Evidence map›Paper›PMID 41062610›Full record

ArticleScientific reports2025

The effect of marital status on cervical cancer related prognosis: a propensity score matching study.

Kaige Pei, Mingrong Xi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Kaige PeiDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, No. 20, Section 3, Renmin South Road, Wuhou District, Chengdu, Sichuan Province, China.
Mingrong XiDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, No. 20, Section 3, Renmin South Road, Wuhou District, Chengdu, Sichuan Province, China. xmrjzz@126.com.

Funding

the Health Care Scientific and Technology Project of Sichuan Province 2022-1701the National Natural Science Foundation of China (NSFC) No. 82272710
6 · The paper itself

Abstract

Cervical cancer is the fourth most common malignancy in women worldwide and the fourth leading cause of cancer death in women. Although an association between marital status and prognosis has been observed in a variety of malignancies, this link has not been fully elucidated in the field of cervical cancer. A total of 30,853 patients were enrolled in this study, of whom 14,286 (46.3%) were married and 16,567 (53.7%) were unmarried. The median follow-up time was 76 months. Before propensity score matching (PSM), cancer-specific survival (CSS) (HR = 1.55, 95% CI 1.49-1.61, p < 0.001) and overall survival (OS) (HR = 1.66, 95% CI 1.61-1.73, p < 0.001) in unmarried patients were significantly lower than those in married patients. After 1:1 PSM matching, there were 10,771 patients in each of the two groups, and baseline features were balanced (p > 0.05 for all variables). Even after PSM, CSS (HR = 1.07, 95% CI 1.02-1.13, p = 0.003) and OS (HR = 1.13, 95% CI 1.08-1.18, p < 0.001) of unmarried patients were significantly lower than those of married patients. Multivariate Cox regression analysis confirmed that unmarried status was an independent risk factor for CSS (HR = 1.12, 95% CI 1.07-1.17, p < 0.001) and OS (HR = 1.19, 95% CI 1.14-1.24, p < 0.001). Based on the large sample size analysis, this study revealed the association between unmarried status and poor prognosis of cervical cancer, and confirmed that marital status is an independent factor affecting the prognosis of cervical cancer. Nevertheless, more prospective studies and in-depth mechanistic studies are needed to validate our findings and explore the biological basis behind them.

Indexed as

Marital StatusUterine Cervical NeoplasmsAdultFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMiddle AgedNeoplasm StagingPrognosisPropensity ScoreSEER ProgramUnited StatesCervical cancerCox regression modelMarital statusPropensity score matchingSurvival analysis

Identifiers

PMID41062610
PMCPMC12508153

What Socratic holds

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LicenceCC BY
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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 Socratic graph.