Evidence map›Paper›PMID 36096903›Full record

ArticlePain management nursing : official journal of the American Society of Pain Management Nurses2023

Evaluating Associations between Average Pain Intensity and Genetic Variation in People with Sickle Cell Disease: An Exploratory Study.

Mitchell R Knisely, Qing Yang, Nic Stauffer, Martha Kenney, Allison Ashley-Koch, John Myers, Julia K L Walker, Paula J Tanabe, Nirmish R Shah

Open access · greenAbstract read
In one paragraph

Article in Pain management nursing : official journal of the American Society of Pain Management Nurses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

9 authors at 1 institution in 1 country.

Mitchell R KniselyDuke University School of Nursing, Durham, North Carolina. Electronic address: mitchell.knisely@duke.edu.
Qing YangDuke University School of Nursing, Durham, North Carolina.
Nic StaufferDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
Martha KenneyDepartment of Anesthesiology, Duke University School of Medicine, Durham, North Carolina.
Allison Ashley-KochDepartments of Medicine and Biostatistics and Bioinformatics, Duke Molecular Physiology Institute, Durham, North Carolina; Duke University School of Medicine, Durham, North Carolina.
John MyersDuke University School of Nursing, Durham, North Carolina.
Julia K L WalkerDuke University School of Nursing, Durham, North Carolina.
Paula J TanabeDuke University School of Nursing, Durham, North Carolina.
Nirmish R ShahDuke University School of Medicine, Durham, North Carolina.
Duke University · US

Funding

Improving SCD Care using Web-based Guidelines, Nurse Care Managers and Peer Mentors in Primary Care and Emergency Departments in Central North CarolinaU01HL133964 · NHLBI · DUKE UNIVERSITY · PI SHAH, NIRMISH R, TANABE, PAULA · 2016 to 2021
$4.8M
NHLBI NIH HHS U01 HL133964
6 · The paper itself

Abstract

backgroundPain is one of the most common and deleterious symptoms experienced by individuals with sickle cell disease (SCD). There is a paucity of studies identifying potential genetic mechanisms of pain in this population.

aimExamine associations between 11 functional single nucleotide polymorphisms in 9 candidate genes with reports of average pain intensity in individuals with sickle cell disease.

methodCross-sectional analyses were performed on data and blood samples collected through the Duke SCD Implementation Consortium Registry. Participants were asked to rate their pain "on the average" using an 11-point numeric rating scale (0 = no pain; 10 = pain as bad as you can imagine). We genotyped 11 single nucleotide polymorphisms in 9 pain-related genes using TaqMan® Genotyping Assays. Associations between each polymorphism and reports of average pain were evaluated.

resultsThe 86 participants (mean age: 28.7 years; 64% female) included in this study reported moderate pain on average (Mean = 4, Standard Deviation = 2.4). ICAM1 rs1799969 was the only genetic polymorphism that was significantly associated with pain (p = .01). Individuals with one or more minor alleles had lower average pain (Mean = 1.25, Standard Deviation = 1.50) than individuals without a minor allele (Mean = 4.13, Standard Deviation = 2.25). The effect size for ICAM1 rs1799969 was 1.30, which is considered large. The effect sizes for all other single nucleotide polymorphisms ranged from small to medium (range: 0-0.3).

conclusionsOur findings provide preliminary evidence that the minor allele in ICAM1 rs1799969 had protective effects against experiencing more severe pain in sickle cell disease.

Indexed as

Anemia, Sickle CellAdultCross-Sectional StudiesFemaleHumansMalePainPain MeasurementPolymorphism, Single Nucleotidegenetic variationpainpolymorphismssickle cell disease

Identifiers

PMID36096903
PMCPMC9925395
OpenAlexW4295300107

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.