Evidence map›Paper›PMID 42371490›Full record

ArticleJournal of pain research2026

Risk Factors and Nomogram for Postpartum Myofascial Pelvic Pain: A Prospective Cohort Study.

Yueyun Cai, Yuting Cai, Yuefen Chen, Yuanling Hu, Yu Zhang, Yueqing Lin

Abstract read
In one paragraph

Article in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yueyun Cai *Department of Gynaecology and Obstetrics, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, People's Republic of China.
Yuting Cai *Department of Gynaecology and Obstetrics, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, People's Republic of China.
Yuefen Chen *Department of Gynaecology and Obstetrics, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, People's Republic of China.
Yuanling Hu *Department of Gynaecology and Obstetrics, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, People's Republic of China.
Yu ZhangDepartment of Gynaecology and Obstetrics, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, People's Republic of China.
Yueqing LinDepartment of Gynaecology and Obstetrics, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, People's Republic of China.ORCID 0009-0006-0758-8224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myofascial pelvic pain (MFPP) is a common but underrecognized postpartum complication. Early identification of women at increased risk may facilitate targeted surveillance and timely postpartum rehabilitation. This study aimed to identify risk factors for postpartum MFPP and develop a predictive nomogram. Methods: This prospective cohort study included 671 women who delivered at a tertiary hospital between December 2022 and December 2024. Postpartum MFPP was diagnosed using standardized trigger point assessments by two independent blinded specialists. Participants were randomly assigned to training (n = 505) and validation (n = 166) sets. Multivariable logistic regression was used to identify independent risk factors and construct a nomogram. Results: The incidence of MFPP was 12.9% in the training set and 11.4% in the validation set. Four independent risk factors were identified: neonatal birth weight ≥4 kg (OR 3.632), vaginal laceration (OR 2.448), parity ≥3 (OR 2.975), and history of dyspareunia (OR 2.381). The nomogram achieved an AUC of 0.681 in the training set and 0.656 in the validation set, indicating moderate discriminative ability. Calibration analysis showed acceptable agreement between predicted and observed risks, and decision curve analysis suggested a positive net clinical benefit across clinically relevant threshold probabilities. Conclusion: Macrosomia, vaginal laceration, grand multiparity, and history of dyspareunia are independently associated with postpartum MFPP. The proposed nomogram may serve as a preliminary and clinically accessible tool for early risk stratification, although further multicenter validation is needed before widespread clinical application.

Indexed as

myofascial pelvic painnomogrampostpartum periodpredictive modelprospective cohort studyrisk factors

Identifiers

PMID42371490
PMCPMC13310500

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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.