Urinary biomarkers for the non-invasive diagnosis of endometriosis: a systematic literature review

Wioletta Dolińska, Lara Othman, Guinn, Barbara
2021 · doi:10.5281/zenodo.5651229 · W4393709739
Systematic review / meta-analysis OA: green CC0
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This systematic literature review evaluated the sensitivity and specificity of urinary biomarkers for the non-invasive detection of endometriosis using MeSH terms.

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This systematic literature review investigated the potential of urinary biomarkers for the non-invasive detection of endometriosis by searching databases until August 2021. The study focused on determining whether specific urine-based indicators possess sufficient sensitivity and specificity to serve as reliable diagnostic tools. The dataset documents the search strategy using MeSH terms linking endometriosis and urine, though it does not present primary clinical trial results or a meta-analysis of efficacy in this brief description. This paper is centrally about endometriosis — specifically evaluating non-invasive diagnostic methods via urinary biomarkers.

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Abstract

Raw dataset from a systematic literature review performed until August 2021 in which the research question was 'Are there urine biomarkers sensitive and specific enough for endometriosis detection?' and the Medical Subject Heading (MeSH) terms were (endometrios*) AND (urin*).
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Published November 9, 2021 | Version v1 Dataset Open Urinary biomarkers for the non-invasive diagnosis of endometriosis: a systematic literature review Authors/Creators - 1. University of Hull - 2. Hull York Medical School Description Raw dataset from a systematic literature review performed until August 2021 in which the research question was 'Are there urine biomarkers sensitive and specific enough for endometriosis detection?' and the Medical Subject Heading (MeSH) terms were (endometrios*) AND (urin*). Files Files (605.5 kB) | Name | Size | Download all | |---|---|---| | md5:20b2a09dbc011eb4be058f57812512a9 | 605.5 kB | Download |

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endometriosis

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last seen: 2026-06-10T17:14:06.276822+00:00
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