Evidence map›Paper›PMID 26030725›Full record

ReviewGenetics research2015

Pharmacogenomic and pharmacogenetic-guided therapy as a tool in precision medicine: current state and factors impacting acceptance by stakeholders.

Gregory P Hess, Eileen Fonseca, Rachel Scott, Jesen Fagerness

Abstract readReview
In one paragraph

Review in Genetics research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Development and application of a computable genotype model in the GA4GH Variation Representation Specification.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Application of pharmacogenetics in clinical practice: problems and solutions.Journal of neural transmission (Vienna, Austria : 1996) · 2019
    Review
  17. Article
  18. Article
  19. Precision pharmacology for Alzheimer's disease.Pharmacological research · 2018
    Review
  20. 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

4 authors.

Gregory P HessSymphony Health Solutions,Horsham,PA,USA.
Eileen FonsecaIndependent Researcher,Harleysville,PA,USA.
Rachel ScottGenomind, Inc.,King of Prussia,PA,USA.
Jesen FagernessGenomind, Inc.,King of Prussia,PA,USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenetic/pharmacogenomic (PGx) testing is currently available for a wide range of health problems including cardiovascular disease, cancer, diabetes, autoimmune disorders, mental health disorders and infectious diseases. PGx contributes important information to the field of precision medicine by clarifying appropriate treatments for specific disease subtypes. Tangible benefits to patients including improved outcomes and reduced total health care costs have been observed. However, PGx-guided therapy faces many barriers to full integration into clinical practice and acceptance by stakeholders, whether practitioner, patient or payer. Each stakeholder has a unique perspective on the role of PGx testing, although all are similarly challenged with demonstrating or appraising its cost-to-benefit value. Coverage by insurers is a critical step in achieving widespread adoption of PGx testing. The acceleration of adoption of precision medicine in general and for PGx testing in particular will be determined by how quickly robust evidence can be accumulated that shows a return on investment for payers in terms of real dollars, for clinicians in terms of patient clinical responses, and for patients in terms of economic, health and quality of life outcomes. Trends in PGx testing utilization and uptake by payers in real-world practice are discussed; the role of pharmacoeconomics in assessing cost-effectiveness is highlighted using a case study in psychiatric care, and several issues that will affect adoption of PGx testing in the United States (US) over the next few years are reviewed.

Indexed as

Cost-Benefit AnalysisGenetic Predisposition to DiseaseGenetic TestingHumansOutcome Assessment, Health CarePatient Care ManagementPharmacogeneticsPrecision Medicine

Identifiers

PMID26030725
PMCPMC6863636

What OpenQuestion holds

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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.