Evidence map›Paper›PMID 30616539›Full record

ArticleBMC infectious diseases2019

Mycobacterium tuberculosis transmission in an ethnically-diverse high incidence region in England, 2007-11.

Emilia Vynnycky, Adrienne R Keen, Jason T Evans, Shaina Khanom, Peter M Hawkey, Richard G White, Ibrahim Abubakar

Abstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Emilia VynnyckyStatistics, Modelling and Economics Department, 61 Colindale Avenue, Colindale, London, NW9 5HT, UK. Emilia.vynnycky@phe.gov.uk.ORCID http://orcid.org/0000-0002-8019-1059
Adrienne R KeenStatistics, Modelling and Economics Department, 61 Colindale Avenue, Colindale, London, NW9 5HT, UK.
Jason T EvansPHE West Midlands Public Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Shaina KhanomPHE West Midlands Public Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Peter M HawkeyQueen Elizabeth Hospital, Birmingham, B15 2TH, UK.
Richard G WhiteTB Modelling Group, Centre for Mathematical Modelling of Infectious Diseases, TB Centre and Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Ibrahim AbubakarInstitute of Microbiology and Infection, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

Funding

Medical Research Council MR/P002404/1
6 · The paper itself

Abstract

backgroundTransmission patterns in high tuberculosis incidence areas in England are poorly understood but need elucidating to focus contact tracing. We study transmission within and between age, ethnic and immigrant groups using molecular data from the high incidence West Midlands region.

methodsIsolates from culture-confirmed tuberculosis cases during 2007-2011 were typed using 24-locus Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeats (MIRU-VNTR). We estimated the proportion of disease attributable to recent transmission, calculated the proportion of isolates matching those from the two preceding years ("retrospectively clustered"), and identified risk factors for retrospective clustering using multivariate analyses. We calculated the ratio (RCR) between the observed and expected proportion clustered retrospectively within or between age, ethnic and immigrant groups.

resultsOf the 2159 available genotypes (79% of culture-confirmed cases), 34% were attributed to recent transmission. The percentage retrospectively clustered decreased from 50 to 24% for 0-14 and ≥ 65 year olds respectively (p = 0.01) and was significantly lower for immigrants than the UK-born. Higher than expected clustering occurred within 15-24 year olds (RCR: 1.4 (95% CI: 1.1-1.8)), several ethnic groups, and between UK-born or long-term immigrants with the UK-born (RCR: 1.8 (95% CI: 1.1-2.4) and 1.6 (95% CI: 1.2-1.9) respectively).

conclusionsThis study is the first to consider "who clusters with whom" in a high incidence area in England, laying the foundation for future whole-genome sequencing work. The higher than expected clustering seen here suggests that preferential mixing between some age, ethnic and immigrant groups occurs; prioritising contact tracing to groups with which cases are most likely to cluster retrospectively could improve TB control.

Indexed as

AdolescentAdultAgedChildChild, PreschoolCluster AnalysisEmigrants and ImmigrantsEnglandEthnicityFemaleGenotypeHumansIncidenceInfantInfant, NewbornMaleClusteringContact patternsEnglandMIRU-VNTRTransmissionTuberculosisWest midlands

Identifiers

PMID30616539
PMCPMC6323781

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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.