Evidence map›Paper›PMID 40726422›Full record

SynthesisAnnals of medicine2025

Foetal vitelline vein: a systematic review of the literature.

Ruolin Jia, Xiaowei Yu, Rong Jiang, Jiaomei Zhang, Meiling Che

Abstract readSystematic Review
In one paragraph

Synthesis in Annals of medicine, 2025. 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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0cells of the map it votes in
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

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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.

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

5 authors.

Ruolin JiaDepartment of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China.ORCID 0000-0003-3121-5680
Xiaowei YuDepartment of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China.
Rong JiangDepartment of Anesthesiology, Changchun Central Hospital, Changchun, Jilin, China.
Jiaomei ZhangDepartment of Obstetrics, Obstetrics and Gynecology Center, The First Hospital of Jilin University, Changchun, China.
Meiling CheDepartment of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo summarize and analyse the ultrasound image characteristics and prognosis of persistent vitelline vein.

methodsThe keywords 'vitelline vein' or 'portal vein tumour' were used to search the China Knowledge Network (CNKI), Wipo database, Wanfang database, and Chinese Medical Journal Full Text Database. Pubmed, Embase, and Uptodate databases were searched with the keywords 'vitelline vein' or 'portal vein tumour'. Literature from the above databases up to October 2024 was searched. We summarized the retrieved case data and analysed the pathogenesis, ultrasonographic manifestations, and follow-up prognosis of persistent vitelline veins.

resultsSeventeen relevant English-language publications were retrieved, all in case reports involving 24 patients. Descriptive analysis was used to compare the included cases, and meta-analysis was inappropriate because of the great variation in the quality of the studies.

conclusionPersistent vitelline veins are uncommon, with a low prenatal diagnosis rate of 29.2% of available cases, and are mostly diagnosed postnatally. The diagnosis can be made in the prenatal period by a detailed examination of the portal venous system, which is clinically differentiated most notably from umbilical vein dilatation. Once the diagnosis of persistent vitelline veins is made, and it should be closely followed up in the prenatal period. Patient follow-up should be done by a multidisciplinary team and always in preparation for postpartum surgery to prevent acute severe postpartum complications related to thrombosis.

Indexed as

FetusPortal VeinFemaleHumansPregnancyPrognosisUltrasonography, PrenatalReviewUltrasoundVitelline vein

Identifiers

PMID40726422
PMCPMC12308883

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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.