Evidence map›Paper›PMID 34838141›Full record

SynthesisAddiction science & clinical practice2021

A systematic review of GWAS identified SNPs associated with outcomes of medications for opioid use disorder.

Caroul Chawar, Alannah Hillmer, Stephanie Sanger, Alessia D'Elia, Balpreet Panesar, Lucy Guan, Dave Xiaofei Xie, Nandini Bansal, Aamna Abdullah, Flavio Kapczinski and 3 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Addiction science & clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

13 authors at 3 institutions in 1 country.

Caroul ChawarNeuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.
Alannah HillmerNeuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.
Stephanie SangerHealth Sciences Library, McMaster University, Hamilton, ON, Canada.
Alessia D'EliaNeuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.
Balpreet PanesarNeuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.
Lucy GuanDepartment of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada.
Dave Xiaofei XieDepartment of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada.
Nandini BansalDepartment of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada.
Aamna AbdullahDepartment of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada.
Flavio KapczinskiDepartment of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada.
Guillaume ParePopulation Health Research Institute, Hamilton, ON, Canada.
Lehana ThabanePopulation Health Research Institute, Hamilton, ON, Canada.
Zainab SamaanDepartment of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada. samaanz@mcmaster.ca.ORCID 0000-0002-5974-9361
St. Joseph’s Healthcare Hamilton · CAMcMaster University · CAPopulation Health Research Institute · CA

Funding

CIHR PJT-156306
6 · The paper itself

Abstract

backgroundPatients with opioid use disorder (OUD) display an interindividual variability in their response to medications for opioid use disorder (MOUD). A genetic basis may explain the variability in this response. However, no consensus has been reached regarding which genetic variants significantly contribute to MOUD outcomes.

objectivesThis systematic review aims to summarize genome-wide significant findings on MOUD outcomes and critically appraise the quality of the studies involved.

methodsDatabases searched from inception until August 21st, 2020 include: MEDLINE, Web of Science, EMBASE, CINAHL and Pre-CINAHL, GWAS Catalog and GWAS Central. The included studies had to be GWASs that assessed MOUD in an OUD population. All studies were screened in duplicate. The quality of the included studies was scored and assessed using the Q-Genie tool. Quantitative analysis, as planned in the protocol, was not feasible, so the studies were analyzed qualitatively.

resultsOur search identified 7292 studies. Five studies meeting the eligibility criteria were included. However, only three studies reported results that met our significance threshold of p ≤ 1.0 × 10 LIMITATIONS: The limitations of this study include not being able to synthesize the data in a quantitative way and a conservative eligibility and data collection model.

conclusionThe results from this systematic review will aid in highlighting significant genetic variants that can be replicated in future OUD pharmacogenetics research to ascertain their role in patient-specific MOUD outcomes. Systematic review registration number CRD42020169121.

Indexed as

BuprenorphineOpioid-Related DisordersCalcium-Calmodulin-Dependent Protein KinasesEye ProteinsGenome-Wide Association StudyHumansMethadoneOpiate Substitution TreatmentPolymorphism, Single NucleotideBuprenorphineCalcium-Calmodulin-Dependent Protein KinasesEye ProteinsEYS protein, humanMethadoneTRIB2 protein, humanGWASMethadoneMOUDOpioidPharmacogeneticSystematic review

Identifiers

PMID34838141
PMCPMC8627063
OpenAlexW3217065390

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.