Progress on predictive factors for the diagnosis of endometriosis

In: Chin J Reprod Contracep · 2018 · vol. 38(9) , pp. 779–783 · doi:10.3760/cma.j.issn.2096-2916.2018.09.014 · W3030326866
article OA: closed CC0
View on OpenAlex View at publisher
AI-generated summary by claude@2026-06, 2026-06-12

This review examines recent advancements in clinical manifestations, serum markers, and predictive models to aid in the earlier diagnosis of endometriosis.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

Endometriosis (EMS) is a common disease affecting women of reproductive age. It may cause pelvic pain, infertility and decreased quality of life. Since it is difficult to diagnosis at early onset, the average time delayed from onset of symptoms until diagnosis of EMS is 3.3-12.1 years. The poor understanding of its pathogenetic mechanism and the scarcity of sensitive blood biomarkers are associated with this delay of diagnosis for EMS. In recent years, predictive models based on pain, infertility and operation history, etc., boost up the progress in this field. This article reviews the latest progress on the clinical manifestations of EMS, serum markers and predictive models, in order to provide some new ideas and new information to help early diagnosis of EMS. Key words: Endometriosis (EMS); Delayed diagnosis; Clinical manifestation; Blood biomarker; Predictive model

My notes (saved in your browser only)

Condition tags

endometriosisinfertility

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0 · commercial use OK