Evidence map›Paper›PMID 39444782›Full record

ArticleJournal of rehabilitation medicine. Clinical communications2024

INPATIENT REHABILITATION AND FUNCTIONAL OUTCOME OF A CASE OF ANTI-SRP IMMUNE-MEDIATED NECROTIZING MYOPATHY.

Nicole Chen, Khin Yamin Thein, San San Tay

Abstract readCase Reports
In one paragraph

Article in Journal of rehabilitation medicine. Clinical communications, 2024. 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
–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. 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

3 authors.

Nicole ChenFrom the Department of Rehabilitation Medicine, Changi General Hospital, Singapore.
Khin Yamin TheinFrom the Department of Rehabilitation Medicine, Changi General Hospital, Singapore.
San San TayFrom the Department of Rehabilitation Medicine, Changi General Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Immune-mediated necrotizing myopathy associated with anti-signal recognition particle antibodies is a rare and debilitating condition characterized by significant muscle weakness and resultant disability. Although there are existing recommendations for physical therapy and exercise for patients with myositis in current literature, effective rehabilitation guidelines for such patients have not been fully established. Case report: A 42-year-old woman presented with subacute onset proximal upper and lower limb weakness and dysphagia. She was diagnosed with anti-SRP immune-mediated necrotizing myopathy and was promptly initiated on aggressive immunosuppressive therapy. Despite this, she had significant impairment in function, including the inability to ambulate. Intervention and outcome: The patient underwent an intensive structured inpatient rehabilitation programme consisting of strength and endurance exercises combined with functional exercises and robot-assisted gait training. This resulted in major improvements in objective outcomes including Functional Independence Measure, Modified Barthel Index, 10-metre-walk test and 6-minute-walk test scores. The programme was well tolerated by the patient with no adverse events. Conclusion: This case details the crucial role of a structured rehabilitation programme in the holistic management of a patient with anti-SRP immune-mediated necrotizing myopathy. It also highlights the use of robotics in gait training, resulting in successful functional outcomes for the patient.

Indexed as

autoimmune diseasemyopathyneurologicneurorehabilitationrehabilitation outcomerobotics

Identifiers

PMID39444782
PMCPMC11497626

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.