Evidence map›Paper›PMID 39773661›Full record

ReviewCurrent opinion in obstetrics & gynecology2025

Contemporary uses of "lethal" or "life limiting" terminology in perinatal research.

Luke A Gatta, Allison M McCarthy, Sarah S Osmundson

Abstract readReview
In one paragraph

Review in Current opinion in obstetrics & gynecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

1 citing paper in PubMed.

  1. 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

3 authors.

Luke A GattaDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University School of Medicine, Medical Center North.
Allison M McCarthyCenter for Biomedical Ethics and Society, Vanderbilt University School of Medicine.
Sarah S OsmundsonDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University School of Medicine, Medical Center North.

Funding

Reducing Unused Prescribed Opioids After Cesarean BirthK23DA047476 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OSMUNDSON, SARAH SCHEIDERICH · 2019 to 2023
$859k
NIDA NIH HHS K23 DA047476
6 · The paper itself

Abstract

purpose of reviewA life-limiting fetal diagnosis (LLD) refers to a medical condition identified during pregnancy that is expected to lead to stillbirth, preclude ex utero survival, or significantly reduce neonatal life expectancy. The terms 'lethal' or 'life-limiting' are used to prognosticate early death for various anatomic or physiologic causes, although the expected timeframe is nonspecific. The purpose of this manuscript is to review how the terms 'lethal' or 'life limiting' are used in contemporary perinatal research. RECENT

findingsDepending on the study design, 'life-limiting' is defined either prior to data analysis (such as prospective cohort studies), or after outcomes are assessed (such as case series). When 'life-limiting' is defined prior to data analysis, study-specific specific definitions may include timeframes from birth to death, probability of neonatal mortality, or a list of diagnoses based off billing codes. SUMMARY: Professional societies have guidelines to standardize the reporting of vital statistics, including early death. While these fall short of defining LLDs comprehensively, they present an opportunity for more specific prognostication following prenatal diagnosis, which may improve research standardization to facilitate a clearer understanding of LLDs in clinical practice.

Indexed as

Biomedical ResearchPrenatal DiagnosisStillbirthTerminology as TopicFemaleHumansInfant, NewbornPregnancyPrognosis

Identifiers

PMID39773661
PMCPMC11867853

What Socratic 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 Socratic graph.