Evidence map›Paper›PMID 41682806›Full record

ArticleJournal of clinical medicine2026

Machine Learning Prediction of Intrapartum Cesarean Delivery in Women with Obesity.

Daniel Gabbai, Itamar Gilboa, Roza Berkovitz Shperling, Lee Reicher, Emmanuel Attali, Yariv Yogev, Anat Lavie

Abstract read
In one paragraph

Article in Journal of clinical medicine, 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

7 authors.

Daniel GabbaiDepartment of Obstetrics and Gynecology, Lis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, Weizman 6, Tel Aviv 6423906, Israel.ORCID 0009-0001-9736-0517
Itamar GilboaDepartment of Obstetrics and Gynecology, Lis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, Weizman 6, Tel Aviv 6423906, Israel.ORCID 0000-0002-0941-2074
Roza Berkovitz ShperlingDepartment of Obstetrics and Gynecology, Lis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, Weizman 6, Tel Aviv 6423906, Israel.
Lee ReicherDepartment of Obstetrics and Gynecology, Lis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, Weizman 6, Tel Aviv 6423906, Israel.ORCID 0000-0001-5760-9229
Emmanuel AttaliDepartment of Obstetrics and Gynecology, Lis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, Weizman 6, Tel Aviv 6423906, Israel.ORCID 0000-0002-4236-4836
Yariv YogevDepartment of Obstetrics and Gynecology, Lis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, Weizman 6, Tel Aviv 6423906, Israel.
Anat LavieDepartment of Obstetrics and Gynecology, Lis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, Weizman 6, Tel Aviv 6423906, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cesarean deliveryintrapartummachine learningobesityprediction modelSHAPXGBoost

Identifiers

PMID41682806
PMCPMC12898038

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.