Evidence map›Paper›PMID 32831044›Full record

ArticleBMC infectious diseases2020

Prediction of treatment failure and compliance in patients with tuberculosis.

Hyeon-Kyoung Koo, Jinsoo Min, Hyung Woo Kim, Joosun Lee, Ju Sang Kim, Jae Seuk Park, Sung-Soon Lee

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
0.7field-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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  13. Hematochemical hallmarks as markers of pulmonary TB severity: A multicenter cross-sectional study.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
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  15. Two-centers machine learning analysis for predicting acid-fast bacilli results in tuberculosis sputum tests.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
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  19. Observational
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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

7 authors at 5 institutions in 1 country.

Hyeon-Kyoung KooDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Juhwa-ro 170, Ilsanseo-gu, Goyang, 10380, Republic of Korea.
Jinsoo MinDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hyung Woo KimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Joosun LeeDivision of TB Epidemic Investigation, Korea Centers for Disease Control and Prevention, Osong, Republic of Korea.
Ju Sang KimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jae Seuk ParkDivision of Pulmonary Medicine, Department of Internal Medicine, Dankook University College of Medicine, Cheonan, Republic of Korea.
Sung-Soon LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Juhwa-ro 170, Ilsanseo-gu, Goyang, 10380, Republic of Korea. Sungsoonlee@gmail.com.ORCID http://orcid.org/0000-0001-6422-2313
Inje University Ilsan Paik Hospital · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KRDankook University · KRKorea Disease Control and Prevention Agency · KRThe Catholic University of Korea Daejeon St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve treatment outcomes for tuberculosis (TB), efforts to reduce treatment failure are necessary. The aim of our study was to describe the characteristics of subjects who had failed treatment of tuberculosis and identify the risk factors for treatment failure and poor compliance using national data.

methodsA multicenter cross-sectional study was performed on tuberculosis subjects whose final outcome was reported as treatment failure during 2015-2017. The same number of subjects with treatment success during the same study period were randomly selected for comparison. Demographics, microbiological, radiographic, and clinical data were collected based on in-depth interviews by TB nurse specialists at all Public Private Mix (PPM) participating hospitals in South Korea.

resultsA total of 52 tuberculosis patients with treatment failure were enrolled. In a multivariable analysis, the presence of diabetes, previous history of tuberculosis, and cavity were identified as risk factors for treatment failure; and Medicaid support was a favorable factor for treatment success (area under the curve [AUC]: 0.79). Age, low body mass index (BMI), presence of diabetes, preexisting lung disease, positive sputum acid-fast bacilli (AFB) smear result, and the presence of multidrug-resistant tuberculosis (MDR-TB) were significantly associated with presence of cavities. Younger age, lower BMI and previous history of TB were associated with poor compliance during treatment (AUC: 0.76).

conclusionTo reduce treatment failure, careful evaluation of the presence of diabetes, previous TB history, underlying lung disease, cavity, results of sputum AFB smears, and socioeconomic status are needed. To enhance treatment compliance, more attention should be paid to younger patients with lower BMIs during follow-up.

Indexed as

Patient ComplianceTreatment FailureAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedRepublic of KoreaRisk FactorsSputumTreatment OutcomeTuberculosisTuberculosis, Multidrug-ResistantKoreaPublic-private sector partnershipTreatment failureTuberculosis

Identifiers

PMID32831044
PMCPMC7446045
OpenAlexW3081169746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.