Evidence map›Paper›PMID 41597459›Full record

ReviewMedicina (Kaunas, Lithuania)2026

Pharmacogenomics and Opioid Efficacy in Sickle Cell Disease.

Rabab H Elshaikh, Asaad M Babker, Sanaa Elfatih Hussein, Khalid Abdelsamea Mohamed Ahmed, Ashok Kumar Sah, Ayman Hussein Alfeel

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Rabab H ElshaikhMedical Laboratory Sciences Department, College of Health and Applied Sciences, A' Sharqiyah University, Ibra 400, Oman.ORCID 0000-0003-0973-8661
Asaad M BabkerDepartment of Medical Laboratory Sciences, College of Health Sciences, Gulf Medical University, Ajman 4184, United Arab Emirates.ORCID 0000-0002-5022-5676
Sanaa Elfatih HusseinDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakakah 72388, Saudi Arabia.
Khalid Abdelsamea Mohamed AhmedDepartment of Medical Laboratory Sciences, Jerash University, Jerash 26150, Jordan.ORCID 0000-0001-7084-6106
Ashok Kumar SahMedical Laboratory Sciences Department, College of Health and Applied Sciences, A' Sharqiyah University, Ibra 400, Oman.ORCID 0000-0002-7762-4351
Ayman Hussein AlfeelDepartment of Medical Laboratory Sciences, College of Health Sciences, Gulf Medical University, Ajman 4184, United Arab Emirates.ORCID 0000-0002-5426-2204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of genetic variation in sickle cell patients plays a significant role in opioid therapy individual response and pain management. This review aims to provide a comprehensive overview of the importance of exploring genetic variability and its impact on pain management in patients with sickle cell disease. It also explores opioid therapy variability and opioid Safety. With respect to literature, the polymorphisms in the key metabolic enzymes CYP2D6, UGT2B7, and COMT, as well as variations in the

Indexed as

Analgesics, OpioidAnemia, Sickle CellPharmacogeneticsCatechol O-MethyltransferaseCytochrome P-450 CYP2D6GlucuronosyltransferaseHumansPainPain ManagementReceptors, Opioid, muAnalgesics, OpioidCatechol O-MethyltransferaseCOMT protein, humanCytochrome P-450 CYP2D6GlucuronosyltransferaseOPRM1 protein, humanReceptors, Opioid, muUGT2B7 protein, humangenetic variantsopioid efficacypain managementpharmacogenomicssickle cell disease

Identifiers

PMID41597459
PMCPMC12843607

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.