Evidence map›Paper›PMID 35971527›Full record

ArticleInternational journal of general medicine2022

Characterisation of Disease Patterns of Dermatomyositis with Different Initial Manifestations.

Yue Sun, Dai-Feng Li, Yin-Li Zhang, Xu Liang, Tian-Fang Li

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Yue SunDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.ORCID 0000-0002-6810-1794
Dai-Feng LiDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.ORCID 0000-0002-7388-7285
Yin-Li ZhangDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.ORCID 0000-0002-9497-2745
Xu LiangDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.ORCID 0000-0002-7481-7537
Tian-Fang LiDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.ORCID 0000-0002-3039-8676
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine the characteristics and prognoses of dermatomyositis (DM) by comparing the difference in initial symptoms. Patients and Methods: A retrospective analysis was performed on the patients diagnosed with DM from 1 January 2019 to 1 January 2021. Based on the firstly presented symptoms, patients were divided into five groups, namely rash group, muscle weakness group, arthritis group, respiratory symptom group and atypical symptom group. Clinical and laboratory data were recorded. All patients were followed up until 31 May 2021. Results: In total 136 DM patients, rash (40%) was the most common initial symptom, followed by respiratory symptoms (22%), arthritis (20%), muscle weakness (10%) and atypical symptoms (8%). Rash group and atypical group had a higher positive rate of anti-TIF1γ antibodies than arthritis group and respiratory symptom group ( Conclusion: DM patients with different initial manifestations had different myositis antibodies and prognoses.

Indexed as

ILDinitial symptominterstitial lung diseaseMSAmyositis specific antibodyrash

Identifiers

PMID35971527
PMCPMC9375547
OpenAlexW4290722966

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.