ArticlePharmacoEconomics2020
Transferability of Economic Evaluations of Treatments for Advanced Melanoma.
Article in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effectiveness and cost of integrating pharmacists within general practice to optimize prescribing and health outcomes in primary care patients with polypharmacy: a systematic review.BMC primary care · 2023Pooled it
- Cost-Utility of Nivolumab Plus Ipilimumab in First-Line Treatment of Advanced Melanoma in the United States: An Analysis Using Long-Term Overall Survival Data from Checkmate 067.PharmacoEconomics - open · 2022Article
- Cost transferability problems in economic evaluation as a framework for an European health care and social costs database.Cost effectiveness and resource allocation : C/E · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiffering methodological requirements and decision-making criteria are recognised as barriers to transferability of cost-effectiveness analysis (CEA) across jurisdictions.
objectiveWe assessed the generic and specific transferability of published CEAs of systemic treatments for advanced melanoma to the Irish setting.
methodsCEAs of treatments for melanoma were identified by systematic review. Transferability to the Irish setting was assessed using the EUnetHTA transferability tool for Economic Evaluation. We present a narrative discussion comparing the differences in key parameter inputs and the likely impact of these differences on the model outcomes and the reimbursement recommendation. Transferability is considered within the context of the Irish cost-effectiveness threshold, using the net monetary benefit (NMB) framework.
resultsNo published CEAs (n = 15) aligned with the Irish reference case for CEA. Changes to key parameters were unlikely to change the conclusions of the CEA when the cost-effectiveness threshold was considered. Ten studies (19 pairwise comparisons) were compared with findings by the National Centre for Pharmacoeconomics (NCPE) using NMB. Without accounting for differences in the cost-effectiveness threshold, there was alignment between the study conclusions and NCPE recommendations in 73.7% cases. When the Irish cost-effectiveness threshold was applied in the estimation of NMB, there was agreement in 89.5% of cases.
conclusionsAlignment in methodological requirements for CEA is important to facilitate joint health technology assessment (HTA) by regional collaborations in Europe. When parameter inputs are not exactly aligned, conclusions may still be comparable across jurisdictions. For international joint procurement initiatives, determining and implementing joint decision rules may be more important than trying to align rules regarding methodological and parameter inputs.
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Registered trials
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.