Evidence map›Paper›PMID 35069538›Full record

Trial reportFrontiers in immunology2021

ECG Changes Through Immunosuppressive Therapy Indicate Cardiac Abnormality in Anti-MDA5 Antibody-Positive Clinically Amyopathic Dermatomyositis.

Takashi Matsuo, Tsuneo Sasai, Ran Nakashima, Yoshihiro Kuwabara, Eri Toda Kato, Isao Murakami, Hideo Onizawa, Shuji Akizuki, Kosaku Murakami, Motomu Hashimoto and 4 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Multivariate logistic regression analysis of poor prognosis of dermatomyositis and clinical value of ferritin/Kl-6 in predicting prognosis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  4. Article
  5. Review
  6. 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

14 authors at 4 institutions in 1 country.

Takashi MatsuoDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Tsuneo SasaiDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Ran NakashimaDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Yoshihiro KuwabaraCancer Control Center, Osaka International Cancer Institute, Osaka, Japan.
Eri Toda KatoDepartment of Cardiovascular Medicine, Kyoto University, Kyoto, Japan.
Isao MurakamiDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Hideo OnizawaDepartment of Advanced Medicine for Rheumatic Diseases, Kyoto University, Kyoto, Japan.
Shuji AkizukiDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Kosaku MurakamiDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Motomu HashimotoDepartment of Advanced Medicine for Rheumatic Diseases, Kyoto University, Kyoto, Japan.
Hajime YoshifujiDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Masao TanakaDepartment of Advanced Medicine for Rheumatic Diseases, Kyoto University, Kyoto, Japan.
Akio MorinobuDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Tsuneyo MimoriDepartment of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
Kyoto University Hospital · JPKyoto University · JPOsaka City University · JPOsaka Medical Center for Cancer and Cardiovascular Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-melanoma differentiation-associated gene 5 (MDA5) antibody, a dermatomyositis (DM)-specific antibody, is strongly associated with interstitial lung disease (ILD). Patients with idiopathic inflammatory myopathy (IIM) who are anti-MDA5 antibody positive [anti-MDA5 (+)] often experience chest symptoms during the active disease phase. These symptoms are primarily explained by respiratory failure; nevertheless, cardiac involvement can also be symptomatic. Thus, the aim of this study was to investigate cardiac involvement in anti-MDA5 (+) DM. A total of 63 patients with IIM who underwent electrocardiography (ECG) and ultrasound cardiography (UCG) during the active disease phase from 2016 to 2021 [anti-MDA5 (+) group, n = 21; anti-MDA5-negative (-) group, n = 42] were enrolled in the study, and their clinical charts were retrospectively reviewed. The ECG and UCG findings were compared between the anti-MDA5 (+) and anti-MDA5 (-) groups. All anti-MDA5 (+) patients had DM with ILD. The anti-MDA5 (+) group showed more frequent skin ulcerations and lower levels of leukocytes, muscle enzymes, and electrolytes (Na, K, Cl, and Ca) than the anti-MDA5 (-) group. According to the ECG findings obtained during the active disease phase, the T wave amplitudes were significantly lower for the anti-MDA5 (+) group than for the anti-MDA5 (-) group (I, II, and V4-6 lead;

Indexed as

DermatomyositisElectrocardiographyHeart DiseasesAdultAgedAutoantibodiesFemaleHumansImmunosuppression TherapyInterferon-Induced Helicase, IFIH1MaleMiddle AgedAutoantibodiesIFIH1 protein, humanInterferon-Induced Helicase, IFIH1anti-melanoma differentiation-associated gene 5 antibodydermatomyositiselectrocardiographyinterstitial lung diseaseT wave

Identifiers

PMID35069538
PMCPMC8776991
OpenAlexW4205989594

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.