Evidence map›Paper›PMID 38557939›Full record

ArticleJMIR public health and surveillance2024

Timely Pulmonary Tuberculosis Diagnosis Based on the Epidemiological Disease Spectrum: Population-Based Prospective Cohort Study in the Republic of Korea.

Yousang Ko, Jae Seuk Park, Jinsoo Min, Hyung Woo Kim, Hyeon-Kyoung Koo, Jee Youn Oh, Yun-Jeong Jeong, Eunhye Lee, Bumhee Yang, Ju Sang Kim and 6 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 10 institutions in 1 country.

Yousang KoDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Republic of Korea.ORCID 0000-0002-1703-6590
Jae Seuk Park *Division of Pulmonary Medicine, Department of Internal Medicine, Dankook University College of Medicine, Cheonan, Republic of Korea.ORCID 0000-0001-9307-1155
Jinsoo MinDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0001-6091-518X
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, Incheon, Republic of Korea.ORCID 0000-0002-8897-6598
Hyeon-Kyoung KooDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Ilsan, Republic of Korea.ORCID 0000-0002-1200-9892
Jee Youn OhDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID 0000-0002-1219-0070
Yun-Jeong JeongDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Dongguk University Ilsan Hospital, Ilsan, Republic of Korea.ORCID 0000-0001-9144-7403
Eunhye LeeDivision of Pulmonology, Allergy and Critical Care Medicine, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea.ORCID 0000-0003-2570-3442
Bumhee YangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheong-Ju, Republic of Korea.ORCID 0000-0003-2537-4706
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, Incheon, Republic of Korea.ORCID 0000-0002-4433-231X
Sung-Soon LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Ilsan, Republic of Korea.ORCID 0000-0001-6422-2313
Yunhyung KwonDivision of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Osong, Republic of Korea.ORCID 0000-0002-7113-4626
Jiyeon YangDivision of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Osong, Republic of Korea.ORCID 0000-0001-5979-5926
Ji Yeon HanDivision of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Osong, Republic of Korea.ORCID 0000-0003-1127-4798
You Jin JangDivision of Tuberculosis Prevention and Control, Korea Disease Control and Prevention Agency, Osong, Republic of Korea.ORCID 0009-0001-9146-4622
Jinseob KimZarathu Co Ltd, Seoul, Republic of Korea.ORCID 0000-0002-9403-605X
Korea Disease Control and Prevention Agency · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KRInje University Ilsan Paik Hospital · KRChungbuk National University Hospital · KRDankook University · KRDongguk University Ilsan Hospital · KRHallym University · KRKorea University · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely pulmonary tuberculosis (PTB) diagnosis is a global health priority for interrupting transmission and optimizing treatment outcomes. The traditional dichotomous time-divided approach for addressing time delays in diagnosis has limited clinical application because the time delay significantly varies depending on each community in question.

objectiveWe aimed to reevaluate the diagnosis time delay based on the PTB disease spectrum using a novel scoring system that was applied at the national level in the Republic of Korea.

methodsThe Pulmonary Tuberculosis Spectrum Score (PTBSS) was developed based on previously published proposals related to the disease spectrum, and its validity was assessed by examining both all-cause and PTB-related mortality. In our analysis, we integrated the PTBSS into the Korea Tuberculosis Cohort Registry. We evaluated various time delays, including patient, health care, and overall delays, and their system-associated variables in line with each PTBSS. Furthermore, we reclassified the scores into distinct categories of mild (PTBSS=0-1), moderate (PBTBSS=2-3), and severe (PBTBSS=4-6) using a multivariate regression approach.

resultsAmong the 14,031 Korean patients with active PTB whose data were analyzed from 2018 to 2020, 37% (n=5191), 38% (n=5328), and 25% (n=3512) were classified as having a mild, moderate, and severe disease status, respectively, according to the PTBSS. This classification can therefore reflect the disease spectrum of PTB by considering the correlation of the score with mortality. The time delay patterns differed according to the PTBSS. In health care delays according to the PTBSS, greater PTB disease progression was associated with a shorter diagnosis period, since the condition is microbiologically easy to diagnose. However, with respect to patient delays, the change in elapsed time showed a U-shaped pattern as PTB progressed. This means that a remarkable patient delay in the real-world setting might occur at both apical ends of the spectrum (ie, in both mild and severe cases of PTB). Independent risk factors for a severe PTB pattern were age (adjusted odds ratio 1.014) and male sex (adjusted odds ratio 1.422), whereas no significant risk factor was found for mild PTB.

conclusionsTimely PTB diagnosis should be accomplished. This can be improved with use of the PTBSS, a simple and intuitive scoring system, which can be more helpful in clinical and public health applications compared to the traditional dichotomous time-only approach.

Indexed as

TuberculosisTuberculosis, PulmonaryHumansMaleProspective StudiesRepublic of KoreaRisk Factorsdisease spectrumearly diagnosisepidemiological diseasehealth care delaymortalitypatient delayPTB disease spectrumpulmonary tuberculosisrisk factorTBtimely diagnosistreatmenttuberculosis

Identifiers

PMID38557939
PMCPMC11019417
OpenAlexW4391385717

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.