Evidence map›Paper›PMID 31919575›Full record

ArticleRheumatology international2020

Positive conversion of interferon-γ release assay in patients with rheumatic diseases treated with biologics.

Hye Won Kim, Oh Chan Kwon, Sang Hoon Han, Min-Chan Park

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Rheumatology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. 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

4 authors at 1 institution in 1 country.

Hye Won KimDepartment of Medicine, The Graduate School, Yonsei University, Seoul, South Korea.ORCID http://orcid.org/0000-0001-9450-3626
Oh Chan KwonDivision of Rheumatology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-gu, Seoul, 06273, South Korea.ORCID http://orcid.org/0000-0001-7962-3697
Sang Hoon HanDivision of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.ORCID http://orcid.org/0000-0002-4278-5198
Min-Chan ParkDivision of Rheumatology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-gu, Seoul, 06273, South Korea. mcpark@yuhs.ac.ORCID http://orcid.org/0000-0003-1189-7637
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to investigate whether the type of biologics (TNFi or others) or type of rheumatic diseases (RA or AS) influence the conversion rate of initially negative tuberculosis (TB) screening test results. A total of 119 patients with RA or AS who had negative baseline interferon-γ release assay (IGRA) results assessed by QuantiFERON-TB Gold in tube (QTF-GIT) were included. All patients received biologic agents, and rescreening with QTF-GIT was performed after a median of 25.9 months from the baseline test. Clinical characteristics and IFN-γ levels were compared between converters and non-converters. Logistic regression analysis was performed to identify factors associated with positive conversion. IGRA conversion was found in 14 of 119 patients (11.8%). The converters were older (53.4 ± 14.2 vs 44.4 ± 15.5 years, p = 0.040), had higher baseline TB-specific IFN-γ responses (0.105 [0.018-0.205] vs 0.010 [0.000-0.035] IU/ml, p = 0.001) and higher incidence of active TB (14.3% vs 0.0%, p = 0.013). The number of patients with RA or AS was 9 (64.3%) or 5 (35.7%) in converters, and 45 (42.9%) or 60 (57.1%) in non-converters. In terms of use of biologics, TNFi of monoclonal antibody form was less commonly used in the converters (p = 0.024). In the logistic regression analysis, type of disease and type of biologics used were not associated with IGRA conversion, whereas baseline TB-specific IFN-γ response was significantly associated with IGRA conversion (OR 1.083, 95% CI 1.019-1.151, p = 0.011). Serial monitoring of LTBI with IGRA retesting is needed during biologic treatment, regardless of the type of rheumatic diseases or type biologics used.

Indexed as

AdultAgedAntirheumatic AgentsArthritis, RheumatoidBiological ProductsFemaleHumansInterferon-gamma Release TestsMaleMiddle AgedSpondylitis, AnkylosingTuberculosisTumor Necrosis Factor InhibitorsAntirheumatic AgentsBiological ProductsTumor Necrosis Factor InhibitorsAnkylosing spondylitisBiologicsInterferon-γ release assayRheumatoid arthritisTuberculosis

Identifiers

PMID31919575
OpenAlexW3000329666

What OpenQuestion holds

Textmetadata
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.