Evidence map›Paper›PMID 38405761›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Adiposity and cancer: systematic review and meta-analysis.

Eleanor L Watts, Amparo Gonzalez-Feliciano, Marc J Gunter, Nilanjan Chatterjee, Steven C Moore

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 10 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Amparo Gonzalez-Feliciano
Marc J Gunter
Nilanjan Chatterjee
Steven C Moore
Imperial College London · GBJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a growing global health challenge and a major cancer risk factor. We conducted a systematic review and meta-analysis of prospective cohorts quantifying associations between body mass index (BMI) and 25 common cancers, searching PubMed, EMBASE and Scopus through April 23rd, 2025. Across 226 articles comprising 1.5 million cancer data points, BMI was positively associated with 19 cancer types and inversely associated with three. We identified positive associations for leukaemia, non-Hodgkin lymphoma, bladder, and glioma-novel findings which were not reported by major consensus reports. Regional differences were observed, including stronger associations for postmenopausal breast and ovarian cancers in East Asia, and weaker associations for gallbladder cancer. BMI and waist circumference showed similar associations with cancer. We also reviewed Mendelian randomisation studies and emerging imaging-based evidence; genetic data largely supported causality, while imaging-data were limited. Our findings underscore the broad and growing impact of obesity on cancer risk.

Identifiers

PMID38405761
PMCPMC10889047
OpenAlexW4391917361

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.