Evidence map›Paper›PMID 39802922›Full record

ArticleInternational journal of women's health2025

Association of Adverse Perinatal Outcomes with Blood Components Transfusion in Patients with Acute Fatty Liver of Pregnancy.

Xiyu Pan, Ran Chu, Xu Qiao, Xianru Zhang, Li Li, Wenxia Zhang

Abstract read
In one paragraph

Article in International journal of women's health, 2025. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Xiyu PanDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong Province, People's Republic of China.
Ran ChuDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, People's Republic of China.ORCID 0000-0002-1133-5186
Xu QiaoInstitute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong Province, People's Republic of China.
Xianru ZhangInstitute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong Province, People's Republic of China.
Li LiDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong Province, People's Republic of China.
Wenxia ZhangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the rare obstetric emergency with no specific treatments called acute fatty liver of pregnancy. The primary objective was to evaluate association of adverse perinatal outcomes with blood components transfusion. While the secondary objective focused on further establishing the predictive risk factors for adverse perinatal outcomes. Participants and Methods: This retrospective cohort study included patients, who diagnosed with acute fatty liver of pregnancy without hepatic/malignant diseases in Qilu Hospital of Shandong University over 12-year period (collected 2007-2019, aged 20-41years). Chi-square test was used to explore the relevance between blood transfusion therapy and adverse perinatal outcomes. Meanwhile, logistic regression analysis was performed to identify predictive risk factors. Results: Of 146 patients, 26 (26/146, 17.8%) received prenatal blood transfusions. These patients had reduced gestational ages and exhibited more severe clinical symptoms. The association between blood transfusion and adverse maternal outcomes yielded a Conclusion: Blood component transfusion may serve as a marker of disease severity. Prompt identification of patients with high-risk factors is crucial to improve maternal and fetal outcomes.

Indexed as

adverse maternal and fetal outcomesblood transfusion therapymaternal-fetal medicinepredictive risk factors

Identifiers

PMID39802922
PMCPMC11720634

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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.