Evidence map›Paper›PMID 30406943›Full record

ReviewClinical pharmacology and therapeutics2019

Essential Characteristics of Pharmacogenomics Study Publications.

Caroline F Thorn, Michelle Whirl-Carrillo, Houda Hachad, Julie A Johnson, Ellen M McDonagh, Mark J Ratain, Mary V Relling, Stuart A Scott, Russ B Altman, Teri E Klein

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cancers · 2021
    Review
  9. 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

10 authors.

Caroline F ThornDepartment of Biomedical Data Sciences, Stanford University, Stanford, California, USA.
Michelle Whirl-CarrilloDepartment of Biomedical Data Sciences, Stanford University, Stanford, California, USA.
Houda HachadTranslational Software, Bellevue, Washington, USA.
Julie A JohnsonCollege of Pharmacy, University of Florida, Gainesville, Florida, USA.
Ellen M McDonaghGenomics England, Queen Mary University of London, London, UK.
Mark J RatainDepartment of Medicine, The University of Chicago, Chicago, Illinois, USA.
Mary V RellingPharmaceutical Department, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Stuart A ScottDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-5720-1864
Russ B AltmanDepartment of Genetics, Department of Computer Science, Department of Biomedical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0003-3859-2905
Teri E KleinDepartment of Biomedical Data Sciences, Stanford University, Stanford, California, USA.

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
PharmGKB: pharmacogenomics knowledge for precision medicineR24GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, KLEIN, TERI ELLEN · 2010 to 2018
$25.2M
THE STANFORD PHARMACOGENETICS KNOWLEDGE BASEU01GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2009
$24.0M
CPML - Project 3: Genome-wide Studies of Adverse EffectsP50GM115279 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI LOH, MIGNON LEE-CHEUN, RELLING, MARY V · 2015 to 2019
$15.1M
Clinical Pharmacogenetics Implementation Consortium (CPIC)U24HG010135 · NHGRI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CAUDLE, KELLY E., KLEIN, TERI ELLEN · 2018 to 2022
$5.4M
Clinical Pharmacogenetics Implementation Consortium (CPIC)R24GM115264 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI KLEIN, TERI ELLEN, RELLING, MARY V · 2015 to 2017
$3.6M
NCI NIH HHS P30 CA021765NHGRI NIH HHS U24 HG010135NIGMS NIH HHS P50 GM115279NIGMS NIH HHS R24 GM061374NIGMS NIH HHS R24 GM115264NIGMS NIH HHS U01 GM061374
6 · The paper itself

Abstract

Pharmacogenomics (PGx) can be seen as a model for biomedical studies: it includes all disease areas of interest and spans in vitro studies to clinical trials, while focusing on the relationships between genes and drugs and the resulting phenotypes. This review will examine different characteristics of PGx study publications and provide examples of excellence in framing PGx questions and reporting their resulting data in a way that maximizes the knowledge that can be built on them.

Indexed as

Periodicals as TopicTerminology as TopicHumansPharmacogeneticsTranslational Research, Biomedical

Identifiers

PMID30406943
PMCPMC6449845

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.