ArticlePharmacoEconomics2004
Pharmacogenomics and the evolution of healthcare : is it time for cost-effectiveness analysis at the individual level?
Article in PharmacoEconomics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Acknowledging patient heterogeneity in economic evaluation : a systematic literature review.PharmacoEconomics · 2013Pooled it
- Optimal assignment of treatments to health states using a Markov decision model: an introduction to basic concepts.PharmacoEconomics · 2006Article
- Do pharmacogenomic tests provide value to policy makers?PharmacoEconomics · 2006Article
- Does pharmacogenomics provide an ethical challenge to the utilisation of cost-effectiveness analysis by public health systems?PharmacoEconomics · 2005Article
- On pharmacogenomics and cost-effectiveness analysis at the individual level.PharmacoEconomics · 2005Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The efficacy and toxicity of any given drug can vary substantially from one individual to another. The heterogeneity in individual genetics contributes, in part, to this variability. Pharmacogenomics uses each patient's individual genetic information to identify the drug with the best efficacy-safety profile for that patient. However, heterogeneity is also present in individuals' preferences for alternate efficacy-safety profiles. We argue that as healthcare evolves towards individualised drug therapy, preference elicitation and cost-effectiveness analysis should also be performed at the individual level to maximise societal welfare.
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What OpenQuestion holds
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.