Evidence map›Paper›PMID 33209416›Full record

ArticleJournal of thoracic disease2020

Impact of the interferon-γ release assay and glomerular filtration rate on the estimation of active tuberculosis risk before bronchoscopic examinations: a retrospective pilot study.

Fumihiro Yamaguchi, Haruka Yoda, Mina Hiraiwa, Yo Shiratori, Shota Onozaki, Mari Ito, Saori Kashima, Miku Kosuge, Kenji Atarashi, Hidekazu Cho and 10 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

20 authors at 1 institution in 1 country.

Fumihiro YamaguchiDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Haruka YodaDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Mina HiraiwaDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Yo ShiratoriDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Shota OnozakiDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Mari ItoDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Saori KashimaDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Miku KosugeDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Kenji AtarashiDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Hidekazu ChoDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Shohei ShimizuDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Akira FujishimaDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Ayaka MaseDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Yuki OsakabeDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Toshitaka FunakiDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Daisuke InoueDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Yohei YamazakiDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Hidetsugu TatenoDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Takuya YokoeDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Yusuke ShikamaDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Showa University Fujigaoka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBronchoscopic examinations are vital to diagnose pulmonary diseases. However, as coughing is triggered during and after the procedure, it is imperative to take measures against nosocomial infections, especially for airborne infections like tuberculosis (TB). The interferon-γ release assay (IGRA) has recently been established as a method to evaluate the infection status of TB. We aimed to ascertain the efficacy of IGRA and clinical findings in estimating the prevalence of active TB before bronchoscopy.

methodsWe obtained IGRA results from 136 inpatients using a QuantiFERON-TB Gold In-Tube test. Bronchoscopy samples were cultured in

resultsFive (3.7%) patients were diagnosed with culture-positive TB, two of whom were simultaneously diagnosed with non-small-cell lung carcinoma or small-cell lung carcinoma. The multivariate analysis suggested the probability of predicting active TB using the IGRA [odds ratio (OR), 72.7; 95% confidence interval (CI), 3.169-1668; P=0.007] and decreased estimated glomerular filtration rate (eGFR) (OR, 0.937; 95% CI, 0.882-0.996; P=0.038) in patients undergoing bronchoscopy. A decision tree validated the use of these two variables to predict active TB.

conclusionsIGRA test results are useful for predicting active TB before bronchoscopy. This strategy could identify patients who require antibiotic therapy to prevent TB or who are in the active phase of TB.

Indexed as

Bronchoscopic examinationestimated glomerular filtration rate (eGFR)interferon-γ release assay (IGRA)latent tuberculosis infectionMycobacterium tuberculosis (MTB)

Identifiers

PMID33209416
PMCPMC7656403
OpenAlexW3088313262

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.