Evidence map›Paper›PMID 35711739›Full record

ArticleRadiology case reports2022

Application of magnetic resonance neurography in neonatal brachial plexus injury: A case report and literature review.

Lili Zang, Tong Yu, Xiaomin Duan, Xiaoyan Zhang, Jiexin Zhang, Jie Wang

Erratum issuedOpen access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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, top 87% of its field
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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Lili ZangDepartment of Radiology, Baoding Children's Hospital, Baoding 071051, China.
Tong YuDepartment of Radiology, Beijing Children's Hospital Capital Medical University, National Center for Children's Health, Nan Lishi Road 56#, West District, Beijing 100045, China.
Xiaomin DuanDepartment of Radiology, Beijing Children's Hospital Capital Medical University, National Center for Children's Health, Nan Lishi Road 56#, West District, Beijing 100045, China.
Xiaoyan ZhangDepartment of Radiology, Baoding Children's Hospital, Baoding 071051, China.
Jiexin ZhangDepartment of Radiology, Baoding Children's Hospital, Baoding 071051, China.
Jie WangDepartment of Radiology, Baoding Children's Hospital, Baoding 071051, China.
Baoding People's Hospital · CNBeijing Children’s Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal obstetric brachial plexus palsy is common in newborns with fetal macrosomia, especially those who are delivered vaginally with shoulder dystocia or breech delivery. The anatomical structure of brachial plexus in newborns is thin, and it is neither collinear nor coplanar in space; The location, the type and degree of neonatal brachial plexus injury need to be comprehensively judged by clinical history, neurological and imaging examination. Conventional MR imaging is not sufficient to diagnose brachial plexus injury. In this case report, we describe the clinical and imaging data of a newborn with brachial plexus injury diagnosed by the fat-suppressed T2-weighted sequence and MR myelography and confirmed by surgery. In addition, we review the related literature in an attempt to provide a better understanding of the principles and characteristics of neonatal brachial plexus injury diagnosed by magnetic resonance neurography.

Indexed as

Brachial plexus injuryMagnetic resonance neurographyNeonatal

Identifiers

PMID35711739
PMCPMC9194762
OpenAlexW4283080784

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.