ArticleCancers2026
Investigating the Prognostic Value of Pretreatment Body Composition in Women with Ovarian Cancer: Impact on Clinical Outcomes.
Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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
1 citing paper in PubMed.
- Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesIn ovarian cancer, the association between low muscle mass and outcomes is unclear, despite well-established evidence in other cancer diagnoses. Overall body composition may have greater prognostic value. This study aimed to investigate associations between body composition and clinical outcomes.
methodsRetrospective study of women diagnosed with ovarian cancer between August 2020 and March 2024. Clinical characteristics were extracted from medical records. Body composition phenotypes (low skeletal muscle index [SMI], low skeletal muscle density [SMD], high subcutaneous [SATI], visceral [VATI] and total adipose tissue index [TATI]) were assessed from pre-treatment CT images. Logistic regression, chi-squared, Fisher's exact tests, and Mann-Whitney U tests were used to assess associations between body composition phenotypes, patient characteristics and study outcomes. Cox proportional hazards models were fitted to examine associations with survival.
resultsNinety-nine patients [mean (SD) age 61 (12.7) years, 80% stage III/IV] were included. Overall, 67 (67%) women had low SMI, 57 (57%) low SMD, and 49 (49%) high TATI. Thirty-seven (37%) women had low SMI and low SMD, 23 (23%) low SMI with high TATI, and 33 (33%) low SMD with high TATI. Post-menopausal status was associated with higher VAT (
conclusionThese findings suggest additive effects when phenotypes co-occur. In ovarian cancer, singular assessments may be an oversimplification. Future studies should continue to consider co-occurring phenotypes to adequately capture risk.
Indexed as
Identifiers
What 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.