Evidence map›Paper›PMID 23525649›Full record

ArticleThe Korean journal of internal medicine2013

Clinical characteristics and treatment responses of patients who developed tuberculosis following use of a tumor necrosis factor-α inhibitor.

Keun Bum Chung, Eun Young Lee, Jong Pil Im, Sung Koo Han, Jae-Joon Yim

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2013. 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
1.6field-weighted citation impact, top 17% 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, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Novel treatments for inflammatory bowel disease.The Korean journal of internal medicine · 2018
    Review
  5. Article
  6. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Keun Bum ChungDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Eun Young Lee
Jong Pil Im
Sung Koo Han
Jae-Joon Yim
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsIndividuals being treated with tumor necrosis factor (TNF)-α inhibitors are at increased risk of developing tuberculosis (TB). We determined the clinical characteristics and treatment response of patients who developed TB after using TNF-α inhibitors.

methodsPatients with TB detected within 12 months of the initiation of TNF-α inhibitor treatment were included, if seen from January 1, 2000 to August 31, 2011. We retrospectively reviewed the clinical records, results of bacteriological examinations, and radiographs of the included patients and the response to anti-TB treatment.

resultsWe indentified seven cases of TB in 457 patients treated with TNF-α inhibitors during the study period. TB developed a median of 123 days (range, 48 to 331) after the first dose of TNF-α inhibitor. Pulmonary TB, including TB pleuritis, was diagnosed in three patients and extrapulmonary TB in four. Favorable treatment outcomes were achieved in six of seven patients.

conclusionsAmong the TNF-α inhibitor users who contracted TB, extrapulmonary sites were common and the treatment response was satisfactory.

Indexed as

Immunocompromised HostAdultAgedAntitubercular AgentsFemaleHumansImmunosuppressive AgentsInterferon-gamma Release TestsMaleMiddle AgedRetrospective StudiesRisk FactorsTime FactorsTreatment OutcomeTuberculin TestTuberculosisAntitubercular AgentsImmunosuppressive AgentsTumor Necrosis Factor-alphaMycobacteriumTuberculosisTumor necrosis factor-alpha

Identifiers

PMID23525649
PMCPMC3604607
OpenAlexW2101157024

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.