Evidence map›Paper›PMID 40507397›Full record

ArticleJournal of clinical medicine2025

Ultrasound Diagnosis of Pelvic Organ Prolapse Using Artificial Intelligence.

José Antonio García-Mejido, Juan Galán-Paez, David Solis-Martín, Fernando Fernández-Palacín, Ana Fernández-Palacín, José Antonio Sainz-Bueno

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. [Deep learning models based on fused ultrasound images for the assessment of cystocele in women].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  4. Article
  5. 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

6 authors.

José Antonio García-MejidoDepartment of Surgery, Faculty of Medicine, University of Seville, 41009 Seville, Spain.ORCID 0000-0002-3079-5583
Juan Galán-PaezDepartment of Computer Science and Artificial Intelligence, Faculty of Computer Engineering, University of Seville, 41080 Seville, Spain.ORCID 0000-0002-6622-271X
David Solis-MartínDepartment of Computer Science and Artificial Intelligence, Faculty of Computer Engineering, University of Seville, 41080 Seville, Spain.ORCID 0000-0002-4625-4554
Fernando Fernández-PalacínDepartment of Statistics and Operational Research, University of Cadiz, 11510 Cadiz, Spain.ORCID 0000-0002-3525-2924
Ana Fernández-PalacínBiostatistics Unit, Department of Preventive Medicine and Public Health, University of Seville, 41009 Seville, Spain.ORCID 0000-0002-5823-5705
José Antonio Sainz-BuenoDepartment of Surgery, Faculty of Medicine, University of Seville, 41009 Seville, Spain.ORCID 0000-0002-9571-3219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencegradient boostingmachine learningpelvic floorpelvic organ prolapseultrasonographyXGBoost

Identifiers

PMID40507397
PMCPMC12156252

What OpenQuestion holds

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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.