Evidence map›Paper›PMID 33915886›Full record

ArticleJournal of personalized medicine2021

Risk Assessment for Heroin Use and Craving Score Using Polygenic Risk Score.

Chieh-Liang Huang, Ping-Ho Chen, Hsien-Yuan Lane, Ing-Kang Ho, Chia-Min Chung

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Pharmacogenetics of Addiction Therapy.Methods in molecular biology (Clifton, N.J.) · 2022
    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

5 authors at 3 institutions in 1 country.

Chieh-Liang HuangTsaotun Psychiatric Center, Ministry of Health and Welfare, Nan-Tou County 54249, Taiwan.
Ping-Ho ChenSchool of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Hsien-Yuan LaneDepartment of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung 40402, Taiwan.ORCID 0000-0003-2162-8174
Ing-Kang HoPh.D. Program for Aging, College of Medicine, China Medical University, Taichung 40402, Taiwan.
Chia-Min ChungGraduate Institute of Biomedical Sciences, China Medical University, Taichung 406040, Taiwan.
China Medical University · TWAsia University · TWNational Sun Yat-sen University · TW

Funding

China Medical University Hospital CMU107-Z-04Ministry of Health and Welfare MOHW105-NHI-S-114-000004
6 · The paper itself

Abstract

Addiction is characterized by drug-craving, compulsive drug-taking, and relapse, and results from the interaction between multiple genetic and environmental factors. Reward pathways play an important role in mediating drug-seeking and drug-taking behaviors, and relapse. The objective of this study was to identify heroin addicts who carry specific genetic variants in their dopaminergic reward systems. A total of 326 heroin-dependent patients undergoing methadone maintenance therapy (MMT) were recruited from the Addiction Center of the China Medical University Hospital. A heroin-use and craving questionnaire was used to evaluate the urge for heroin, the daily or weekly frequency of heroin usage, daily life disturbance, anxiety, and the ability to overcome heroin use. A general linear regression model was used to assess the associations of genetic polymorphisms in one's dopaminergic reward system with heroin-use and craving scores. Results: The most significant results were obtained for rs2240158 in

Indexed as

addictioncravinggenetic biomarkerheroin

Identifiers

PMID33915886
PMCPMC8066654
OpenAlexW3144134296

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.