Evidence map›Paper›PMID 37702555›Full record

ReviewThe Journal of international medical research2023

A case report of superficial siderosis of the central nervous system and literature review.

Jian Huang, Gaosheng Xie, Jianping Chen, Ying Huang

Open access · goldAbstract readReviewCase Reports
In one paragraph

Review in The Journal of international medical research, 2023. 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
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

4 authors at 3 institutions in 1 country.

Jian HuangDepartment of Neurology, the First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Gaosheng XieDepartment of Neurology, the First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Jianping ChenGanzhou People's Hospital, Jiangxi, China.
Ying HuangDepartment of Neurology, the First Affiliated Hospital of Gannan Medical University, Ganzhou, China.ORCID 0000-0002-4655-5162
First Affiliated Hospital of Gannan Medical University · CNGannan Medical University · CNGanzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Superficial siderosis of the central nervous system (SSCNS) is a rare disease characterized by iron deposition on the tissue surface of the middle axis system. We report the case of a man in his late 40 s who was admitted to the hospital with ataxia. A physical examination revealed cerebellar ataxia, sensorineural deafness, and bilateral pyramidal tract injury. Susceptibility-weighted magnetic resonance imaging showed linear hypointense signals on the surface of the cerebral hemispheres, sulcus gyrus, lateral ventricles, and cerebellum. The patient underwent treatment with deferiprone, mecobalamin, and vitamin B1, and the symptoms were not aggravated. The patient's daily living ability was near normal after 1 year of follow-up. A literature review indicated that most SSCNS patients present diverse clinical manifestations. Clinicians may consider SSCNS in patients with hearing impairment and gait ataxia, especially for those receiving anticoagulant therapy and with a history of brain injury or accident.

Indexed as

Brain InjuriesHearing Loss, SensorineuralSiderosisCell MembraneCentral Nervous SystemHumansMalecase reportcerebellar ataxiairon depositionsensorineural deafnessSuperficial siderosis of the central nervous systemsusceptibility-weighted imaging

Identifiers

PMID37702555
PMCPMC10501075
OpenAlexW4386704828

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.