Evidence map›Paper›PMID 40627605›Full record

SynthesisPloS one2025

Time since last birth and the risk of endometrial cancer: A meta-analysis of observational studies.

Juan Gu, Yuchen Lai, Huafeng Shou, Liping Wang

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Juan GuDepartment of Gynecology, Zhejiang Provincial People's Hospital and People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.ORCID 0000-0001-8723-1044
Yuchen LaiDepartment of Gynecology, Zhejiang Provincial People's Hospital and People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.
Huafeng ShouDepartment of Gynecology, Zhejiang Provincial People's Hospital and People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.
Liping WangCenter for General Practice Medicine, Zhejiang Provincial People's Hospital and People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEndometrial cancer, an adenocarcinoma originating from the uterine lining, is the most prevalent cancer of the female genital tract globally.Identifying early risk factors for endometrial cancer is crucial for prevention.Prior research suggests that pregnancy may lower endometrial cancer risk by reducing estrogen exposure.This meta-analysis aims to delve into the existing population-based longitudinal studies to evaluate the association between the time elapsed since the last birth and the risk of endometrial cancer. METHODS AND ANALYSIS: We searched PubMed, Cochrane Library, Embase, and Web of Science for cohort studies published up to June 21, 2024, using relevant medical subject headings (MeSH) and keywords. Statistical analyses were conducted using Stata version 14.0. A fixed-effects model was applied if P > 0.1 and I2 ≤ 50%; otherwise, a random-effects model was used to account for significant heterogeneity Publication bias was assessed using funnel plots and Egger's test. Our meta-analysis included 3 cohort studies and 5 case-control studies with a total of 3,310,734 participants, published between 1994 and 2024. The analysis revealed that time since last birth is associated with endometrial cancer risk. Specifically, a period of 0-10 years since the last birth was linked to a reduced risk of endometrial cancer (OR= 0.431; 95% CI: 0.351-0.530). A period of 10-20 years since the last birth also showed a decreased risk (OR=0.867; 95% CI:0.747-1.007), whereas more than 20 years since the last birth was associated with an increased risk (OR = 1.304; 95% CI: 1.111-1.530).

conclusionsOur meta-analysis indicates that a shorter time since the last birth is protective against endometrial cancer, whereas a longer interval increases risk. Further research is needed to clarify the underlying mechanisms of this association. These findings are crucial for developing new strategies for endometrial cancer prevention and treatment.

Indexed as

Endometrial NeoplasmsCase-Control StudiesFemaleHumansObservational Studies as TopicPregnancyRisk FactorsTime Factors

Identifiers

PMID40627605
PMCPMC12237066

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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.