Evidence map›Paper›PMID 31914015›Full record

Observational studyMedicine2020

Serial anti-tuberculous immune responses during the follow-up of patients with tuberculous pleurisy.

Bing-Yan Zhang, Zhi-Min Yu, Qing-Luan Yang, Qian-Qian Liu, Hua-Xin Chen, Jing Wu, Sen Wang, Ling-Yun Shao, Xin-Hua Weng, Qin-Fang Ou and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

12 authors at 2 institutions in 2 countries.

Bing-Yan ZhangDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Zhi-Min YuDepartment of Pulmonary Diseases, Fifth People Hospital of Wuxi, Wuxi.
Qing-Luan YangDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Qian-Qian LiuDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Hua-Xin ChenDepartment of Pulmonary Diseases, Fifth People Hospital of Wuxi, Wuxi.
Jing WuDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Sen WangDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Ling-Yun ShaoDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Xin-Hua WengDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Qin-Fang OuDepartment of Pulmonary Diseases, Fifth People Hospital of Wuxi, Wuxi.
Yan GaoDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Wen-Hong ZhangDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai.
Fudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the decay kinetics of interferon (IFN)-γ response and its influencing factors in tuberculous pleurisy. We enrolled thirty-two patients with tuberculous pleurisy prospectively and followed up at month 0, 6, and 9, at which time peripheral venous blood was drawn for interferon gamma release assay (IGRA) by means of QuantiFERON-TB Gold In-Tube (QFT-GIT). Demographic and clinical data were captured. To identify significant predictive factors influencing the IFN-γ response, multiple linear regression analyses were performed. Percentage of CD4+, CD8+, Vγ2Vδ2 T cells and Treg cells were measured by flow cytometry. The percentage of QFT-GIT-positive patients at baseline, month 6 and month 9 were 96.9% (30/32), 90.6% (29/32) and 84.4% (27/32), respectively. Quantitative IFN-γ response at baseline were significantly correlated with symptom duration (P = .003, R = 0.261) and age (P = .041, R = 0.132). Besides, the decreases of the IFN-γ response at month 6 and month 9 were positively correlated with the IFN-γ level at baseline. The dynamic tendency of the percentages of Treg cells was similar to the IFN-γ responses at each time-point. Quantitative IFN-γ response could be influenced by host immune status, instead of disease burden and anti-tuberculosis treatment. IGRA is probably not a useful biomarker of treatment efficacy in tuberculous pleurisy.

Indexed as

AdultAntitubercular AgentsCD4-Positive T-LymphocytesFemaleFlow CytometryFollow-Up StudiesHumansInterferon-gammaInterferon-gamma Release TestsMaleMiddle AgedProspective StudiesT-LymphocytesTuberculosis, PleuralAntitubercular AgentsInterferon-gamma

Identifiers

PMID31914015
PMCPMC6959865
OpenAlexW2999802176

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.