Evidence map›Paper›PMID 35568913›Full record

ArticleArthritis research & therapy2022

Increased frequency of IgD-CD27

Chen Wang, Zhi-Ying Li, Yan Gong, Ran You, Ming-Hui, Zhao, Min Chen

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Chen WangRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, NO.8 Xishiku Street, Xicheng District, Beijing, 100034, China. wangchen8784@163.com.
Zhi-Ying LiRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, NO.8 Xishiku Street, Xicheng District, Beijing, 100034, China.
Yan GongDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Ran YouDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Ming-Hui
ZhaoRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, NO.8 Xishiku Street, Xicheng District, Beijing, 100034, China.
Min ChenRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, NO.8 Xishiku Street, Xicheng District, Beijing, 100034, China.
Peking University First Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundB cells have been highlighted in the pathogenesis of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) by the identification of activated B cells in granulomatous lesions and the efficacy of B cell depletion in treatment of AAV patients in the current study; we aimed to investigate the frequency of a specific B cell subset, IgD-CD27

methodsBlood samples of patients with AAV in active stage and in remission were collected. The frequency of IgD-CD27

resultsOur results showed a significant increase of circulating IgD-CD27

conclusionsThe results indicated that IgD-CD27

Indexed as

Anti-Neutrophil Cytoplasmic Antibody-Associated VasculitisB-Lymphocyte SubsetsAntibodies, Antineutrophil CytoplasmicB-LymphocytesHumansImmunoglobulin DAntibodies, Antineutrophil CytoplasmicImmunoglobulin DAntineutrophil cytoplasmic antibodyB cellsRenal involvementVasculitis

Identifiers

PMID35568913
PMCPMC9107193
OpenAlexW4280521940

What OpenQuestion holds

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LicenceCC BY
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.