Evidence map›Paper›PMID 39759338›Full record

ArticleHeliyon2024

Intracranial hemorrhage and additional anomalies detected on prenatal magnetic resonance imaging: A large, retrospective study in two tertiary medical institutions.

Hao Zhu, Tianping Wang, Yuanyuan Lu, Xiaowei Huang, Yu Bai, Guofu Zhang, He Zhang, Xuan Yin

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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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.

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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

8 authors.

Hao ZhuDepartment of Obstetrics, Obstetrics and Gynecology Hospital, Fudan University, PR China.
Tianping WangDepartment of Radiology, Obstetrics and Gynecology Hospital, Fudan University, PR China.
Yuanyuan LuDepartment of Radiology, Shanghai First Maternity and Infant Health Hospital, School of Medicine, Tongji University, PR China.
Xiaowei HuangDepartment of Ultrasound, Obstetrics and Gynecology Hospital, Fudan University, PR China.
Yu BaiCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, United States.
Guofu ZhangDepartment of Radiology, Obstetrics and Gynecology Hospital, Fudan University, PR China.
He ZhangDepartment of Radiology, Obstetrics and Gynecology Hospital, Fudan University, PR China.
Xuan YinDepartment of Radiology, Obstetrics and Gynecology Hospital, Fudan University, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To clarify the prenatal magnetic resonance (MR) imaging characteristics of fetal intracranial haemorrhages (ICHs) in a large cohort and correlate them with birth outcomes. Methods: We retrospectively reviewed MR images of fetuses with ICH on screening ultrasound (US) on picture archiving communication system (PACS) servers within a nearly ten-year period from two medical tertiary centres. The indications, main abnormal findings and coexistent anomalies were recorded by two experienced radiologists with census readings. Results: We recruited 126 cases (average gestational week, 28.0 ± 5.0 weeks) with prenatal MR imaging, including 116 singleton pregnancies and 10 monochromic twin pregnancies. Predominant coexistent anomalies were ventriculomegaly (35.7 %), holoprosencephaly or porencephaly (13.4 %) and enlarged posterior fossa/or posterior fossa cyst (8.7 %) in the lesion-based evaluation. The number of haemorrhagic lesions and the occurrence of the detected complications did not show a correlation with the size of the haematoma. The mass effect of ICH was more commonly observed in the fetus with large for gestational age (GA) than that with small for GA. Conclusions: Prenatal MR imaging could better show ICH morphology and associated abnormal findings. As a complementary tool of US, MR imaging could help with prenatal counselling and treatment selection after birth.

Indexed as

Fetal malformationFetusIntracranial hemorrhagesMagnetic resonance imaging

Identifiers

PMID39759338
PMCPMC11696780

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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.