Evidence map›Paper›PMID 32391397›Full record

ArticleERJ open research2020

Mobilising community networks for early identification of tuberculosis and treatment initiation in Cambodia: an evaluation of a seed-and-recruit model.

Alvin Kuo Jing Teo, Kiesha Prem, Sovannary Tuot, Chetra Ork, Sothearith Eng, Tripti Pande, Monyrath Chry, Li Yang Hsu, Siyan Yi

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 32% 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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

9 authors at 2 institutions in 4 countries.

Alvin Kuo Jing TeoSaw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore.ORCID https://orcid.org/0000-0002-0569-3518
Kiesha PremSaw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore.
Sovannary TuotKHANA Centre for Population Health Research, Phnom Penh, Cambodia.
Chetra OrkKHANA Centre for Population Health Research, Phnom Penh, Cambodia.
Sothearith EngKHANA Centre for Population Health Research, Phnom Penh, Cambodia.
Tripti PandeMcGill International TB Centre, Montreal, Canada.
Monyrath ChryCambodia Anti-Tuberculosis Association, Phnom Penh, Cambodia.
Li Yang HsuSaw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore.
Siyan YiSaw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore.
National University of Singapore · SGCambodia National Malaria Center · KH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe effects of active case finding (ACF) models that mobilise community networks for early identification and treatment of tuberculosis (TB) remain unknown. We investigated and compared the effect of community-based ACF using a seed-and-recruit model with one-off roving ACF and passive case finding (PCF) on the time to treatment initiation and identification of bacteriologically confirmed TB.

methodsIn this retrospective cohort study conducted in 12 operational districts in Cambodia, we assessed relationships between ACF models and: 1) the time to treatment initiation using Cox proportional hazards regression; and 2) the identification of bacteriologically confirmed TB using modified Poisson regression with robust sandwich variance.

resultsWe included 728 adults with TB, of whom 36% were identified

conclusionMobilising community networks to find TB cases was associated with early initiation of TB treatment in Cambodia. This approach was more likely to find bacteriologically confirmed TB cases, contributing to the reduction of risk of transmission within the community.

Identifiers

PMID32391397
PMCPMC7196668
OpenAlexW3023960617

What OpenQuestion holds

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LicenceCC BY-NC
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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.