Evidence map›Paper›PMID 41287954›Full record

Observational studyBirth (Berkeley, Calif.)2026

Three Methods of Fetal Weight Estimation Compared in Women With BMI ≥ 35 kg/m

Inshirah Sgayer, Yara N Francis, Nadine Ashkar-Majadla, Ruba Tuma, Lior Lowenstein, Maya Frank Wolf, Marwan Odeh

Registry-linked trialAbstract readObservational StudyComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Birth (Berkeley, Calif.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05478798 (Comparison of Three Methods of Fetal Weight Estimation in Patients With Severe and Morbid Obesity), which is not on this 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.

NCT05478798 unknown statusnot on this map

Comparison of Three Methods of Fetal Weight Estimation in Patients With Severe and Morbid Obesity

TypeobservationalSponsorWestern Galilee Hospital-NahariyaRan2022 to 2023Enrolled100ConditionsFetal Weight, Obesity, Morbid, Pregnancy RelatedArmsultrasonographic fetal weight estimation, clinical fetal weight estimation, maternal subjective fetal weight estimation
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
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.

Inshirah SgayerDepartment of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Israel.ORCID 0000-0002-5270-8436
Yara N FrancisDepartment of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Israel.
Nadine Ashkar-MajadlaDepartment of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Israel.
Ruba TumaDepartment of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Israel.
Lior LowensteinDepartment of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Israel.
Maya Frank WolfDepartment of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Israel.ORCID 0000-0002-2060-3234
Marwan OdehDepartment of Obstetrics and Gynecology, Galilee Medical Center, Nahariya, Israel.ORCID 0000-0002-1616-1381

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare sonographic, maternal, and clinical estimations of fetal weight in women with severe and morbid obesity (BMI ≥ 35 kg/m

methodsWe conducted a prospective study on multiparous women with singleton term pregnancies. We analyzed absolute error, absolute percentage error, and rates of error > 10%, > 15%, and > 20%; and error > 500 g for each method.

resultsOur study included 103 women with a median pre-delivery BMI of 37.9 (35.0-50.4) kg/m

conclusionIn women with a BMI ≥ 35 kg/m

trial registrationClinicalTrials.gov identifier: NCT05478798.

Indexed as

Body Mass IndexFetal WeightObesity, MorbidPregnancy ComplicationsUltrasonography, PrenatalAdultFemaleHumansPregnancyProspective Studiesclinical estimationmaternal estimationmaternal obesitysonographic fetal weight estimation

Identifiers

PMID41287954
PMCPMC13471804

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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.