Evidence map›Paper›PMID 31819591›Full record

ReviewPharmacogenomics and personalized medicine2019

Malik Mumtaz Taqi, Muhammad Faisal, Hadar Zaman

Open access · goldAbstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. The Rise of Fentanyl: Molecular Aspects and Forensic Investigations.International journal of molecular sciences · 2025
    Review
  13. Article
  14. Review
  15. Receptor Pharmacogenomics: Deciphering Genetic Influence on Drug Response.International journal of molecular sciences · 2024
    Review
  16. The Skin-Brain Axis: From UV and Pigmentation to Behaviour Modulation.International journal of molecular sciences · 2024
    Review
  17. Review
  18. Neural Network Connectivity Following Opioid Dependence is Altered by a Common Genetic Variant in the µ-Opioid Receptor,The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  19. Review
  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

3 authors at 2 institutions in 2 countries.

Malik Mumtaz TaqiDivision of Mental Health and Addiction, University of Oslo, Oslo, Norway.
Muhammad FaisalFaculty of Health Studies, University of Bradford, Bradford, UK.ORCID 0000-0003-4885-4251
Hadar ZamanSchool of Pharmacy and Medical Sciences, Faculty of Life Sciences, University of Bradford, Bradford, UK.ORCID 0000-0002-4252-2822
University of Bradford · GBUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemic of opioid addiction is shaping up as the most serious clinical issues of current times. Opioids have the greatest propensity to develop addiction after first exposure. Molecular, genetic variations, epigenetic alterations, and environmental factors are also implicated in the development of opioid addiction. Genetic and epigenetic variations in candidate genes have been identified for their associations with opioid addiction.

Indexed as

epigenetic and genetic variantsopioid addictionpersonalized medicinepharmacotherapies

Identifiers

PMID31819591
PMCPMC6885558
OpenAlexW2990773355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.