Evidence map›Paper›PMID 41938839›Full record

ArticleEClinicalMedicine2026

Development of an early prediction model for endometriosis risk: the simplified adolescent factors for endometriosis (SAFE) score.

Gita D Mishra, Mohammad Reza Baneshi, Sally Mortlock, Grant W Montgomery, Jenny Doust, Annette J Dobson, Jason Abbott

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

7 authors.

Gita D MishraAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, QLD 4006, Australia.
Mohammad Reza BaneshiAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, QLD 4006, Australia.
Sally MortlockAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, QLD 4006, Australia.
Grant W MontgomeryInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Jenny DoustAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, QLD 4006, Australia.
Annette J DobsonAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, QLD 4006, Australia.
Jason AbbottSchool of Clinical Medicine, Medicine and Health, Discipline of Women's Health, University of New South Wales Sydney, NSW 2033, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometriosis affects 11% of women of reproductive age. Diagnosis is often delayed by 6-8 years due to nonspecific symptoms and lack of early detection tools. This study aimed to develop an early risk prediction model for endometriosis to support referral decisions in primary care. Methods: Data were from an endometriosis-focused sub-study of the Australian Longitudinal Study on Women's Health. Data were split into a training (75% of women born 1989-95, n = 4005), internal test (remaining 25%, n = 1335), and external test (women born 1973-78, n = 4077) samples. Stable risk factors were identified using a bootstrapping procedure with multivariable logistic regression. A logistic regression model based on these factors was used to develop the Simplified Adolescent Factors for Endometriosis (SAFE) score, calculated as a count of risk factors. Models were evaluated in all three samples. Findings: Six stable risk factors were identified; three factors related to severity of general pelvic pain, two with menstrual disorders, and one with a family history of endometriosis. For the final logistic regression model, the areas under the curves (AUCs) were 0.81, 0.78, and 0.72 for the training, internal, and external test samples, respectively. Using the SAFE score (values 0-6), the corresponding AUCs were 0.79 (95% CI: 0.77-0.82), 0.79 (95% CI: 0.75-0.83), and 0.71 (95% CI: 0.69-0.73). Using a cut-point of ≥2 for the SAFE score, the corresponding sensitivity was 59.6, 64.2, and 46.7, specificity was 83.4, 82.6, and 85.7, and negative predictive value was 94.6, 94.4, and 89.7. Interpretation: The SAFE score is an evidence-based tool to guide endometriosis referrals in primary care. It shows strong statistical performance and warrants clinical evaluation. Funding: The ALSWH study is funded by the Australian Government Department of Health, Disability, and Ageing. The GELLES study is supported by the Medical Research Future Fund (MRFF) (MRFF1199785). GDM and GWM are Australian National Health and Medical Research Council (NHMRC) Fellows (APP2009577; GNT1177194). SM is a National Endometriosis Clinical and Scientific Trials Network Fellow.

Indexed as

Decision support aidEndometriosisPrimary careYoung women

Identifiers

PMID41938839
PMCPMC13043476

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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.