Evidence map›Paper›PMID 23837482›Full record

ReviewPharmacogenomics2013

Pharmacogenomics in early-phase clinical development.

Tal Burt, Savita Dhillon

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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Pharmacogenomics in clinical trials: an overview.Frontiers in pharmacology · 2023
    Article
  6. In silico pharmacology · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Drug-Placebo Additivity in Randomized Clinical Trials.Clinical pharmacology and therapeutics · 2019
    Article
  18. Review
  19. Pharmacogenetics and Psychiatric Care: A Review and Commentary.Journal of mental health & clinical psychology · 2018
    Article
  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

2 authors.

Tal BurtDuke Global Proof-of-Concept (POC) Research Network, Duke Clinical Research Unit (DCRU) & Duke Clinical Research Institute (DCRI), Duke University, Durham, NC 27710, USA. tal.burt@duke.edu
Savita Dhillon

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Duke CTSA (Composite)KL2TR001115 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, KRAFT, MONICA · 2013 to 2017
$5.1M
NCATS NIH HHS KL2 TR001115NCATS NIH HHS UL1 TR001117
6 · The paper itself

Abstract

Pharmacogenomics (PGx) offers the promise of utilizing genetic fingerprints to predict individual responses to drugs in terms of safety, efficacy and pharmacokinetics. Early-phase clinical trial PGx applications can identify human genome variations that are meaningful to study design, selection of participants, allocation of resources and clinical research ethics. Results can inform later-phase study design and pipeline developmental decisions. Nevertheless, our review of the clinicaltrials.gov database demonstrates that PGx is rarely used by drug developers. Of the total 323 trials that included PGx as an outcome, 80% have been conducted by academic institutions after initial regulatory approval. Barriers for the application of PGx are discussed. We propose a framework for the role of PGx in early-phase drug development and recommend PGx be universally considered in study design, result interpretation and hypothesis generation for later-phase studies, but PGx results from underpowered studies should not be used by themselves to terminate drug-development programs.

Indexed as

PharmacogeneticsAntineoplastic AgentsClinical Trials as TopicDatabases, FactualDose-Response Relationship, DrugGenome, HumanGenome-Wide Association StudyHumansNeoplasmsPolymorphism, Single NucleotideAntineoplastic Agents

Identifiers

PMID23837482
PMCPMC4551460

What OpenQuestion holds

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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.