Evidence map›Paper›PMID 39469318›Full record

ArticleJournal of pharmaceutical policy and practice2024

Cost-effectiveness analysis of genotype-guided optimization of major depression treatment in Qatar.

Dina Abushanab, Shaban Mohammed, Rania Abdel-Latif, Wadha Al-Muftah, Said I Ismail, Moza Al Hail, Wafa Al-Marridi, Oraib Abdallah, Noriya Al-Khuzaei, Asma Al-Thani and 1 more

Abstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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

11 authors.

Dina AbushanabPharmacy Department, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0002-4162-8617
Shaban MohammedPharmacy Department, Hamad Medical Corporation, Doha, Qatar.
Rania Abdel-LatifQatar Genome Program, Qatar Precision Health Institute, Qatar Foundation, Doha, Qatar.
Wadha Al-MuftahQatar Genome Program, Qatar Precision Health Institute, Qatar Foundation, Doha, Qatar.
Said I IsmailQatar Genome Program, Qatar Precision Health Institute, Qatar Foundation, Doha, Qatar.
Moza Al HailPharmacy Department, Hamad Medical Corporation, Doha, Qatar.
Wafa Al-MarridiCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Oraib AbdallahPharmacy Department, Mental Health Services, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0003-4180-4235
Noriya Al-KhuzaeiPharmacy Department, Mental Health Services, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0003-2748-4597
Asma Al-ThaniMedical and Health Sciences Office, Qatar University, Doha, Qatar.
Daoud Al-BadriyehCollege of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0001-7791-954X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pharmacogenetic testing improves the efficacy and safety of antidepressant pharmacotherapy for moderate-severe major depressive disorder by identifying genetic variations that influence medication metabolism, and adjusting treatment regimens accordingly. This study aims to assess the cost-effectiveness of implementing a pharmacogenetic testing approach to guide the prescription of antidepressants. Methods: From the public hospital perspective, we developed a two-stage decision tree diagram of a short-term 6-week follow up, and a lifetime Markov model with 3-month cycles. The analysis compared the current standard of care with the alternative strategy of Pharmacogenetic-guided (multi-gene panel) testing in adult patients with moderate-severe major depressive disorder. Clinical outcomes and utilities were obtained from published studies, while healthcare costs were locally available. The short-term incremental cost-effectiveness ratio was against treatment response without side effects and without relapse, and against treatment response with/without side effects and without relapse. The long-term incremental cost-effectiveness ratio was against the quality-adjusted life year gained and years of life saved. Results: Adopting the pharmacogenetic-guided therapy for adult patients with moderate-severe major depressive disorder in Qatar resulted in cost savings of Qatari Riyal 2,289 (95% confidence interval, -22,654-26,340) for the health system. In the short term, the pharmacogenetic-guided testing was associated with higher response rates without side effects and without relapse (mean difference 0.10, 95% confidence interval 0.09-0.15) and higher response rates with or without side effects and without relapse (mean difference 0.05, 95% confidence interval 0.04-0.06). For long term, the pharmacogenetic-guided testing resulted in 0.13 years of life saved and 0.06 quality-adjusted life year gained, per person, along with cost savings of Qatari Riyal 46,215 (95% confidence interval-15,744-101,758). The sensitivity analyses confirmed the robustness of the model results. Conclusion: Implementing pharmacogenetic testing to guide antidepressant use was found to improve population health outcomes, while also significantly reducing health system costs.

Indexed as

antidepressive agentscost-effectiveness analysisdepressive disorderPharmacogeneticsquality-adjusted life years

Identifiers

PMID39469318
PMCPMC11514395

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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.