Evidence map›Paper›PMID 29416342›Full record

ReviewTherapeutics and clinical risk management2018

Increased risk of venous thromboembolism associated with polymyositis and dermatomyositis: a meta-analysis.

Yanqing Li, Peihong Wang, Lei Li, Fei Wang, Yuxiu Liu

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutics and clinical risk management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  13. Biological Therapies in Inflammatory Myopathies.Rambam Maimonides medical journal · 2023
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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.

Yanqing LiDepartment of Pharmacy Intravenous Admixture Services, Affiliated Hospital of Weifang Medical University, Weifang.
Peihong WangDepartment of Interventional Oncology, Weifang Tumor Hospital, Weifang.
Lei LiDepartment of Gastroenterology, Affiliated Hospital of Weifang Medical University, Weifang.
Fei WangDepartment of Neurosurgery, Affiliated Hospital of Weifang Medical University, Weifang.
Yuxiu LiuSchool of Nursing, Weifang Medical University, Weifang, People's Republic of China.
Weifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePolymyositis and dermatomyositis (PM/DM) have been implicated in the development of venous thromboembolism (VTE). Previous studies investigating the association between PM/DM and VTE risk had yielded inconsistent findings. The aim of this study was to precisely estimate this association by meta-analysis of all available publications.

methodsTwo investigators independently performed a comprehensive literature search in databases of PubMed, Embase, and the Cochrane Library for eligible studies. The strength for the association was weighed by pooled odds ratios (ORs) with 95% confidence intervals (95% CIs). Stratified analysis and sensitivity analysis were performed for further analysis.

resultsSix studies including 9,045 patients with PM/DM were analyzed. The pooled OR suggested that inflammatory myositis was associated with increased risk of VTE (OR =4.31, 95% CI: 2.55-7.29,

conclusionOur study shows strong evidence that patients with inflammatory myositis have an increased risk of VTE.

Indexed as

deep venous thrombosisdermatomyositispolymyositispulmonary embolismvenous thromboembolism

Identifiers

PMID29416342
PMCPMC5788999
OpenAlexW2785120346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.