Evidence map›Paper›PMID 33251777›Full record

ArticleYonsei medical journal2020

Characteristics and Treatment Outcomes of Isoniazid Mono-Resistant Tuberculosis: A Retrospective Study.

Se Hyun Kwak, Ji Soo Choi, Eun Hye Lee, Su Hwan Lee, Ah Young Leem, Sang Hoon Lee, Song Yee Kim, Kyung Soo Chung, Eun Young Kim, Ji Ye Jung and 4 more

Abstract read
In one paragraph

Article in Yonsei medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

14 authors.

Se Hyun KwakDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5680-111X
Ji Soo ChoiDivision of Pulmonology, Allergy and Critical Care Medicine, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0003-2716-6775
Eun Hye LeeDivision of Pulmonology, Allergy and Critical Care Medicine, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0003-2570-3442
Su Hwan LeeDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3487-2574
Ah Young LeemDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5165-3704
Sang Hoon LeeDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7706-5318
Song Yee KimDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8627-486X
Kyung Soo ChungDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1604-8730
Eun Young KimDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3281-5744
Ji Ye JungDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1589-4142
Moo Suk ParkDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0820-7615
Young Sam KimDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9656-8482
Joon ChangDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4542-6841
Young Ae KangDivision of Pulmonology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7783-5271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIsoniazid (INH) mono-resistant tuberculosis (Hr-TB) is a highly prevalent type of drug-resistant TB, possibly associated with unfavorable treatment outcomes. However, definitive guidelines on an optimal treatment regimen and duration for Hr-TB are currently under discussion. We evaluated the characteristics and treatment outcomes of Hr-TB patients. MATERIALS AND

methodsWe retrospectively reviewed the medical records of Hr-TB patients treated at a South Korean tertiary referral hospital from January 2005 to December 2018.

resultsWe included 195 Hr-TB patients. 113 (57.9%) were male, and the median age was 56.6 [interquartile range, 40.2-68.6] years. Mutations in

conclusionA tailored strategy targeting high-risk patients is imperative for improved treatment outcomes. Further research on the rapid and accurate detection of resistance to INH and other companion drugs is warranted.

Indexed as

AdultAgedAntitubercular AgentsFemaleHumansIsoniazidMaleMiddle AgedMutationMycobacterium tuberculosisPrevalenceRepublic of KoreaRetrospective StudiesTreatment OutcomeTuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsIsoniazidisoniazidtreatment outcomeTuberculosis

Identifiers

PMID33251777
PMCPMC7700875

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.