Evidence map›Paper›PMID 35859107›Full record

ArticleScientific reports2022

Hidden loss to follow-up among tuberculosis patients managed by public-private mix institutions in South Korea.

Hyung Woo Kim, Sohee Park, Jinsoo Min, Jiyu Sun, Ah Young Shin, Jick Hwan Ha, Jae Seuk Park, Sung-Soon Lee, Marc Lipman, Ibrahim Abubakar and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 9 institutions in 3 countries.

Hyung Woo Kim *Division 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.
Sohee Park *Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea.
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.
Jiyu SunDivision of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Ah Young ShinDivision 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.
Jick Hwan HaDivision 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, Goyang, Republic of Korea.
Marc LipmanUCL-TB, University College London, London, UK.
Ibrahim AbubakarInstitute for Global Health, University College London, London, UK.
Helen R StaggUsher Institute, The University of Edinburgh, Edinburgh, UK. helen.stagg@ed.ac.uk.
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. kimjusang@catholic.ac.kr.
Catholic University of Korea · KRYonsei University · KRDankook University · KRInje University Ilsan Paik Hospital · KRRoyal Free London NHS Foundation Trust · GBThe Catholic University of Korea Incheon St. Mary's Hospital · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRUniversity College London · GBUniversity of Edinburgh · GB

Funding

Medical Research Council MR/R008345/1
6 · The paper itself

Abstract

In South Korea, public-private mix (PPM) was launched in 2011. This retrospective cohort study sought to determine the rate of loss to follow-up (LTFU) among drug-susceptible tuberculosis (DS-TB) patients in all nationwide PPM institutions, and the risk factors for LTFU. National notification data for DS-TB patients diagnosed between August 2011 and July 2014 in PPM institutions were analysed. Determination of LTFU included detection of instances where patients were transferred out, but when they did not attend at other TB centres in the following two months. Univariable and multivariable competing risk models were used to determine risk factors for LTFU. 73,046 patients with 78,485 records were enrolled. Nominally, 3426 (4.4%) of records were LTFU. However, after linking the multiple records in each patient, the percentage of LTFU was 12.3% (9004/73,046). Risk factors for LTFU were: being foreign-born (3.13 (95% CI 2.77-3.53)), prior LTFU (2.31 (2.06-2.59)) and greater distance between the patient's home and the TB centre (4.27 (4.03-4.53)). 'Transfer-out' was a risk factor in patients managed by treatment centres close to home (1.65 (1.49-1.83)), but protective for those attending centres further (0.77 (0.66-0.89)) or far-away (0.52 (0.46-0.59)) from home. By considering the complete picture of a patient's interactions with healthcare, we identified a much higher level of LTFU than previously documented. This has implications for how outcomes of treatment are reported and argues for a joined-up national approach for the management and surveillance of TB patients, in nations with similar healthcare systems.

Indexed as

Lost to Follow-UpTuberculosisFollow-Up StudiesHumansRetrospective StudiesRisk Factors

Identifiers

PMID35859107
PMCPMC9300674
OpenAlexW4286501644

What OpenQuestion holds

Textmetadata
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.