Evidence map›Paper›PMID 39840079›Full record

ArticleFrontiers in pharmacology2024

Cost-effectiveness of tyrosine kinase inhibitor treatment strategies for chronic myeloid leukemia in South Africa.

Rochelle Woudberg, Edina Sinanovic

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Rochelle WoudbergHealth Economics Unit, School of Public Health, University of Cape Town, Cape Town, South Africa.
Edina SinanovicHealth Economics Unit, School of Public Health, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The treatment of chronic myeloid leukemia through tyrosine kinase inhibitors (TKIs) has achieved promising efficacy and safety outcomes, however the costs are associated with a substantial economic burden. The objective of this study was to develop a Markov model with a 20-year time horizon to assess the cost effectiveness of TKIs from a public healthcare system perspective in South Africa. Methods: We constructed a Markov model to compare three strategies in which treatment was initiated with either imatinib, nilotinib, or dasatinib. Treatment was switched to another TKI in the case of intolerance or resistance to the initial TKI. Effectiveness and utility data were obtained from published literature. Cost data was obtained from local sources for generic imatinib and branded second-generation TKIs and based on national tariffs. Outcomes were reported in total costs and quality-adjusted life years (QALYs). Outcomes were based on calculated incremental cost effectiveness ratios (ICERs) and compared to a willingness-to-pay (WTP) threshold. Sensitivity analyses were conducted to determine the robustness of the model outcomes. Results: The base-case results showed that imatinib was favored over nilotinib and dasatinib by having the lowest cost at $120 719.55 and providing 5.93 QALYs. Compared to imatinib strategy, nilotinib had an ICER of $26 620.27 per QALY and dasatinib had an ICER of $35 934.94 per QALY, both exceeding the WTP threshold of $18 760 per QALY gained. The sensitivity analysis indicated the robustness of the results. Conclusion: Imatinib remains the most cost-effective first-line treatment for adults diagnosed with CML in South Africa, with a high probability of being cost-effective across a range of WTP thresholds. Nilotinib and Dasatinib, though offering clinical benefits, their affordability remains a challenge within the current healthcare system and should remain reserved for second-line treatment.

Indexed as

chronic myeloid leukemiacost-effectivenesseconomic evaluationSouth Africatyrosine kinase inhibitors

Identifiers

PMID39840079
PMCPMC11746066

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