Evidence map›Paper›PMID 31265470›Full record

ArticlePloS one2019

Rapid, point-of-care diagnosis of tuberculosis with novel Truenat assay: Cost-effectiveness analysis for India's public sector.

David J Lee, Nagalingeswaran Kumarasamy, Stephen C Resch, Gomathi N Sivaramakrishnan, Kenneth H Mayer, Srikanth Tripathy, A David Paltiel, Kenneth A Freedberg, Krishna P Reddy

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Cost-effectiveness of TB diagnostic technologies in Ethiopia: a modelling study.Cost effectiveness and resource allocation : C/E · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

9 authors at 4 institutions in 2 countries.

David J LeeHarvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-0330-1824
Nagalingeswaran KumarasamyChennai Antiviral Research and Treatment Clinical Research Site, Voluntary Health Services, Chennai, India.
Stephen C ReschCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Gomathi N SivaramakrishnanNational Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0003-2629-074X
Kenneth H MayerHarvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0001-7460-733X
Srikanth TripathyNational Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0002-8363-2606
A David PaltielYale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-4861-3290
Kenneth A FreedbergHarvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0003-3143-7822
Krishna P ReddyHarvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-1832-2193
Harvard University · USNational Institute of Research in Tuberculosis · INBeth Israel Deaconess Medical Center · USVoluntary Health Services Hospital · IN

Funding

Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR01DA015612 · NIDA · STANFORD UNIVERSITY · PI OWENS, DOUGLAS K · 2002 to 2017
$9.4M
Novel Methods to Inform HIV/TB Clinical Trial DevelopmentR01AI093269 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI REDDY, KRISHNA P · 2011 to 2024
$6.8M
Optimizing HIV Care in Less Developed CountriesR37AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2018 to 2024
$6.6M
Novel Methods to Inform HIV/TB Clinical Trial DevelopmentR37AI093269 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI WALENSKY, ROCHELLE P. · 2015 to 2019
$3.8M
Novel approaches to the design and evaluation of combination HIV preventionR01MH105203 · NIMH · YALE UNIVERSITY · PI PALTIEL, A. DAVID · 2014 to 2018
$3.3M
Clinical and Economic Outcomes of HIV, Cigarette Smoking, and Smoking Cessation InterventionsK01DA042687 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI REDDY, KRISHNA P · 2016 to 2020
$929k
NIAID NIH HHS R01 AI058736NIAID NIH HHS R01 AI093269NIAID NIH HHS R37 AI058736NIAID NIH HHS R37 AI093269NIDA NIH HHS K01 DA042687NIDA NIH HHS R01 DA015612NIMH NIH HHS R01 MH105203
6 · The paper itself

Abstract

backgroundTruenat is a novel molecular assay that rapidly detects tuberculosis (TB) and rifampicin-resistance. Due to the portability of its battery-powered testing platform, it may be valuable in peripheral healthcare settings in India.

methodsUsing a microsimulation model, we compared four TB diagnostic strategies for HIV-negative adults with presumptive TB: (1) sputum smear microscopy in designated microscopy centers (DMCs) (SSM); (2) Xpert MTB/RIF in DMCs (Xpert); (3) Truenat in DMCs (Truenat DMC); and (4) Truenat for point-of-care testing in primary healthcare facilities (Truenat POC). We projected life expectancy, costs, incremental cost-effectiveness ratios (ICERs), and 5-year budget impact of deploying Truenat POC in India's public sector. We defined a strategy "cost-effective" if its ICER was <US$990/year-of-life saved (YLS). Model inputs included: TB prevalence, 15% (among those not previously treated for TB) and 27% (among those previously treated for TB); sensitivity for TB detection, 89% (Xpert) and 86% (Truenat); per test cost, $12.63 (Xpert) and $13.20 (Truenat); and linkage-to-care after diagnosis, 84% (DMC) and 95% (POC). We varied these parameters in sensitivity analyses.

resultsCompared to SSM, Truenat POC increased life expectancy by 0.39 years and was cost-effective (ICER $210/YLS). Compared to Xpert, Truenat POC increased life expectancy by 0.08 years due to improved linkage-to-care and was cost-effective (ICER $120/YLS). In sensitivity analysis, the cost-effectiveness of Truenat POC, relative to Xpert, depended on the diagnostic sensitivity of Truenat and linkage-to-care with Truenat. Deploying Truenat POC instead of Xpert increased 5-year expenditures by $270 million, due mostly to treatment costs. Limitations of our study include uncertainty in Truenat's sensitivity for TB and not accounting for the "start-up" costs of implementing Truenat in the field.

conclusionsUsed at the point-of-care in India, Truenat for TB diagnosis should improve linkage-to-care, increase life expectancy, and be cost-effective compared with smear microscopy or Xpert.

Indexed as

Cost-Benefit AnalysisDrug Resistance, BacterialAdultFemaleHealth Care CostsHIV InfectionsHumansIndiaMaleMicroscopyMycobacterium tuberculosisPoint-of-Care SystemsPublic SectorRifampinSputumTuberculosisRifampin

Identifiers

PMID31265470
PMCPMC6605662
OpenAlexW2953451547

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.