Evidence map›Paper›PMID 40852375›Full record

SynthesisPeerJ2025

Impact of paternal hepatitis B on pregnancy outcomes in couples undergoing assisted reproductive technology treatment: a systematic review and meta-analysis.

Juanting Gao, Qiyin Dong, Liping Shen, Xiuping Zhu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PeerJ, 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.

Juanting GaoDepartment of Emergency, Huzhou Maternity & Child Health Care Hospital, Huzhou, Zhejiang, China.
Qiyin DongDepartment of Reproductive Center, Huzhou Maternity & Child Health Care Hospital, Huzhou, Zhejiang, China.
Liping ShenDepartment of Emergency, Huzhou Maternity & Child Health Care Hospital, Huzhou, Zhejiang, China.
Xiuping ZhuDepartment of Outpatient, Huzhou Maternity & Child Health Care Hospital, Huzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study intends to evaluate the influence of hepatitis B virus (HBV) infection on clinical pregnancy rate (CPR) and live birth rate (LBR) per woman and cycle in couples who achieved pregnancy through assisted reproductive technology (ART). Methods: PubMed, Embase, CNKI, Scopus, Web of Science, and Wangfang databases were comprehensively searched for articles reporting data on pregnancies achieved through ATR and providing information on the paternal HBV status and CPR and LBR. A random-effects model was used for the meta-analyses to pool odds ratios (OR) with corresponding confidence intervals (CI). Subgroup analyses were done based on the matching status. Results: The analysis included 10 studies (4,848 participants) for CPR per woman, 10 studies (28,951 participants) for CPR per cycle, four studies (2,327 participants) for LBR per woman, and seven studies (26,324 participants) for LBR per cycle. The analysis showed no considerable association between the HBV status and the CPR or LBR, with the pooled OR of 1.015 (95% CI [0.860-1.199], Conclusions: Paternal HBV infection does not significantly affect clinical pregnancy or live birth rates in ART pregnancies. Our findings inform clinical practice and provide reassurance to couples undergoing ART that paternal HBV infection should not be a major concern in terms of pregnancy outcomes.

Indexed as

FathersHepatitis BPregnancy OutcomeReproductive Techniques, AssistedFemaleHumansLive BirthMalePregnancyPregnancy RateAssisted reproductive technologyHepatitis BMeta-analysisPaternal infection

Identifiers

PMID40852375
PMCPMC12369629

What OpenQuestion holds

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Registered trials

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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.