French nationwide VICAN5 survey 5 years after breast cancer diagnosis. Sexual dysfunction was assessed using five selected items from the Relationship and Sexuality Scale (RSS), and LCA was applied to these indicators to identify distinct dysfunction patterns. Ordinal logistic regression was used to examine factors associated with higher sexual dysfunction classes.
resultsA three-class model best fit the data, identifying no/low (n = 124, 34.8%), moderate (n = 133, 37.4%), and high (n = 99, 27.8%) sexual dysfunction classes. Older age at diagnosis (>50 years) (aOR, 2.30; 95% CI, 1.34-3.97; p = 0.003), frequent alcohol consumption (aOR, 2.00; 95% CI, 1.05-3.84; p = 0.036), radiotherapy (aOR, 2.36; 95% CI, 1.21-4.61; p = 0.012), current adjuvant endocrine therapy use (aOR, 1.87; 95% CI, 1.14-3.06; p = 0.013), frequent excessive sweating (aOR, 1.67; 95% CI, 1.01-2.77; p = 0.047), frequent paresthesia in the breast/arm (aOR, 1.78; 95% CI, 1.07-2.95; p = 0.026), hypnotic use (aOR, 1.66; 95% CI, 1.09-2.53; p = 0.018), and feeling less sexually attractive (aOR, 4.72; 95% CI, 3.01-7.41; p < 0.001) were associated with higher odds of being in a higher sexual dysfunction class.
conclusionsSexual dysfunction remained common 5 years after breast cancer diagnosis, with more than one-quarter of survivors having high sexual dysfunction. These results suggest that the assessment of sexual health should be incorporated into survivorship care for breast cancer, especially in women experiencing issues with body image and persistent treatment symptoms. IMPLICATIONS FOR CANCER SURVIVORS: Sexual health should be integrated into survivorship care, including oncosexual consultations, psychosexual support for body image concerns, and management of persistent treatment-related symptoms.
Indexed as
Identifiers
42668330What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.