Evidence map›Paper›PMID 25574211›Full record

ArticleExperimental and therapeutic medicine2015

Myoclonic epilepsy with ragged-red fibers: A case report.

Xue-Fan Yu, Jing Miao, Yan Li, Xin-Mei Jiang, Yu-Gang Ma, Hong-Mei Meng

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2015. 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, top 88% 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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Accidental Falls in Patients with Hyperkinetic Movement Disorders: A Systematic Review.Tremor and other hyperkinetic movements (New York, N.Y.) · 2022
    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 at 2 institutions in 1 country.

Xue-Fan YuDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Jing MiaoDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Yan LiDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Xin-Mei JiangDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Yu-Gang MaDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Hong-Mei MengDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
First Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myoclonic epilepsy with ragged-red fibers is a maternally inherited disease that is characterized by myoclonic epilepsy, cerebellar ataxia and progressive muscular weakness. The present study reports the case of a 25-year-old male who presented with paroxysmal left upper limb tics and weakness for two years. Neurological examination revealed intact cranial nerves, decreased deep tendon reflexes and decreased sensation of touch, pain and vibration. The gait of the patient was broad and he was unable to walk in a straight line. Local cortical atrophy was also observed in the left temporal-occipital cortex on a magnetic resonance imaging scan. The muscle biopsy revealed ragged-red fibers. Therefore, the present study hypothesized that imaging observations and follow-up examinations are important in patients with myoclonic epilepsy.

Indexed as

epilepsymitochondrial encephalomyopathymyoclonia

Identifiers

PMID25574211
PMCPMC4280940
OpenAlexW2054350996

What OpenQuestion holds

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LicenceCC BY
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.