Evidence map›Paper›PMID 26297576›Full record

ArticleBMC infectious diseases2015

Molecular epidemiology study of Mycobacterium tuberculosis and its susceptibility to anti-tuberculosis drugs in Indonesia.

Vivi Lisdawati, Nelly Puspandari, Lutfah Rif'ati, Triyani Soekarno, Melatiwati M, Syamsidar K, Lies Ratnasari, Nur Izzatun, Ida Parwati

Abstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. First Insight into the Molecular Epidemiology ofBioMed research international · 2017
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Distribution and origins ofMicrobial genomics · 2023
    Article
  7. Article
  8. Resistance ofHeliyon · 2019
    Article
  9. Molecular Diagnosis of Tuberculosis.Chonnam medical journal · 2018
    Review
  10. Article
  11. Article
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

9 authors.

Vivi LisdawatiInstitute for Vector and Reservoir Disease Control Research and Development (IVRDCRD), Salatiga, Indonesia. vivi_l@litbang.depkes.go.id.
Nelly PuspandariCenter for Biomedical and Basic Technology of Health (CBBTH), NIHRD, MoH-RI, Jakarta, Indonesia. nellypuspa@gmail.com.
Lutfah Rif'atiCenter for Biomedical and Basic Technology of Health (CBBTH), NIHRD, MoH-RI, Jakarta, Indonesia. lutfahrifati@yahoo.com.
Triyani SoekarnoCenter for Biomedical and Basic Technology of Health (CBBTH), NIHRD, MoH-RI, Jakarta, Indonesia. triyanisoekarso@gmail.com.
Melatiwati MCenter for Biomedical and Basic Technology of Health (CBBTH), NIHRD, MoH-RI, Jakarta, Indonesia. melatiwati@ymail.com.
Syamsidar KCenter for Biomedical and Basic Technology of Health (CBBTH), NIHRD, MoH-RI, Jakarta, Indonesia. syamsidar.litbang@gmail.com.
Lies RatnasariDepartment of Clinical Pathology, Dr. Hasan Sadikin Hospital, Bandung, Indonesia. liesratna68@gmail.com.
Nur IzzatunDepartment of Clinical Pathology, Dr. Hasan Sadikin Hospital, Bandung, Indonesia. nur.izzatun.nafsir@gmail.com.
Ida ParwatiDepartment of Clinical Pathology, Dr. Hasan Sadikin Hospital, Bandung, Indonesia. idaparwati2008@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenotyping of Mycobacterium tuberculosis helps to understand the molecular epidemiology of tuberculosis and to address evolutionary questions about the disease spread. Certain genotypes also have implications for the spread of infection and treatment. Indonesia is a very diverse country with a population with multiple ethnicities and cultures and a history of many trade and tourism routes. This study describes the first attempt to map the molecular epidemiology of TB in the Indonesian archipelago.

methodFrom 2008 to 2011, 404 clinical specimens from sputum-smear (SS+) TB patients, age ≥15 years, were collected from 16 TB referral primary health centers (PHC) in 16 provincial capitals in Indonesia. Susceptibility testing to first line drugs was conducted for 262 samples using the agar proportion method as per WHO guidelines. Spoligotyping was done on all samples.

resultsNinety-three of the 404 samples (23 %) were from the Beijing family, making it the predominant family in the country. However, the geographic distribution of the family varied by region with 86/294 (29.3 %) in the western region, 6/72 (8.3 %) in the central region, and 2/72 (2.8 %) in the eastern region (p < 0.001). The predominant genotype in the central and eastern regions was from the East-African-Indian (EAI) family, comprising 15.3 % (11/72), and 26.3 % (10/38) of the isolates, respectively. Drug susceptibility to first-line anti-TB drugs was tested in 262 isolates. 162 (61.8 %) isolates were susceptible to all TB drugs, 70 (26.7 %) were mono-resistant 16 (6.1 %) were poly-resistant, and 14 (5.4 %) were multi-drug resistant (MDR). The proportion of Beijing family isolates in the susceptible, mono-resistant, poly-resistant, and MDR groups was 33/162 (20.4 %), 28/70 (40.0 %), 6/16 (37.5 %), and 3/14 (21.4 %), respectively. Overall, resistance of the Beijing family isolates to any of the first line TB drugs was significantly higher than non-Beijing families [37/71 (52.1 %) vs. 63/191 (33.0 %) (p-value = 0.003)].

conclusionThe distribution of Mycobacterium tuberculosis genotypes in Indonesia showed high genetic diversity and tended to vary by geographic regions. Drug susceptibility testing confirmed that the Beijing family of M.tb in Indonesia exhibited greater resistance to first line anti-TB drugs than did other families.

Indexed as

AdolescentAdultAgedAnti-Bacterial AgentsAntitubercular AgentsEthambutolFemaleGenetic VariationGenotypeHumansIndonesiaIsoniazidMaleMicrobial Sensitivity TestsMiddle AgedMolecular EpidemiologyAnti-Bacterial AgentsAntitubercular AgentsEthambutolIsoniazidRifampinStreptomycin

Identifiers

PMID26297576
PMCPMC4546281

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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.