Evidence map›Paper›PMID 39717756›Full record

ArticleJournal of pain research2024

Catalyzing Pharmacogenomic Analysis for Informing Pain Treatment (C-PAIN): A Randomized Trial of Preemptive

Youngwoo Cho, Theodore Karrison, Matthew M Jack, Anish R Choksi, Randall W Knoebel, Kiang-Teck J Yeo, Samuel L Volchenboum, Russell Z Szmulewitz, Everett E Vokes, Mark J Ratain and 1 more

Abstract read
In one paragraph

Article in Journal of pain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

11 authors.

Youngwoo ChoCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Theodore KarrisonBiostatistics, Department of Health Service, University of Chicago, Chicago, IL, USA.
Matthew M JackCenter for Personalized Therapeutics, University of Chicago, Chicago, IL, USA.
Anish R ChoksiCenter for Personalized Therapeutics, University of Chicago, Chicago, IL, USA.ORCID 0009-0002-8957-2795
Randall W KnoebelCenter for Personalized Therapeutics, University of Chicago, Chicago, IL, USA.
Kiang-Teck J YeoCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.ORCID 0000-0002-4708-8420
Samuel L VolchenboumDepartment of Pediatrics, University of Chicago, Chicago, IL, USA.
Russell Z SzmulewitzCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Everett E VokesSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, IL, USA.
Mark J RatainCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Peter H O'DonnellCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.

Funding

CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
Pharmacogenomics to Catalyze Decision Support in Oncology CareR01HG012273 · NHGRI · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell · 2023 to 2026
$3.5M
NHGRI NIH HHS R01 HG012273NIGMS NIH HHS T32 GM007019
6 · The paper itself

Abstract

Background: Cancer patients frequently suffer from pain, often managed with opioids. However, undertreated pain remains a significant concern. Opioid effectiveness varies due to genetic differences in how individuals metabolize some of these medications. While prior research suggests promise in tailoring opioid prescriptions based on Methods: This is a randomized, prospective study to evaluate the effects of preemptive pharmacogenomic (PGx) testing on opioid dosing decisions/selections and composite pain score in oncology patients. Patients with metastatic solid tumors for whom near-future opioid therapy is anticipated will be randomized to PGx and control arms, stratified by the presence or absence of bony metastases and history of opioid use. In the PGx arm, patients will be preemptively tested using a panel of pharmacogenomic genetic variants, and providers will receive opioid dosing guidance via an electronic medical record-embedded clinical decision support tool. In the control arm, pain prescribing will occur per standard of care without genotype information. Planned Outcome: The primary study outcome will be composite pain intensity during the first 45 days after an index opioid prescription for codeine, tramadol, or hydrocodone. Safety will be assessed by comparing opioid-related adverse event rates between the two study arms. Secondary outcomes will include rates of hospitalization/emergency room visits, cumulative morphine equivalents received, and type of first opioid prescribed.

Indexed as

codeineCYP2D6genetic testinghydrocodonepain scorepharmacogenomicstramadol

Identifiers

PMID39717756
PMCPMC11664000

What Socratic holds

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Registered trials

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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 Socratic graph.