Evidence map›Paper›PMID 34448048›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2022

Linear scleroderma in a child with central nervous system involvement: clinical and radiological features.

Fangjie Shen, Gelei Xiao, Ruoping Chen, Xiangying Li, Yueniu Zhu, Xiaoqiang Wang

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In one paragraph

Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Fangjie Shen *Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.
Gelei Xiao *Department of Neurosurgery, Xiangya Hospital, Central South University, Hunan, 410008, Changsha, China.
Ruoping ChenDepartment of Pediatric Neurosurgery, Xinhua Hospital Affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.
Xiangying LiDepartment of Pediatric Neurosurgery, Xinhua Hospital Affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.
Yueniu ZhuDepartment of Pediatric Critical Care Medicine, Xinhua Hospital Affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China. zhuyueniu@xinhuamed.com.cn.
Xiaoqiang WangDepartment of Pediatric Neurosurgery, Xinhua Hospital Affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China. wangxiaoqiang@xinhuamed.com.cn.ORCID 0000-0003-1825-0895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linear scleroderma is the most common type of localized scleroderma in children. Lesions rarely involve areas other than the skin, and nervous system involvement is even rare. We reported a case of a 6-year-old girl who was admitted to the hospital with recurrent seizures for 4 weeks. Before that, she had left frontal plaques for more than 1 year. Radiological imaging of the brain showed multiple abnormal lesions and skin biopsy of the plaques indicated scleroderma. After drug therapy, the girl had no recurrence of epilepsy, and no obvious abnormalities were found in the reexamination of neuroimaging. We performed further radiological examination on this patient and reviewed the literatures for this rare case.

Indexed as

Scleroderma, LocalizedBrainChildFemaleHumansNeuroimagingRadiographySkinCentral nervous systemChildLinear sclerodermaRadiological

Identifiers

What OpenQuestion holds

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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.