Evidence map›Paper›PMID 36794692›Full record

ArticleThe Journal of antimicrobial chemotherapy2023

Hollow-fibre system model of tuberculosis reproducibility and performance specifications for best practice in drug and combination therapy development.

Tawanda Gumbo, Shashikant Srivastava, Devyani Deshpande, Jotam G Pasipanodya, Alexander Berg, Klaus Romero, David Hermann, Debra Hanna

Open access · hybridAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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  8. Eradication of Drug-TolerantMicroorganisms · 2023
    Review
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

8 authors at 5 institutions in 1 country.

Tawanda GumboHollow Fiber System & Experimental Therapeutics Laboratories, Praedicare Inc, Dallas, TX, USA.ORCID 0000-0001-7592-8012
Shashikant SrivastavaHollow Fiber System & Experimental Therapeutics Laboratories, Praedicare Inc, Dallas, TX, USA.
Devyani DeshpandeCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA.
Jotam G PasipanodyaQuantitative Preclinical and Clinical Sciences Department, Praedicare Inc, Dallas, TX, USA.
Alexander BergCognigen Division, Simulations Plus, Inc., Buffalo, NY, USA.
Klaus RomeroCritical Path Institute, Tucson, AZ, USA.
David HermannBill and Melinda Gates Foundation, Seattle, WA, USA.
Debra HannaBill and Melinda Gates Foundation, Seattle, WA, USA.
Baylor University Medical Center · USGates Foundation · USCritical Path Institute · USSimulations Plus (United States) · USThe University of Texas Health Science Center at Tyler · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hollow-fibre system model of tuberculosis (HFS-TB) has been endorsed by regulators; however, application of HFS-TB requires a thorough understanding of intra- and inter-team variability, statistical power and quality controls.

methodsThree teams evaluated regimens matching those in the Rapid Evaluation of Moxifloxacin in Tuberculosis (REMoxTB) study, plus two high-dose rifampicin/pyrazinamide/moxifloxacin regimens, administered daily for up to 28 or 56 days against Mycobacterium tuberculosis (Mtb) under log-phase growth, intracellular growth or semidormant growth under acidic conditions. Target inoculum and pharmacokinetic parameters were pre-specified, and the accuracy and bias at achieving these calculated using percent coefficient of variation (%CV) at each sampling point and two-way analysis of variance (ANOVA).

resultsA total of 10 530 individual drug concentrations, and 1026 individual cfu counts were measured. The accuracy in achieving intended inoculum was >98%, and >88% for pharmacokinetic exposures. The 95% CI for the bias crossed zero in all cases. ANOVA revealed that the team effect accounted for <1% of variation in log10 cfu/mL at each timepoint. The %CV in kill slopes for each regimen and different Mtb metabolic populations was 5.10% (95% CI: 3.36%-6.85%). All REMoxTB arms exhibited nearly identical kill slopes whereas high dose regimens were 33% faster. Sample size analysis revealed that at least three replicate HFS-TB units are needed to identify >20% difference in slope, with a power of >99%.

conclusionsHFS-TB is a highly tractable tool for choosing combination regimens with little variability between teams, and between replicates.

Indexed as

Mycobacterium tuberculosisTuberculosisAntitubercular AgentsDrug Therapy, CombinationHumansModels, BiologicalMoxifloxacinReproducibility of ResultsAntitubercular AgentsMoxifloxacin

Identifiers

PMID36794692
PMCPMC10068422
OpenAlexW4321003611

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.