Evidence map›Paper›PMID 39088222›Full record

ArticleJAMA2024

Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings.

Alexis C Gimovsky, Ahizechukwu C Eke, Methodius G Tuuli

Abstract readEditorialComment
In one paragraph

Article in JAMA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low- and middle-income countries and remote areas.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Alexis C GimovskyDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Women & Infants Hospital of Rhode Island, Alpert Medical School of Brown University, Providence, Rhode Island.
Ahizechukwu C EkeDivision of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Methodius G TuuliDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Women & Infants Hospital of Rhode Island, Alpert Medical School of Brown University, Providence, Rhode Island.

Funding

Integrated proteomic and metabolomic biomarker profiling for understanding metabolic syndrome in pregnant women living with HIV on Tenofovir Disoproxil Fumarate/Lamivudine/Dolutegravir (TLD)DP1HD115433 · NICHD · JOHNS HOPKINS UNIVERSITY · PI AHIZECHUKWU C. EKE · 2024 to 2026
$1.7M
Understanding Medication Adherence Benchmarks, Safety and Pharmacometrics of Novel Antiretrovirals in Pregnant Women Living with HIV.K23HD104517 · NICHD · JOHNS HOPKINS UNIVERSITY · PI EKE, AHIZECHUKWU C. · 2020 to 2024
$857k
NICHD NIH HHS DP1 HD115433NICHD NIH HHS K23 HD104517
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligencePoint-of-Care SystemsUltrasonography, PrenatalDeveloping CountriesFemaleGestational AgeHumansPregnancyResource-Limited Settings

Identifiers

PMID39088222
PMCPMC11863673

What OpenQuestion holds

Textmetadata
LicenceTDM
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.