Evidence map›Paper›PMID 26515675›Full record

ReviewLancet (London, England)2015

Turning off the tap: stopping tuberculosis transmission through active case-finding and prompt effective treatment.

Courtney M Yuen, Farhana Amanullah, Ashwin Dharmadhikari, Edward A Nardell, James A Seddon, Irina Vasilyeva, Yanlin Zhao, Salmaan Keshavjee, Mercedes C Becerra

Abstract readReview
In one paragraph

Review in Lancet (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 5 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

120 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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60 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Courtney M YuenBrigham and Women's Hospital, Boston, MA, USA.
Farhana AmanullahIndus Hospital Research Center, Karachi, Pakistan.
Ashwin DharmadhikariBrigham and Women's Hospital, Boston, MA, USA.
Edward A NardellBrigham and Women's Hospital, Boston, MA, USA.
James A SeddonImperial College London, London, UK.
Irina VasilyevaRussian Academy of Medical Sciences, Moscow, Russia.
Yanlin ZhaoChinese Centre for Disease Control and Prevention, Beijing, China.
Salmaan KeshavjeeHarvard Medical School, Boston, MA, USA.
Mercedes C BecerraHarvard Medical School, Boston, MA, USA. Electronic address: Mercedes_Becerra@hms.harvard.edu.

Funding

Effect of HIV Infection on Pulmonary MDR-TB Transmission and VirulenceK23AI084548 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI DHARMADHIKARI, ASHWIN S. · 2009 to 2013
$682k
NIAID NIH HHS K23 AI084548
6 · The paper itself

Abstract

To halt the global tuberculosis epidemic, transmission must be stopped to prevent new infections and new cases. Identification of individuals with tuberculosis and prompt initiation of effective treatment to rapidly render them non-infectious is crucial to this task. However, in settings of high tuberculosis burden, active case-finding is often not implemented, resulting in long delays in diagnosis and treatment. A range of strategies to find cases and ensure prompt and correct treatment have been shown to be effective in high tuberculosis-burden settings. The population-level effect of targeted active case-finding on reducing tuberculosis incidence has been shown by studies and projected by mathematical modelling. The inclusion of targeted active case-finding in a comprehensive epidemic-control strategy for tuberculosis should contribute substantially to a decrease in tuberculosis incidence.

Indexed as

Cross InfectionEarly DiagnosisHumansMass ScreeningSecondary PreventionTranslational Research, BiomedicalTuberculosis

Identifiers

PMID26515675
PMCPMC7138065

What OpenQuestion holds

Textmetadata
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.