Evidence map›Paper›PMID 28825589›Full record

SynthesisJournal of clinical research in pediatric endocrinology2018

Effect of Intrahepatic Cholestasis of Pregnancy on Neonatal Birth Weight: A Meta-Analysis.

Li Li, Yuan Hua Chen, Yuan Yuan Yang, Lin Cong

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of clinical research in pediatric endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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

9 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Li LiFirst Affiliated Hospital of Anhui Medical University, Department of Obstetrics and Gynecology, Hefei, China.
Yuan Hua ChenAnhui Medical University, Department of Histology and Embryology, Hefei, China.
Yuan Yuan YangFirst Affiliated Hospital of Anhui Medical University, Department of Obstetrics and Gynecology, Hefei, China.
Lin CongFirst Affiliated Hospital of Anhui Medical University, Department of Obstetrics and Gynecology, Hefei, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the effect of intrahepatic cholestasis of pregnancy (ICP) on neonatal birth weight.

methodsPotential articles were identified by searching PubMed and Web of Science databases on April 30th, 2017. Using the Mantel-Haenszel random-effects or fixed-effects model, outcomes were summarized through weighted mean difference (WMD) and 95% confidence intervals (CI). Potential publication bias was tested using a funnel plot and the methods of Egger's regression and Begg's test.

resultsA total of eight studies were included in our meta-analysis. Six studies reported data on neonatal birth weight in ICP and control pregnancies. Pooled data from the six studies showed that the birth weight in the ICP group was significantly lighter than in the control group. The overall pooled WMD was -175 g (95% CI: -301, -48). Meanwhile, pooled data from the other two studies indicated that the birth weight in the late-onset ICP group was heavier than in the early-onset ICP group (WMD: 267 g, 95% CI: 168, 366).

conclusionNeonatal birth weights in ICP pregnancies were lower than in normal pregnancies. Furthermore, early-onset ICP is associated with a lower birth weight than late-onset ICP.

Indexed as

Birth WeightCholestasis, IntrahepaticPregnancy ComplicationsFemaleHumansInfant, NewbornPregnancybirth weight meta-analysis.Intrahepatic cholestasispregnancy

Identifiers

PMID28825589
PMCPMC5838371
OpenAlexW2748574331

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.