ReviewCureus2026
Impact of Obesity and Adiposity Measures on Perioperative Outcomes in Gynecologic Malignancy Surgery: A Systematic Review.
Review in Cureus, 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is associated with increased perioperative morbidity and greater operative complexity in gynecologic oncology surgery. Minimally invasive approaches may reduce some obesity-related complications, while adiposity and body composition measures may provide more accurate perioperative risk stratification than body mass index (BMI) alone. This systematic review evaluated obesity-related predictors of perioperative morbidity following gynecologic oncology surgery, with a specific objective of comparing BMI with alternative adiposity- and body-composition-based measures as predictors of perioperative outcomes. This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 guidelines and was registered with the Open Science Framework (OSF) Registry (doi:10.17605/OSF.IO/4TY9B). Several databases were searched for studies evaluating obesity, BMI, and adiposity-related measures as predictors of perioperative morbidity after gynecologic oncology surgery. Records were screened in
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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.