Evidence map›Paper›PMID 37616318›Full record

ArticlePloS one2023

Determining cost and placement decisions for moderate complexity NAATs for tuberculosis drug susceptibility testing.

Akash Malhotra, Ryan Thompson, Margaretha De Vos, Anura David, Samuel Schumacher, Hojoon Sohn

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 4 countries.

Akash MalhotraDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID 0000-0002-9298-0936
Ryan ThompsonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Margaretha De VosFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.
Anura DavidUniversity of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0003-1590-198X
Samuel SchumacherWorld Health Organization (WHO), Geneva, Switzerland.
Hojoon SohnDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea.ORCID 0000-0001-5837-3844
Johns Hopkins University · USFIND · CHSeoul National University · KRUniversity of the Witwatersrand · ZAWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundAccess to drug resistant testing for tuberculosis (TB) remains a challenge in high burden countries. Recently, the World Health Organization approved the use of several moderate complexity automated nucleic acid amplification tests (MC-NAAT) that have performance profiles suitable for placement in a range of TB laboratory tiers to improve drug susceptibility tests (DST) coverage.

methodsWe conducted cost analysis of two MC-NAATs with different testing throughput: Lower Throughput (LT, < 24 tests per run) and Higher Throughput (HT, upto 90+ tests per run) for placement in a hypothetical laboratory in a resource limited setting. We used per-test cost as the main indicator to assess 1) drivers of cost by resource types and 2) optimized levels of annual testing volumes for the respective MC-NAATs.

resultsThe base-case per test cost of $18.52 (range: $13.79 - $40.70) for LT test and $15.37 (range: $9.61 - $37.40) for HT test. Per test cost estimates were most sensitive to the number of testing days per week, followed by equipment costs and TB-specific workloads. In general, HT NAATs were cheaper at all testing volume levels, but at lower testing volumes (less than 2,000 per year) LT tests can be cheaper if the durability of the testing system is markedly better and/or procured equipment costs are lower than that of HT NAAT.

conclusionAssuming equivalent performance and infrastructural needs, placement strategies for MC-NAATs need to be prioritized by laboratory system's operational factors, testing demands, and costs.

Indexed as

Cancer VaccinesMycobacterium tuberculosisTuberculosisCosts and Cost AnalysisHumansMicrobial Sensitivity TestsCancer Vaccines

Identifiers

PMID37616318
PMCPMC10449112
OpenAlexW4386127501

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.