Evidence map›Paper›PMID 31813958›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Clinical Impact of Rapid Drug Susceptibility Testing to Accompany Fluoroquinolone-Containing Universal Tuberculosis Regimens: A Markov Model.

Emily A Kendall, Shelly Malhotra, Sarah Cook-Scalise, David W Dowdy, Claudia M Denkinger

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

5 authors at 3 institutions in 3 countries.

Emily A KendallDivision of Infectious Diseases and Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Shelly MalhotraGlobal Alliance for Tuberculosis Drug Development, New York, New York, USA.
Sarah Cook-ScaliseGlobal Alliance for Tuberculosis Drug Development, New York, New York, USA.
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Claudia M DenkingerDivision of Tropical Medicine, Center of Infectious Disease, Heidelberg University, Heidelberg, Germany.
Johns Hopkins University · USTB Alliance · USFoundation for Innovative New Diagnostics · CH

Funding

Translational modeling of individual- and population-level outcomes of novel tuberculosis drug regimensK08AI127908 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KENDALL, EMILY A · 2017 to 2021
$879k
NIAID NIH HHS K08 AI127908
6 · The paper itself

Abstract

backgroundTo appropriately treat tuberculosis (TB) with regimens that combine novel and older drugs, evidence-based, context-specific strategies for drug-susceptibility testing (DST) will be required.

methodsWe created a Markov state-transition model of 100 000 adults with TB receiving a novel, fluoroquinolone (FQ)-containing regimen. We estimated clinical outcomes and resource utilization with no FQ-DST, universal FQ-DST, or FQ-DST only for patients with rifampin-resistant TB ("targeted FQ-DST"). We considered scenarios of stronger (South Africa) and weaker (Southeast Asia) correlation of fluoroquinolone resistance with rifampin resistance, with sensitivity analysis for other setting and regimen characteristics.

resultsRelative to no FQ-DST, targeted FQ-DST increased cure of FQ-resistant TB by 7.5% (interquartile range [IQR], 6.7%-9.2%) in South Africa and 1.7% (IQR, 0.7%-2.5%) in Southeast Asia. However, rare FQ resistance among the more prevalent rifampin-susceptible TB accounted for 50% of FQ-resistant TB in South Africa and 83% in Southeast Asia. As a result, universal FQ-DST further increased cure of FQ-resistant TB by 3.4% (IQR, 2.3%-5.4%) in South Africa and 5.8% (IQR, 5.1%-6.3%) in Southeast Asia. With targeted FQ-DST, 1 additional patient was cured per 50 (IQR, 42-70) tests in South Africa and 44 (IQR, 37-51) in Southeast Asia. When expanding from targeted to universal FQ-DST, 1 additional cure required 3500 (IQR, 2300-5500) tests in South Africa and 410 (IQR, 370-450) in Southeast Asia.

conclusionsFQ-DST improved patient outcomes and was particularly important for high-risk patient groups and less robust regimens. A universal strategy was favored in generalized epidemics of fluoroquinolone resistance.

Indexed as

Mycobacterium tuberculosisPharmaceutical PreparationsTuberculosisTuberculosis, Multidrug-ResistantAdultAntitubercular AgentsFluoroquinolonesHumansMicrobial Sensitivity TestsSouth AfricaAntitubercular AgentsFluoroquinolonesPharmaceutical Preparationsdrug susceptibility testingepidemiology of drug resistancefluoroquinolonesmodelingtuberculosis treatment

Identifiers

PMID31813958
PMCPMC7778354
OpenAlexW2994737263

What OpenQuestion holds

Textmetadata
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.