Evidence map›Paper›PMID 34686230›Full record

ArticleThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2021

Advancing TB research using digitized programmatic data.

J Taaffe, J Croda, H Moultrie, D S Silva, A Rosenthal, M Farhat

Abstract read
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In one paragraph

Article in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

J TaaffeOffice of Cyber Infrastructure and Computational Biology, Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
J CrodaFederal University of Mato Grosso do Sul, Campo Grande, MS, Brazil, Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, NJ, USA, Oswaldo Cruz Foundation, Campo Grande, MS, Brazil.
H MoultrieNational Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa.
D S SilvaSydney Health Ethics, University of Sydney School of Public Health, Sydney, NSW, Australia.
A RosenthalOffice of Cyber Infrastructure and Computational Biology, Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
M FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, Division of Pulmonary and Critical Care, Massachusetts General Hospital, Boston, MA, USA.

Funding

NIH HHS HHSN316201300002C
6 · The paper itself

Abstract

The use of real-world data from national TB care programs has great potential to answer key research questions in TB control and is now opportune due to increasing digital data collection and storage. We summarize an expert stakeholder workshop conducted on this topic in October 2019, with perspectives from academics, national TB program officers, and data managers. We discuss challenges and opportunities in the use of TB programmatic data for research and describe digital data availability in two large, high TB burden countries, Brazil and South Africa. From this, we posit that with a standardized data collection set, improved data management, and greater collaboration, more TB programmatic data can be used for research with measurable public health impact.

Indexed as

TuberculosisBrazilHumansSouth Africa

Identifiers

PMID34686230
PMCPMC8544923

What OpenQuestion holds

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Registered trials

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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.