Evidence map›Paper›PMID 32708424›Full record

ReviewCancers2020

Genetics and Opioids: Towards More Appropriate Prescription in Cancer Pain.

Dario Bugada, Luca F Lorini, Roberto Fumagalli, Massimo Allegri

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Observational
  6. Review
  7. Diabetic neuropathy: cutting-edge research and future directions.Signal transduction and targeted therapy · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

4 authors at 3 institutions in 1 country.

Dario BugadaEmergency and Intensive Care Department, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.ORCID 0000-0002-8363-6674
Luca F LoriniEmergency and Intensive Care Department, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.ORCID 0000-0002-2711-3377
Roberto FumagalliSchool of Medicine and Surgery, University of Milan-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-0398-1329
Massimo AllegriItalian Pain Group.ORCID 0000-0002-8201-980X
Italian Oncology Group of Clinical Research · ITAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITOspedale Papa Giovanni XXIII · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opioids are extensively used in patients with cancer pain; despite their efficacy, several patients can experience ineffective analgesia and/or side effects. Pharmacogenetics is a new approach to drug prescription based on the "personalized-medicine" concept, i.e., the ability of tailoring treatments to each individual's genetic/genomic profile. Pharmacogenetics aims to identify specific genetic variants that influence pharmacokinetics and pharmacodynamics of drugs, better determining their effectiveness/safety profile. Opioid response is a complex scenario, but some gene variants have shown a correlation with pain sensitivity, as well as with opioid metabolism and clinical efficacy/adverse events. Although questions remain unanswered, some of these gene variants may already be used to identify specific patients' phenotypes that are more prone to experience better clinical response (i.e., better analgesia and/or less adverse events). Once adopted, this approach to opioid prescription may improve a patient's outcome. This review summarizes the available data on genetic variants and opioid response: we will focus on basic pharmacogenetic and its impact in the clinical scenario discussing how they may lead to more appropriate opioid prescription in cancer patients.

Indexed as

cancer paingeneticsgenomicsopioidspainpersonalized medicine

Identifiers

PMID32708424
PMCPMC7409018
OpenAlexW3042538327

What Socratic 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 Socratic graph.