Evidence map›Paper›PMID 33824430›Full record

ArticleThe pharmacogenomics journal2021

Cost-effectiveness analysis of genotyping for HLA-B*15:02 in Indonesian patients with epilepsy using a generic model.

Rika Yuliwulandari, Jae Gook Shin, Erna Kristin, Fransiscus D Suyatna, Iwan Dwi Prahasto, Kinasih Prayuni, Surakameth Mahasirimongkol, Larisa H Cavallari, Christina Mitropoulou, George P Patrinos and 3 more

Open access · greenAbstract read
In one paragraph

Article in The pharmacogenomics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
2.3field-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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Genetic Determinants inJournal of personalized medicine · 2021
    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

13 authors at 10 institutions in 7 countries.

Rika YuliwulandariDepartment of Pharmacology, Faculty of Medicine, YARSI University, Jakarta Pusat, Indonesia. rika.yuliwulandari@yarsi.ac.id.ORCID http://orcid.org/0000-0003-1682-6280
Jae Gook ShinDepartment of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.
Erna KristinDepartment of Pharmacology and Therapy, Faculty of Medicine, Gadjah Mada University, Yogyakarta, Indonesia.
Fransiscus D SuyatnaDepartment of Pharmacology & Therapeutic, Faculty of Medicine, Universitas Indonesia, Jakarta Pusat, Indonesia.
Iwan Dwi PrahastoDepartment of Pharmacology and Therapy, Faculty of Medicine, Gadjah Mada University, Yogyakarta, Indonesia.
Kinasih PrayuniGenetic Research Center, YARSI Research Institute, YARSI University, Jakarta Pusat, Indonesia.
Surakameth MahasirimongkolMedical Genetics Section, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand.
Larisa H CavallariDepartment of Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-7184-5292
Christina MitropoulouThe Golden Helix Foundation, London, UK.ORCID http://orcid.org/0000-0002-9184-4668
George P PatrinosDepartment of Pharmacy, University of Patras, Patras, Greece.
Jing HaoDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
Marc S WilliamsGenomic Medicine Institute, Geisinger, Danville, PA, USA.ORCID http://orcid.org/0000-0001-6165-8701
Susan R SnyderHealth Policy & Behavioral Sciences, Georgia State University, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-2802-144X
Universitas Gadjah Mada · IDYarsi University · IDGeisinger Health System · USGeorgia State University · USGolden Helix Foundation · GBInje University · KRMinistry of Public Health · THUniversity of Florida · USUniversity of Indonesia · IDUniversity of Patras · GR

Funding

Sparking Advancements in Genomic MedicineU01HG007269 · NHGRI · UNIVERSITY OF FLORIDA · PI CAVALLARI, LARISA HUMMA, JOHNSON, JULIE A. · 2013 to 2024
$17.0M
NHGRI NIH HHS U01 HG007269
6 · The paper itself

Abstract

Carbamazepine (CBZ)-induced Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS/TEN) are strongly associated with the HLA-B*15:02 allele. Screening HLA-B*15:02 before CBZ administration might prevent CBZ-induced SJS/TEN by enabling clinicians to prescribe alternative therapy for positive patients. Similar to other Southeastern Asian countries, HLA-B*15:02 is highly prevalent in Indonesia. Therefore, we assessed the economic value of HLA-B*15:02 screening before CBZ prescription to patients with epilepsy in Indonesia. A generic cost-effectiveness model and decision support tool, developed to enable users to perform an initial cost-effectiveness analysis from a healthcare provider/payer perspective, were used to assess the value of HLA-B*15:02 genotyping. The incremental cost-effectiveness ratio of adopting universal HLA-B*15:02 screening was 656,444,671 Indonesian Rupiah (IDR)/quality-adjusted life year (QALY) gained for patients compared with 2,634,975,574 IDR/QALY gained for providing valproic acid (alternative drug) without screening. Thus, neither HLA-B*15:02 screening nor substitution with VPA meets the Indonesian threshold for cost effectiveness. However, the improved outcomes with this test in other Asian countries may inform the desirability of implementation in Indonesia even with suboptimal cost-effectiveness.

Indexed as

AdultAllelesAnticonvulsantsAsian PeopleCarbamazepineCost-Benefit AnalysisEpilepsyFemaleGenetic Predisposition to DiseaseGenetic TestingGenotypeHLA-B15 AntigenHumansIndonesiaMaleQuality-Adjusted Life YearsAnticonvulsantsCarbamazepineHLA-B15 Antigen

Identifiers

PMID33824430
PMCPMC9059703
OpenAlexW3143629048

What OpenQuestion holds

Textmetadata
LicenceTDM
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.