Evidence map›Paper›PMID 35319158›Full record

SynthesisBJOG : an international journal of obstetrics and gynaecology2022

Pregnancy in women with liver cirrhosis is associated with increased risk for complications: A systematic review and meta-analysis of the literature.

Laurine L van der Slink, Irma Scholten, Faridi S van Etten-Jamaludin, Robert B Takkenberg, Rebecca C Painter

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BJOG : an international journal of obstetrics and gynaecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. FIGO guideline on liver disease and pregnancy.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Preexisting Liver Disease and Pregnancy: Optimizing Care to Optimize Outcomes.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Cirrhosis in pregnancy.Clinical liver disease · 2023
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Laurine L van der SlinkDepartment of Obstetrics and Gynaecology, Amsterdam Reproduction and Development, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Irma ScholtenDepartment of Obstetrics and Gynaecology, Deventer Ziekenhuis, Deventer, the Netherlands.
Faridi S van Etten-JamaludinMedical Library Academic Medical Centre, Amsterdam UMC, University of Amsterdam, Research Support, Amsterdam, the Netherlands.
Robert B TakkenbergDepartment of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Rebecca C PainterDepartment of Obstetrics and Gynaecology, Amsterdam Reproduction and Development, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
University of Amsterdam · NLAmsterdam Neuroscience · NLDeventer Ziekenhuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy and liver cirrhosis is a rare but increasing combination. Liver cirrhosis can raise the chance of maternal and fetal mortality and morbidity, although the exact risks remain unclear.

objectiveTo provide a systematic literature review and meta-analysis on maternal, fetal and obstetric complications among pregnant women with liver cirrhosis. SEARCH STRATEGY: We performed a systematic literature search in the databases PubMed/MEDLINE and EMBASE (Ovid) from inception through 25 January 2021. SELECTION CRITERIA: Studies including pregnancies with liver cirrhosis and controls were eligible. DATA COLLECTION AND ANALYSIS: Two reviewers independently evaluated study eligibility. We used the random effects model for meta-analysis. MAIN

resultsOur search yielded 3118 unique papers. We included 11 studies, including 2912 pregnancies in women with cirrhosis from 1982-2020. Seven studies were eligible for inclusion in the meta-analysis. The overall maternal mortality rate was 0.89%. Maternal mortality and variceal haemorrhage were lower in recent than in older studies. Most cases of maternal mortality due to variceal haemorrhage (70%) occurred during vaginal delivery. Pregnant women with liver cirrhosis had a higher chance of preterm delivery (OR 6.7, 95% CI 5.1-9.1), caesarean section (OR 2.6, 95% CI 1.7-3.9), pre-eclampsia (OR 3.8, 95% CI 2.2-6.5) and small-for-gestational-age neonates (OR 2.6, 95% CI 1.6-4.2) compared with the general obstetric population. Subgroup analyses could not be conducted.

conclusionsLiver cirrhosis in pregnant women is associated with increases in maternal mortality and obstetric and fetal complications. Large international prospective studies are needed to identify risk factors for unfavourable outcome. TWEETABLE ABSTRACT: Systematic review and meta-analysis: higher risks that pregnant women with liver cirrhosis face are quantified.

Indexed as

Cesarean SectionEsophageal and Gastric VaricesAgedDelivery, ObstetricFemaleGastrointestinal HemorrhageHumansInfant, NewbornLiver CirrhosisPregnancyPregnancy Outcomecaesarean sectionliver cirrhosismeta-analysismortalitypre-eclampsiapregnancypreterm deliveryvariceal haemorrhage

Identifiers

PMID35319158
PMCPMC9546282
OpenAlexW4221112511

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.