Evidence map›Paper›PMID 42840017›Full record

ArticleFrontiers in oncology2026

Menstrual, reproductive, and contraceptive factors associated with cervical cancer in women aged ≤35 years: an individually matched case-control study.

Lian Liu, Yuying Zhang, Limin He, Lihua Zhou

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. 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

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

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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.

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.

Lian LiuDepartment of Very Important Person (VIP) clinic Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Yuying ZhangDepartment of Very Important Person (VIP) clinic Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Limin HeDepartment of Very Important Person (VIP) clinic Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Lihua ZhouDepartment of Very Important Person (VIP) clinic Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the associations of menstrual, reproductive, and contraceptive characteristics with early-onset cervical cancer among women aged ≤35 years. Methods: A hospital-based, individually matched case-control study was conducted at West China Second University Hospital from January 2022 to December 2024. A total of 300 women aged ≤35 years and with histologically confirmed cervical cancer were individually matched 1:1 to 300 screening controls within 0.5 years of age and 7 days of recruitment. Menstrual, reproductive, and contraceptive histories accrued up to 90 days before the index data were collected through standardized interviews and medical record reviews. Separate exposure-specific conditional logistic regression models stratified by matched pair were adjusted for prespecified sociodemographic, behavioral, screening-related, infection-related, and current high-risk human papillomavirus (hrHPV) covariates. The model samples ranged from 189 to 277 matched pairs. Exploratory subgroup analyses assessed effect modification. Results: In the fully adjusted model, menstrual period duration was associated with early-onset cervical cancer, with evidence of nonlinearity ( Conclusions: Selected menstrual, reproductive, and contraceptive characteristics were associated with early-onset cervical cancer after adjustment for measured confounders and current hrHPV status.

Indexed as

associated factorscase-control studycervical cancermenstruationreproductive history

Identifiers

PMID42840017
PMCPMC13638384

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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.