Evidence map›Paper›PMID 42406164›Full record

ReviewArchives of gynecology and obstetrics2026

Predictive markers of endometriosis: a future perspective.

Alexandre Vallée, Jean-Marc Ayoubi

Abstract readReview
In one paragraph

Review in Archives of gynecology and obstetrics, 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

2 authors.

Alexandre ValléeDepartment of Epidemiology and Public Health, Foch Hospital, 40 Rue Worth, Suresnes, France. al.vallee@hopital-foch.com.ORCID https://orcid.org/0000-0001-9158-4467
Jean-Marc AyoubiDepartment of Obstetrics, Gynecology and Reproductive Medicine, Foch Hospital, Suresnes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a chronic gynecological disorder affecting up to 10% of women of reproductive age and is characterized by the presence of endometrial-like tissue outside the uterus. The condition is associated with chronic pelvic pain, dysmenorrhea, dyspareunia, and infertility, and remains difficult to diagnose at early stages. Recent evidence suggests that endometriosis shares genetic and molecular pathways with other chronic pain and inflammatory disorders. Identifying reliable biomarkers is therefore essential to improve risk stratification and support earlier evaluation. Multiple domains have emerged as candidate markers for risk stratification, including genetic and epigenetic alterations, dysmenorrhea, migraine, autoimmune and endocrine disorders, and stress and early-life adversity. These factors have been associated with disease initiation, lesion development, and symptom severity. Understanding their interactions could support multimodal risk stratification approaches and guide preventive strategies. This narrative review highlights the multifactorial nature of endometriosis and synthesizes current evidence on emerging predictive markers. Although progress has been made, large prospective studies are still needed to validate these markers and facilitate the development of targeted interventions.

Indexed as

EndometriosisBiomarkersFemaleHumansBiomarkersBiomarkersDiagnosisEndometriosisFertilityPrevention

Identifiers

PMID42406164
PMCPMC13616853

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.