Evidence map›Paper›PMID 22933126›Full record

ArticleClinical rheumatology2012

Clinical significance of peripheral blood lymphocyte subsets in patients with polymyositis and dermatomyositis.

Dong Xue Wang, Xin Lu, Ning Zu, Bing Lin, Li Ying Wang, Xiao Ming Shu, Li Ma, Guo Chun Wang

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.8field-weighted citation impact, top 27% 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, 35 citations in OpenAlex.

  1. Article
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  8. CD8International journal of molecular sciences · 2022
    Review
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  15. Observational
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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

8 authors at 1 institution in 1 country.

Dong Xue WangDepartment of rheumatology, China-Japan Friendship hospital, Yinghua East road, Chaoyang district, Beijing, China.
Xin Lu
Ning Zu
Bing Lin
Li Ying Wang
Xiao Ming Shu
Li Ma
Guo Chun Wang
China-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral blood lymphocyte subsets were determined by flow cytometry in 89 Chinese patients with polymyositis (PM) and dermatomyositis (DM). We aimed to investigate the clinical significance of peripheral blood lymphocyte subsets in PM/DM. Patients with active DM showed significant decreases in numbers of CD3(+) cells, CD3(+)CD4(+) cells, and CD3(+)CD8(+) cells, as compared to patients with inactive DM and healthy controls (P < 0.05). CD3(+) and CD3(+)CD4(+) cell counts were significantly lower in DM before treatment, compared with after treatment (t = -5.714 and -3.665, P < 0.05). Counts of CD3(+) cells, CD3(+)CD4(+) cells, CD3(+)CD8(+) cells, and CD19(+)CD5(-) cells were all correlated with the total disease activity score as determined by the Myositis Disease Activity Assessment Visual Analogue Scale (P < 0.05). The decreased number of CD3(+) cells and the decreased percentage of CD3(+)CD4(+) cells were additionally correlated with the presence of interstitial lung disease in PM/DM (P < 0.05). The presence of levels of CD3(+)CD8(+) cells was risk factor for death (b = -0.011, OR = 0.989, P < 0.05). The identification of peripheral blood T lymphocyte subsets in PM/DM appears to be useful as a reference marker in the evaluation of clinical disease activity, and be useful in the comprehensive assessment of clinical lung involvement. A decrease in CD8(+) T cells may predict a poor outcome in patients with PM/DM.

Indexed as

AdultAgedDermatomyositisFemaleHumansImmunophenotypingLymphocyte CountLymphocyte SubsetsMaleMiddle AgedPolymyositis

Identifiers

PMID22933126
OpenAlexW1989584422

What OpenQuestion holds

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Read underepoch 390

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.