Evidence map›Paper›PMID 31905381›Full record

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

Cost-effectiveness of a Pharmacogenomic Test for Stratified Isoniazid Dosing in Treatment of Active Tuberculosis.

Neil E Rens, Carin A Uyl-de Groot, Jeremy D Goldhaber-Fiebert, Julio Croda, Jason R Andrews

Open access · hybridAbstract 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 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 25% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. HBV/HCV coinfection and anti-tuberculosis drug-induced liver injury: from risk assessment and exploration of mechanisms to preventive considerations.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Precision Medicine Strategies to Improve Isoniazid Therapy in Patients with Tuberculosis.European journal of drug metabolism and pharmacokinetics · 2024
    Review
  10. A Nanopore Sequencing-based Pharmacogenomic Panel to Personalize Tuberculosis Drug Dosing.American journal of respiratory and critical care medicine · 2024
    Article
  11. Review
  12. Influence of sex on the exposure to isoniazid in patients with pulmonary tuberculosis.Revista do Instituto de Medicina Tropical de Sao Paulo · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. 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

5 authors at 4 institutions in 3 countries.

Neil E RensDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California, USA.
Carin A Uyl-de GrootErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Jeremy D Goldhaber-FiebertStanford Health Policy, Centers for Health Policy and Primary Care and Outcomes Research, Stanford, California, USA.
Julio CrodaDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, USA.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California, USA.
Stanford University · USErasmus University Rotterdam · NLFundação Oswaldo Cruz · BRStanford Health Care · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is marked interindividual variability in metabolism and resulting toxicity and effectiveness of drugs used for tuberculosis treatment. For isoniazid, mutations in the N-acetyltransferase 2 (NAT2) gene explain >88% of pharmacokinetic variability. However, weight-based dosing remains the norm globally. The potential clinical impact and cost-effectiveness of pharmacogenomic-guided therapy (PGT) are unknown.

methodsWe constructed a decision tree model to project lifetime costs and benefits of isoniazid PGT for drug-susceptible tuberculosis in Brazil, South Africa, and India. PGT was modeled to reduce isoniazid toxicity among slow NAT2 acetylators and reduce treatment failure among rapid acetylators. The genotyping test was assumed to cost the same as the GeneXpert test. The main outcomes were costs (2018 US dollars), quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios.

resultsIn Brazil, PGT gained 19 discounted life-years (23 QALYs) and cost $11 064 per 1000 patients, a value of $476 per QALY gained. In South Africa, PGT gained 15 life-years (19 QALYs) and cost $33 182 per 1000 patients, a value of $1780 per QALY gained. In India, PGT gained 20 life-years (24 QALYs) and cost $13 195 per 1000 patients, a value of $546 per QALY gained. One-way sensitivity analyses showed the cost-effectiveness to be robust to all input parameters. Probabilistic sensitivity analyses were below per capita gross domestic product in all 3 countries in 99% of simulations.

conclusionsIsoniazid PGT improves health outcomes and would be cost-effective in the treatment of drug-susceptible tuberculosis in Brazil, South Africa, and India.

Indexed as

Arylamine N-AcetyltransferaseTuberculosisBrazilCost-Benefit AnalysisHumansIndiaIsoniazidPharmacogeneticsQuality-Adjusted Life YearsSouth AfricaArylamine N-AcetyltransferaseIsoniazidNAT2 protein, humancost-effectivenessisoniazidpersonalized medicinepharmacogenomictuberculosis

Identifiers

PMID31905381
PMCPMC7819527
OpenAlexW3000546908

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.