Evidence map›Paper›PMID 39712507›Full record

ArticleJournal of medical biochemistry2024

Relationship between HBV RNA level and pregnancy outcomes among hepatitis B carriers.

Manman Zhang, Xin Liao, Heng Wang, Huan Wu, Baofang Zhang

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2024. 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. Review
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

5 authors.

Manman ZhangGuiyang Public Health Clinical Center, Department of Digestive, Guiyang, China.
Xin LiaoGuizhou Medical University, Guiyang, China.
Heng WangGuiyang Public Health Clinical Center, Department of Endoscopy, Guiyang, China.
Huan WuGuizhou Medical University, Affiliated Hospital, Department of Infectious Diseases, Guiyang, China.
Baofang ZhangGuizhou Medical University, Affiliated Hospital, Department of Infectious Diseases, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to investigate the relationship between hepatitis B virus (HBV) RNA level and pregnancy outcomes among hepatitis B carriers. Methods: This study collected pregnant women who attended the Affiliated Hospital of Guizhou Medical University (Guizhou, China) from June 2020 to June 2023. The levels of HBV DNA, HBV RNA, and HBeAg status in HBV carriers were detected. Pregnancy outcomes including intrahepatic cholestasis of pregnancy (ICP), gestational hypertension (GH), pre-eclampsia, gestational diabetes mellitus (GDM), preterm prelabour rupture of membranes (PPROM), mode of delivery, preterm birth, low birth weight (LBW) and macrosomia. Results: A total of 562 pregnant women were collected, 203 (36.12%) were infected with HBV. Compared with HBsAg negative, HBsAg positive pregnant women had a higher risk of ICP. There were no significant differences in the rates of GDM, GH, pre-eclampsia, PPROM, preterm birth, LBW, macrosomia, and mode of delivery among women in the two groups. Multivariate logistic regression analysis showed that maternal HBV RNA level (OR = 3.814, 95% CI: 2.036~7.142, P< 0.001) was an independent risk factor for ICP in HBsAg-positive pregnant women. The receiver operating characteristics (ROC) curve revealed that the areas under the curve of HBV RNA for prediction of ICP was 0.8652(95% confidence interval 0.7636-0.9669, P< 0.001). Conclusions: The HBV RNA level has a significant negative impact on pregnancy outcomes. It may serve as an indicator to guide the prevention of ICP and improve maternal health.

Indexed as

HBV RNAhepatitis B virusintrahepatic cholestasis of pregnancypregnancy outcomesserum marker

Identifiers

PMID39712507
PMCPMC11662952

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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.