Evidence map›Paper›PMID 41803117›Full record

ArticleScientific reports2026

Analysis of factors associated with cervical cancer and precancerous lesions.

Danhong Hu, Yin Zhao, Mengnan Han, Weiwei Qian, Xiangqian Xu, Shaoqin Sheng

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

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

6 authors.

Danhong Hu *Zhejiang Chinese Medical University, Hangzhou, 310016, Zhejiang, China.
Yin Zhao *Zhejiang Chinese Medical University, Hangzhou, 310016, Zhejiang, China.
Mengnan HanDepartment of Ultrasound, Ningbo No.2 Hospital, Ningbo, 315010, Zhejiang, China.
Weiwei QianZhejiang Chinese Medical University, Hangzhou, 310016, Zhejiang, China.
Xiangqian XuHangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Shaoqin ShengZhejiang Chinese Medical University, Hangzhou, 310016, Zhejiang, China. shshaoqin@sina.com.

Funding

Health Science and Technology Project of Hangzhou ZD20230118Medical Science and Technology Project of Zhejiang Province 2023KY997
6 · The paper itself

Abstract

To investigate factors influencing cervical cancer and precancerous lesions by collecting and analyzing clinical data and pathological results from 2,998 patients undergoing cervical biopsy; Pathological results and clinical data of 2,998 patients who underwent cervical biopsy at the gynecology outpatient clinic of a tertiary hospital in Hangzhou (January 2022-January 2023) were collected. Univariate analysis and multivariate unconditional logistic regression models were used to analyze relevant influencing factors; The results of univariate and multivariate analyses showed that cervical lesions were related to Human Papillomavirus (HPV) infection and the number of deliveries (P < 0.05) but were not related to age, number of pregnancies, number of abortions, use of condoms for contraception, and smoking (P > 0.05); Cervical cancer and precancerous lesions are associated with HPV infection and number of deliveries. It is imperative to implement a series of prevention and treatment measures to inhibit the onset and progression of cervical diseases, thereby reducing their incidence and mortality rates.

Indexed as

Papillomavirus InfectionsPrecancerous ConditionsUterine Cervical NeoplasmsAdultChinaFemaleHuman Papillomavirus VirusesHumansMiddle AgedRisk FactorsUterine Cervical DysplasiaCancer of the cervixEpidemiology of GYN cancersHPV infection and CIN

Identifiers

PMID41803117
PMCPMC13009180

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.