SynthesisCancer causes & control : CCC2025
Lifestyle factors affecting the prognosis of gynecological cancer: systematic review and meta-analysis.
Synthesis in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Allostatic load in female cancer patients: a systematic review.Frontiers in endocrinology · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis systematic review and meta-analysis aimed to identify key lifestyle factors influencing gynecologic cancer prognosis, focusing on recurrence prevention and mortality reduction.
methodsA comprehensive literature search was conducted in PubMed, Scopus, and CINAHL databases. Twenty cohort studies were included, yielding 152 analytical results. The Newcastle-Ottawa Scale was used for quality assessment. Hazard ratios (HR) with 95% confidence intervals were extracted, and random-effects models were applied when significant heterogeneity was present.
resultsAge (HR 1.58), body mass index (HR 1.18), marital status (HR 1.25), menopausal status (HR 1.44), physical activity (HR 0.91), and race (HR 1.55) significantly influenced gynecologic cancer prognosis. Dairy consumption (HR 1.29) was associated with adverse outcomes, while fruit (HR 0.78) and vegetable intake (HR 0.82) were correlated with improved survival. Diabetes (HR 1.50) and smoking (HR 1.56) were associated with poorer outcomes.
conclusionThis study highlights the significant impact of modifiable lifestyle factors on gynecologic cancer prognosis. Integrating personalized lifestyle interventions into cancer care may improve patient outcomes and survival rates.
Indexed as
Identifiers
40859088What Socratic 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 Socratic graph.