Evidence map›Paper›PMID 36517736›Full record

SynthesisBMC infectious diseases2022

Impact of molecular diagnostic tests on diagnostic and treatment delays in tuberculosis: a systematic review and meta-analysis.

Jae Hyoung Lee, Tushar Garg, Jungsil Lee, Sean McGrath, Lori Rosman, Samuel G Schumacher, Andrea Benedetti, Zhi Zhen Qin, Genevieve Gore, Madhukar Pai and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Article
  8. Diagnostic Yield of Tongue Swab- Compared to Sputum-Based Molecular Testing for Tuberculosis in Four High-Burden Countries.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
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  11. Observational
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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

11 authors at 6 institutions in 6 countries.

Jae Hyoung Lee *Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA.
Tushar Garg *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Jungsil LeeLondon School of Hygiene & Tropical Medicine, London, UK.
Sean McGrathDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA.
Lori RosmanWelch Medical Library, John Hopkins University School of Medicine, Baltimore, USA.
Samuel G SchumacherFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Andrea BenedettiDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Zhi Zhen QinStop TB Partnership, Geneva, Switzerland.
Genevieve GoreSchulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Canada.
Madhukar PaiMcGill International TB Centre, McGill University, Montreal, Canada.
Hojoon SohnDepartment of Preventive Medicine, College of Medicine, Seoul National University, Seoul, South Korea. hsohn@snu.ac.kr.ORCID http://orcid.org/0000-0001-5837-3844
Johns Hopkins University · USMcGill University · CAFIND · CHHarvard University · USMcGill University Health Centre · CASeoul National University · KR

Funding

National Science Foundation Graduate Research Fellowship DGE1745303
6 · The paper itself

Abstract

backgroundCountries with high TB burden have expanded access to molecular diagnostic tests. However, their impact on reducing delays in TB diagnosis and treatment has not been assessed. Our primary aim was to summarize the quantitative evidence on the impact of nucleic acid amplification tests (NAAT) on diagnostic and treatment delays compared to that of the standard of care for drug-sensitive and drug-resistant tuberculosis (DS-TB and DR-TB).

methodsWe searched MEDLINE, EMBASE, Web of Science, and the Global Health databases (from their inception to October 12, 2020) and extracted time delay data for each test. We then analysed the diagnostic and treatment initiation delay separately for DS-TB and DR-TB by comparing smear vs Xpert for DS-TB and culture drug sensitivity testing (DST) vs line probe assay (LPA) for DR-TB. We conducted random effects meta-analyses of differences of the medians to quantify the difference in diagnostic and treatment initiation delay, and we investigated heterogeneity in effect estimates based on the period the test was used in, empiric treatment rate, HIV prevalence, healthcare level, and study design. We also evaluated methodological differences in assessing time delays.

resultsA total of 45 studies were included in this review (DS = 26; DR = 20). We found considerable heterogeneity in the definition and reporting of time delays across the studies. For DS-TB, the use of Xpert reduced diagnostic delay by 1.79 days (95% CI - 0.27 to 3.85) and treatment initiation delay by 2.55 days (95% CI 0.54-4.56) in comparison to sputum microscopy. For DR-TB, use of LPAs reduced diagnostic delay by 40.09 days (95% CI 26.82-53.37) and treatment initiation delay by 45.32 days (95% CI 30.27-60.37) in comparison to any culture DST methods.

conclusionsOur findings indicate that the use of World Health Organization recommended diagnostics for TB reduced delays in diagnosing and initiating TB treatment. Future studies evaluating performance and impact of diagnostics should consider reporting time delay estimates based on the standardized reporting framework.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryDelayed DiagnosisHumansPathology, MolecularRifampinSensitivity and SpecificityTime-to-TreatmentRifampinCommunicable diseasesGlobal HealthNucleic acid amplification testsPoint-of-Care Systems

Identifiers

PMID36517736
PMCPMC9748908
OpenAlexW4311493368

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.