Evidence map›Paper›PMID 34227261›Full record

ArticleJournal of Korean medical science2021

Additional Drug Resistance in Patients with Multidrug-resistant Tuberculosis in Korea: a Multicenter Study from 2010 to 2019.

Taehoon Lee, Seung Jun Lee, Doosoo Jeon, Ho Young Lee, Hyo Jung Kim, Bo Hyoung Kang, Jeongha Mok

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2021. 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
0.4field-weighted citation impact, top 37% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Availability and costs of medicines for the treatment of tuberculosis in Europe.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023
    Article
  8. Review
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 7 institutions in 1 country.

Taehoon Lee *Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.ORCID https://orcid.org/0000-0002-9224-0866
Seung Jun Lee *Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju, Korea.ORCID https://orcid.org/0000-0002-1849-5086
Doosoo JeonDepartment of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea.ORCID https://orcid.org/0000-0002-8206-9487
Ho Young LeeDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0001-7976-3753
Hyo Jung KimDivision of Pulmonary, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Korea.ORCID https://orcid.org/0000-0002-8867-7483
Bo Hyoung KangDepartment of Internal Medicine, Dong-A University Hospital, Busan, Korea.ORCID https://orcid.org/0000-0001-5809-8360
Jeongha MokDepartment of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0001-7406-1373
Dong-A University Hospital · KRGyeongsang National University Hospital · KRInje University Busan Paik Hospital · KRInje University Haeundae Paik Hospital · KRPusan National University Hospital · KRPusan National University Yangsan Hospital · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug-resistance surveillance (DRS) data provide key information for building an effective treatment regimen in patients with multidrug-resistant tuberculosis (MDR-TB). This study was conducted to investigate the patterns and trends of additional drug resistance in MDR-TB patients in South Korea.

methodsPhenotypic drug susceptibility test (DST) results of MDR-TB patients collected from seven hospitals in South Korea from 2010 to 2019 were retrospectively analyzed.

resultsIn total, 633 patients with MDR-TB were included in the analysis. Of all patients, 361 (57.0%) were new patients. All patients had additional resistance to a median of three anti-TB drugs. The resistance rates of any fluoroquinolone (FQ), linezolid, and cycloserine were 26.2%, 0.0%, and 6.3%, respectively. The proportions of new patients and resistance rates of most anti-TB drugs did not decrease during the study period. The number of additional resistant drugs was significantly higher in FQ-resistant MDR-TB than in FQ-susceptible MDR-TB (median of 9.0 vs. 2.0). Among 26 patients with results of minimum inhibitory concentrations for bedaquiline (BDQ) and delamanid (DLM), one (3.8%) and three (11.5%) patients were considered resistant to BDQ and DLM with interim critical concentrations, respectively. Based on the DST results, 72.4% and 24.8% of patients were eligible for the World Health Organization's longer and shorter MDR-TB treatment regimen, respectively.

conclusionThe proportions of new patients and rates of additional drug resistance in patients with MDR-TB were high and remain stable in South Korea. A nationwide analysis of DRS data is required to provide effective treatment for MDR-TB patients in South Korea.

Indexed as

AdolescentAdultAgedAged, 80 and overAntitubercular AgentsChildChild, PreschoolDiarylquinolinesDrug Resistance, Multiple, BacterialFemaleFluoroquinolonesHumansInfantInfant, NewbornMaleMicrobial Sensitivity TestsAntitubercular AgentsbedaquilineDiarylquinolinesFluoroquinolonesMultidrug-resistantResistanceSouth KoreaTuberculosis

Identifiers

PMID34227261
PMCPMC8258238
OpenAlexW3172959268

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.