Evidence map›Paper›PMID 24367667›Full record

ArticlePloS one2013

Molecular epidemiology of Mycobacterium tuberculosis complex in Singapore, 2006-2012.

Leo Kang-Yang Lim, Li Hwei Sng, Wah Win, Cynthia Bin-Eng Chee, Li Yang Hsu, Estelle Mak, Arul Earnest, Marcus Eng-Hock Ong, Jeffery Cutter, Yee Tang Wang

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Whole genome sequencing analysis of multidrug-resistant tuberculosis in Singapore, 2006-2018.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  4. Review
  5. Article
  6. Article
  7. 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

10 authors.

Leo Kang-Yang LimSingapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Singapore, Singapore.
Li Hwei SngDepartment of Pathology, Singapore General Hospital, Singapore, Singapore.
Wah WinCentre for Infectious Diseases Epidemiology and Research, Saw Swee Hock School of Public Health, Singapore, Singapore.
Cynthia Bin-Eng CheeSingapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Singapore, Singapore.
Li Yang HsuDepartment of Pathology, Singapore General Hospital, Singapore, Singapore ; Centre for Infectious Diseases Epidemiology and Research, Saw Swee Hock School of Public Health, Singapore, Singapore.
Estelle MakDepartment of Pathology, Singapore General Hospital, Singapore, Singapore.
Arul EarnestCentre for Infectious Diseases Epidemiology and Research, Saw Swee Hock School of Public Health, Singapore, Singapore ; Centre for Quantitative Medicine, Graduate Medical School, Singapore, Singapore.
Marcus Eng-Hock OngCentre for Infectious Diseases Epidemiology and Research, Saw Swee Hock School of Public Health, Singapore, Singapore ; Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Jeffery CutterMinistry of Health, Singapore, Singapore.
Yee Tang WangSingapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis remains common in Singapore, increasing in incidence since 2008. We attempted to determine the molecular epidemiology of Mycobacterium tuberculosis complex (MTC) isolates locally, identifying major circulating genotypes and obtaining a glimpse of transmission dynamics. METHODOLOGY: Non-duplicate MTC isolates archived between 2006 and 2012 at the larger clinical tuberculosis laboratory in Singapore were sampled for spoligotyping and MIRU-VNTR typing, with case data obtained from the Singapore Tuberculosis Elimination Program registry database. Isolates between 2008 and 2012 were selected because of either multidrug-resistance or potential epidemiological linkage, whereas earlier isolates were randomly selected. Separate analyses were performed for the early (2006-2007) and later (2008-2012) study phases in view of potential selection bias. PRINCIPAL

findingsA total of 1,612 MTC isolates were typed, constituting 13.1% of all culture-positive tuberculosis cases during this period. Multidrug-resistance was present in 91 (5.6%) isolates - higher than the national prevalence in view of selection bias. The majority of isolates belonged to the Beijing (45.8%) and EAI (22.8%) lineages. There were 347 (30.7%) and 133 (27.5%) cases clustered by combined spoligotyping and MIRU-VNTR typing from the earlier and later phases respectively. Patients within these clusters tended to be of Chinese ethnicity, Singapore resident, and have isolates belonging to the Beijing lineage. A review of prior contact investigation results for all patients with clustered isolates failed to reveal epidemiological links for the majority, suggesting either unknown transmission networks or inadequate specificity of the molecular typing methods in a country with a moderate incidence of tuberculosis.

conclusionOur work demonstrates that Singapore has a large and heterogeneous distribution of MTC strains, and with possible cross-transmission over the past few years based on our molecular typing results. A universal MTC typing program coupled with enhanced contact investigations may be useful in further understanding the transmission dynamics of tuberculosis locally.

Indexed as

AdolescentAdultChildChild, PreschoolFemaleHumansInfant, NewbornMaleMiddle AgedMolecular EpidemiologyMycobacterium tuberculosisSingaporeTuberculosisYoung Adult

Identifiers

PMID24367667
PMCPMC3867517

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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.