Evidence map›Paper›PMID 39631774›Full record

ReviewAmerican journal of perinatology2025

Simplifying Management of Cholestasis: A Proposal for a Classification System.

Minhazur Sarker, Gladys A Ramos, Lauren Ferrara, Cynthia Gyamfi-Bannerman

Abstract readReview
In one paragraph

Review in American journal of perinatology, 2025. 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

4 authors.

Minhazur SarkerDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California.ORCID 0000-0002-2677-3023
Gladys A RamosDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California.
Lauren FerraraDepartment of Obstetrics, Gynecology and Reproductive Science, Mount Sinai Health System and Icahn School of Medicine at Mount Sinai, New York, New York.
Cynthia Gyamfi-BannermanDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California.

Funding

TRAINING IN REPRODUCTIVE SCIENCEST32HD007203 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAMELA L MELLON · 1988 to 2026
$4.8M
NICHD NIH HHS T32 HD007203
6 · The paper itself

Abstract

Given the stillbirth risk associated with intrahepatic cholestasis of pregnancy, management to reduce this adverse outcome has primarily involved planned delivery as early as 36 weeks gestation. While earlier planned delivery has decreased the incidence of stillbirth in this population, recently, there have been multiple published retrospective studies to better correlate the association of adverse outcomes with cholestasis severity. Despite these new data, the uptake of individualized management for cholestasis has been varied from provider to provider. In this opinion, we briefly review the current literature and evidence regarding cholestasis and adverse outcomes and propose a cholestasis classification system with subsequent algorithms for management. · Recently, multiple studies have further characterized adverse outcomes with cholestasis.. · Incorporation of severity-associated management into clinical practice is variable.. · A cholestasis classification system will simplify and streamline management..

Indexed as

Cholestasis, IntrahepaticPregnancy ComplicationsStillbirthAlgorithmsFemaleHumansPregnancySeverity of Illness Index

Identifiers

PMID39631774
PMCPMC12137020

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.