Evidence map›Paper›PMID 37623452›Full record

ReviewJournal of personalized medicine2023

Personalized Medicine in Cancer Pain Management.

Mohammad Raad, William Omar Contreras López, Alireza Sharafshah, Marjan Assefi, Kai-Uwe Lewandrowski

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. PGx-BasedCurrent neuropharmacology · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. A Comprehensive 4-layeredCurrent pharmaceutical biotechnology · 2025
    Article
  11. Current neuropharmacology · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Opioids in Cancer Pain Management: A Double-Edged Sword of Relief and Risk.Nigerian medical journal : journal of the Nigeria Medical Association
    Review
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 5 institutions in 4 countries.

Mohammad RaadDepartment of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA.ORCID 0000-0001-6530-3326
William Omar Contreras LópezNeurosurgeon Clinica Foscal Internacional, Bucaramanga 680006, Colombia.
Alireza SharafshahCellular and Molecular Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht 41937-1311, Iran.ORCID 0000-0001-8048-9587
Marjan AssefiUniversity of North Carolina, Greensboro, NC 27412, USA.
Kai-Uwe LewandrowskiCenter for Advanced Spine Care of Southern Arizona, Tucson, AZ 85712, USA.ORCID 0000-0001-7842-2914
Foscal Hospital · COGuilan University of Medical Sciences · IRHospital Universitário Gaffrée e Guinle · BRUniversity of New Hampshire · USUniversity of North Carolina at Greensboro · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have documented pain as an important concern for quality of life (QoL) and one of the most challenging manifestations for cancer patients. Thus, cancer pain management (CPM) plays a key role in treating pain related to cancer. The aim of this systematic review was to investigate CPM, with an emphasis on personalized medicine, and introduce new pharmacogenomics-based procedures for detecting and treating cancer pain patients.

methodsThis study systematically reviewed PubMed from 1990 to 2023 using keywords such as cancer, pain, and personalized medicine. A total of 597 publications were found, and after multiple filtering processes, 75 papers were included. In silico analyses were performed using the GeneCards, STRING-MODEL, miRTargetLink2, and PharmGKB databases.

resultsThe results reveal that recent reports have mainly focused on personalized medicine strategies for CPM, and pharmacogenomics-based data are rapidly being introduced. The literature review of the 75 highly relevant publications, combined with the bioinformatics results, identified a list of 57 evidence-based genes as the primary gene list for further personalized medicine approaches. The most frequently mentioned genes were CYP2D6, COMT, and OPRM1. Moreover, among the 127 variants identified through both the literature review and data mining in the PharmGKB database, 21 variants remain as potential candidates for whole-exome sequencing (WES) analysis. Interestingly, hsa-miR-34a-5p and hsa-miR-146a-5p were suggested as putative circulating biomarkers for cancer pain prognosis and diagnosis.

conclusionsIn conclusion, this study highlights personalized medicine as the most promising strategy in CPM, utilizing pharmacogenomics-based approaches to alleviate cancer pain.

Indexed as

cancercancer pain managementpainpersonalized medicinepharmacogenomicsvariant

Identifiers

PMID37623452
PMCPMC10455778
OpenAlexW4385341627

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.