Evidence map›Paper›PMID 42651062›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Machine Learning-Based Prediction of Fetal Macrosomia Using Maternal: A Pilot Study.

Tuğba Tahta, Zafer Bütün, Özer Çelik, Ece Akça Salik, Yeliz Kaya

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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

5 authors.

Tuğba TahtaMidwifery Department, Faculty of Health Sciences, Ankara Medipol University, Ankara 06050, Turkey.ORCID 0000-0003-0190-977X
Zafer BütünHoşnudiye Mah. Ayşen Sokak Dorya Rezidans, Ablok no:28/77, Eskişehir 26130, Turkey.ORCID 0000-0001-5297-4462
Özer ÇelikVocational School of Information Technologies, Anadolu University, Eskişehir 26470, Turkey.
Ece Akça SalikDepartment of Gynecology and Obstetrics, Eskisehir City Hospital, Eskişehir 26080, Turkey.ORCID 0000-0001-9993-3035
Yeliz KayaDepartment of Gynecology and Obstetrics Nursing, Faculty of Health Sciences, Eskişehir Osmangazi University, Eskişehir 26040, Turkey.ORCID 0000-0003-4277-3960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

early risk assessmentmachine learningmacrosomiaperinatal health

Identifiers

PMID42651062
PMCPMC13512259

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.