Evidence map›Paper›PMID 24236483›Full record

ReviewPharmacogenomics2013

Issues surrounding the health economic evaluation of genomic technologies.

James Buchanan, Sarah Wordsworth, Anna Schuh

Abstract readReview
In one paragraph

Review in Pharmacogenomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 6 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

64 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Are whole-exome and whole-genome sequencing approaches cost-effective? A systematic review of the literature.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Pooled it
  6. Pooled it
  7. Quantifying Downstream Healthcare Utilization in Studies of Genomic Testing.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Trial
  8. Article
  9. Review
  10. The value of large-scale programmes in human genomics.European journal of human genetics : EJHG · 2025
    Article
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  15. Article
  16. Review
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4 more citing papers are in PubMed but not listed here.

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

3 authors.

James BuchananHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, Oxfordshire, OX3 7LF, UK.
Sarah Wordsworth
Anna Schuh

Funding

Department of Health DRF-2011-04-021Wellcome TrustWellcome Trust 076113Wellcome Trust 085475Wellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

aimGenomic interventions could enable improved disease stratification and individually tailored therapies. However, they have had a limited impact on clinical practice to date due to a lack of evidence, particularly economic evidence. This is partly because health economists are yet to reach consensus on whether existing methods are sufficient to evaluate genomic technologies. As different approaches may produce conflicting adoption decisions, clarification is urgently required. This article summarizes the methodological issues associated with conducting economic evaluations of genomic interventions. MATERIALS &

methodsA structured literature review was conducted to identify references that considered the methodological challenges faced when conducting economic evaluations of genomic interventions.

resultsMethodological challenges related to the analytical approach included the choice of comparator, perspective and timeframe. Challenges in costing centered around the need to collect a broad range of costs, frequently, in a data-limited environment. Measuring outcomes is problematic as standard measures have limited applicability, however, alternative metrics (e.g., personal utility) are underdeveloped and alternative approaches (e.g., cost-benefit analysis) underused. Effectiveness data quality is weak and challenging to incorporate into standard economic analyses, while little is known about patient and clinician behavior in this context. Comprehensive value of information analyses are likely to be helpful.

conclusionEconomic evaluations of genomic technologies present a particular challenge for health economists. New methods may be required to resolve these issues, but the evidence to justify alternative approaches is yet to be produced. This should be the focus of future work in this field.

Indexed as

Cost-Benefit AnalysisGenomicsHumansTechnology

Identifiers

PMID24236483
PMCPMC3909837

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.