Evidence map›Paper›PMID 34266845›Full record

ArticleBMJ open2021

Cross-sectional study of prevalence and risk factors, and a cost-effectiveness evaluation of screening and preventive treatment strategies for latent tuberculosis among migrants in Singapore.

Vanessa W Lim, Hwee Lin Wee, Phoebe Lee, Yijun Lin, Yi Roe Tan, Mei Xuan Tan, Lydia Wenxin Lin, Peiling Yap, Cynthia Be Chee, Timothy Barkham and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Vanessa W LimInfectious Disease Research and Training Office, National Centre for Infectious Diseases, Singapore.
Hwee Lin WeeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Phoebe LeeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Yijun LinSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Yi Roe TanInfectious Disease Research and Training Office, National Centre for Infectious Diseases, Singapore.
Mei Xuan TanInfectious Disease Research and Training Office, National Centre for Infectious Diseases, Singapore.
Lydia Wenxin LinSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Peiling YapInfectious Disease Research and Training Office, National Centre for Infectious Diseases, Singapore.
Cynthia Be CheeTuberculosis Control Unit, Singapore TB Elimination Programme, Singapore.
Timothy BarkhamDepartment of Laboratory Medicine, Tan Tock Seng Hospital, Singapore.ORCID 0000-0003-0975-2244
Vernon LeeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Mark ChenInfectious Disease Research and Training Office, National Centre for Infectious Diseases, Singapore mark_ic_chen@ncid.sg.ORCID 0000-0001-9369-5830
Rick Twee-Hee OngSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
National Centre for Infectious Diseases · SGMinistry of Health · SGNational University of Singapore · SGTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWHO recommends that low burden countries consider systematic screening and treatment of latent tuberculosis infection (LTBI) in migrants from high incidence countries. We aimed to determine LTBI prevalence and risk factors and evaluate cost-effectiveness of screening and treating LTBI in migrants to Singapore from a government payer perspective.

designCross-sectional study and cost-effectiveness analysis.

settingMigrants in Singapore.

participants3618 migrants who were between 20 and 50 years old, have not worked in Singapore previously and stayed in Singapore for less than a year were recruited. PRIMARY AND SECONDARY OUTCOME MEASURES: Costs, quality-adjusted life-years (QALYs), threshold length of stay, incremental cost-effectiveness ratios (ICERs), cost per active TB case averted.

resultsOf 3584 migrants surveyed, 20.4% had positive interferon-gamma release assay (IGRA) results, with the highest positivity in Filipinos (33.2%). Higher LTBI prevalence was significantly associated with age, marital status and past TB exposure. The cost-effectiveness model projected an ICER of S$57 116 per QALY and S$12 422 per active TB case averted for screening and treating LTBI with 3 months once weekly isoniazid and rifapentine combination regimen treatment compared with no screening over a 50-year time horizon. ICER was most sensitive to the cohort's length of stay in Singapore, yearly disease progression rates from LTBI to active TB, followed by the cost of IGRA testing.

conclusionsFor LTBI screening and treatment of migrants to be cost-effective, migrants from high burden countries would have to stay in Singapore for ~50 years. Risk-stratified approaches based on projected length of stay and country of origin and/or age group can be considered.

Indexed as

Latent TuberculosisTransients and MigrantsAdultCost-Benefit AnalysisCross-Sectional StudiesHumansMass ScreeningMiddle AgedPrevalenceRisk FactorsSingaporeTuberculin TestYoung Adulthealth economicspublic healthtuberculosis

Identifiers

PMID34266845
PMCPMC8286773
OpenAlexW3181110805

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.