Evidence map›Paper›PMID 31126067›Full record

ArticleJournal of clinical medicine2019

The Clinical Significance of Programmed Death-1, Regulatory T Cells and Myeloid Derived Suppressor Cells in Patients with Nontuberculous Mycobacteria-Lung Disease.

Chin-Chung Shu, Sheng-Wei Pan, Jia-Yih Feng, Jann-Yuan Wang, Yu-Jiun Chan, Chong-Jen Yu, Wei-Juin Su

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  16. Recombinant interleukin-7 treatment of refractoryTherapeutic advances in infectious disease
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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 3 institutions in 1 country.

Chin-Chung ShuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan. ccshu139@ntu.edu.tw.ORCID 0000-0003-0311-5148
Sheng-Wei PanDepartment of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan. swpan2@vghtpe.gov.tw.ORCID 0000-0002-7400-6996
Jia-Yih FengDepartment of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan. peterofeng@gmail.com.
Jann-Yuan WangDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan. jywang@ntu.edu.tw.ORCID 0000-0003-3406-366X
Yu-Jiun ChanDivision of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan. yjchan@vghtpe.gov.tw.
Chong-Jen YuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan. jefferycjyu@ntu.edu.tw.ORCID 0000-0001-5664-9392
Wei-Juin SuDepartment of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan. wjsu@vghtpe.gov.tw.
National Taiwan University · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

Ministry of Science and Technology, Taiwan 105-2628-B-002-046-MY3
6 · The paper itself

Abstract

backgroundIncreasing expression of programmed death-1 (PD-1) in patients with nontuberculous mycobacteria lung disease (NTM-LD) has been reported, but its role in clinical characteristics and outcomes remains unclear.

methodsWe enrolled 96 participants, including 46 with

resultsThe percentage of PD-1 on CD4

conclusionAs markers of immune tolerance, PD-1

Indexed as

cytotoxic T-lymphocyte antigen-4Mycobacterium abscessusMycobacterium avium complexmyeloid derived suppressor cellsnontuberculous mycobacteriaprogrammed death-1regulatory T cells

Identifiers

PMID31126067
PMCPMC6572058
OpenAlexW2946172846

What OpenQuestion holds

Textmetadata
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.