Evidence map›Paper›PMID 41374393›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Urine and Serum miRNA Signatures for the Non-Invasive Diagnosis of Adenomyosis: A Machine Learning-Based Pilot Study.

Tomas Kupec, Julia Wittenborn, Chao-Chung Kuo, Rebecca Senger, Philipp Meyer-Wilmes, Laila Najjari, Elmar Stickeler, Jochen Maurer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Tomas KupecClinic for Gynecology and Obstetrics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0003-0629-8576
Julia WittenbornClinic for Gynecology and Obstetrics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0002-1841-4207
Chao-Chung KuoGenomics Facility, Interdisciplinary Center for Clinical Research (IZKF), University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0001-8879-4754
Rebecca SengerClinic for Gynecology and Obstetrics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.
Philipp Meyer-WilmesClinic for Gynecology and Obstetrics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0002-9853-0004
Laila NajjariClinic for Gynecology and Obstetrics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0002-2102-623X
Elmar StickelerClinic for Gynecology and Obstetrics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0002-9715-7260
Jochen MaurerClinic for Gynecology and Obstetrics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0003-3962-3128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adenomyosisbiomarkersendometriosisliquid biopsymachine learningnon-invasive diagnosisserum miRNAurine miRNA

Identifiers

PMID41374393
PMCPMC12691541

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.