Evidence map›Paper›PMID 35860711›Full record

ArticleJournal of acute medicine2022

Report of a Patient With Anti-Jo-1 Syndrome With Loss of Consciousness.

Chun Chen, Yu-Jang Su, Chiong-Hee Wong

Open access · greenAbstract read
In one paragraph

Article in Journal of acute medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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 86% 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

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 at 1 institution in 1 country.

Chun ChenMackay Memorial Hospital Department of Emergency Medicine Taipei Taiwan.
Yu-Jang SuMackay Memorial Hospital Department of Emergency Medicine Taipei Taiwan.
Chiong-Hee WongMackay Memorial Hospital Department of Emergency Medicine Taipei Taiwan.
Mackay Junior College of Medicine, Nursing and Management · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 51-year-old febrile woman presented to the emergency department because of loss of consciousness while worshipping at a temple. She experienced muscle weakness and blurred vision before fainting. She also felt pain in her left shoulder and suffered from dry cough and shortness of breath during the previous week. The chest radiograph (CXR) showed bilateral reticular infiltration, indicating interstitial lung disease (ILD), and chest computed tomography revealed reticular, nodular, and reticulonodular patterns of infiltration that were compatible with ILD. Blood tests showed a creatinine kinase level of 3,307 IU/L and an Anti-Jo-1 autoantibody level of 586 AU/mL. It was found via right thigh biopsy results 8 days later that she had polymyositis with perivascular inflammation and degenerative muscle fiber change. Pulse therapy with methylprednisolone (1 gm/day for 3 days) was administered. After 4 days, she felt better and was discharged. Around 25.0%-34.1% of myositis patients have anti-Jo-1 autoantibodies, and ILD was noted in 65%-68% of anti-Jo-1-positive patients. A ground glass pattern may be observed in the CXRs of anti-Jo-1 ILD patients, and some articles described multiple pulmonary nodules mimicking lung metastasis or concomitant with pleural effusion. The conditions of approximately 42%-66% of ILD patients are controlled or are not worsened after treatment with corticosteroid and immunosuppressive drug treatment. However, some rapidly progressive cases are not sensitive to corticosteroid therapy alone.

Indexed as

anti-Jo-1 autoantibodyinterstitial lung diseasepolymyositis

Identifiers

PMID35860711
PMCPMC9283115
OpenAlexW4286593928

What OpenQuestion holds

Textmetadata
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.