Evidence map›Paper›PMID 31085105›Full record

ReviewSeminars in oncology nursing2019

Genetic Variants Associated with Cancer Pain and Response to Opioid Analgesics: Implications for Precision Pain Management.

Gee Su Yang, Natalie M Barnes, Debra E Lyon, Susan G Dorsey

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in oncology nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
  7. Article
  8. Pain associated with breast cancer: etiologies and therapies.Frontiers in pain research (Lausanne, Switzerland) · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. 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 2 institutions in 1 country.

Gee Su YangUniversity of Florida College of Nursing, Gainesville, FL. Electronic address: gyang1@ufl.edu.
Natalie M BarnesUniversity of Florida College of Nursing, Gainesville, FL.
Debra E LyonUniversity of Florida College of Nursing, Gainesville, FL.
Susan G DorseyUniversity of Maryland School of Nursing, Department of Pain and Translational Symptom Science, Baltimore, MD. Electronic address: sdorsey@umaryland.edu.
University of Florida · USUniversity of Maryland, Baltimore · US

Funding

Pilot Projects CoreP30NR016579 · NINR · UNIVERSITY OF MARYLAND BALTIMORE · PI RESNICK, BARBARA · 2016 to 2020
$2.7M
Biopsychosocial Correlates of Aromatase Inhibitor-Associated Musculoskeletal Symptoms in Breast CancerF32NR018367 · NINR · UNIVERSITY OF FLORIDA · PI YANG, GEE SU · 2018 to 2020
$110k
NINR NIH HHS F32 NR018367NINR NIH HHS P30 NR016579
6 · The paper itself

Abstract

objectiveTo review the current knowledge on the association of genetic variants with cancer pain. DATA SOURCES: Data-based publications and review articles retrieved from PubMed, CINAHL, and Web of Science, as well as an additional search in Google Scholar.

conclusionGenetic variability can influence differential pain perception and response to opioids in cancer patients, which will have implications in the optimal personalized treatment of cancer pain. More studies are warranted to replicate findings. IMPLICATIONS FOR NURSING PRACTICE: Nurses are poised to educate patients on biomarker testing and interpretation and to use precision pain management strategies based on this information.

Indexed as

Genetic VariationPrecision MedicineAnalgesics, OpioidCancer PainHumansNeoplasmsPain ManagementAnalgesics, OpioidBiomarkerCancerGenetic polymorphismGenetic variantPainPrecision medicine

Identifiers

PMID31085105
PMCPMC6688486
OpenAlexW2944207029

What OpenQuestion holds

Textmetadata
LicenceTDM
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.