Evidence map›Paper›PMID 35339423›Full record

ReviewEBioMedicine2022

Reimagining the status quo: How close are we to rapid sputum-free tuberculosis diagnostics for all?

Ruvandhi R Nathavitharana, Alberto L Garcia-Basteiro, Morten Ruhwald, Frank Cobelens, Grant Theron

Open access · goldAbstract readReview
In one paragraph

Review in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
10.1field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Cough biomarkers for diagnosis and monitoring of respiratory disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 6 countries.

Ruvandhi R NathavitharanaDivision of Infectious Diseases, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, USA.
Alberto L Garcia-BasteiroISGlobal, Hospital Clínic - Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saude de Manhiça, Maputo, Mozambique.
Morten RuhwaldFIND, the global alliance for diagnostics, Geneva, Switzerland.
Frank CobelensDepartment of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, Amsterdam, Netherlands.
Grant TheronDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa. Electronic address: gtheron@sun.ac.za.
Amsterdam Institute for Global Health and Development · NLBeth Israel Deaconess Medical Center · USFIND · CHManhiça Health Research Centre · MZSouth African Medical Research Council · ZA

Funding

Rapid Research for Diagnostics Development in TB Network (R2D2 TB Network)U01AI152087 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA, DENKINGER, CLAUDIA MARIA · 2020 to 2024
$19.3M
Optimizing Diagnostic Strategies for TB Transmission Control in Health-Care FacilitiesK23AI132648 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NATHAVITHARANA, RUVANDHI · 2018 to 2022
$945k
NIAID NIH HHS K23 AI132648NIAID NIH HHS U01 AI152087
6 · The paper itself

Abstract

Rapid, accurate, sputum-free tests for tuberculosis (TB) triage and confirmation are urgently needed to close the widening diagnostic gap. We summarise key technologies and review programmatic, systems, and resource issues that could affect the impact of diagnostics. Mid-to-early-stage technologies like artificial intelligence-based automated digital chest X-radiography and capillary blood point-of-care assays are particularly promising. Pitfalls in the diagnostic pipeline, included a lack of community-based tools. We outline how these technologies may complement one another within the context of the TB care cascade, help overturn current paradigms (eg, reducing syndromic triage reliance, permitting subclinical TB to be diagnosed), and expand options for extra-pulmonary TB. We review challenges such as the difficulty of detecting paucibacillary TB and the limitations of current reference standards, and discuss how researchers and developers can better design and evaluate assays to optimise programmatic uptake. Finally, we outline how leveraging the urgency and innovation applied to COVID-19 is critical to improving TB patients' diagnostic quality-of-care.

Indexed as

COVID-19Mycobacterium tuberculosisTuberculosisAntigens, BacterialArtificial IntelligenceHumansSputumAntigens, BacterialActive diseaseDiagnosisNon-sputumPoint-of-careTuberculosis

Identifiers

PMID35339423
PMCPMC9043971
OpenAlexW4220955221

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.