Evidence map›Paper›PMID 34265788›Full record

ArticleThe Clinical journal of pain2021

Severe Pain Profiles and Associated Sociodemographic and Clinical Characteristics in Individuals With Sickle Cell Disease.

Mitchell R Knisely, Paula J Tanabe, Qing Yang, Rita Masese, Meilin Jiang, Nirmish R Shah

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Article in The Clinical journal of pain, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mitchell R KniselyDuke University School of Nursing.
Paula J TanabeDuke University School of Nursing.
Qing YangDuke University School of Nursing.
Rita MaseseDuke University School of Nursing.
Meilin JiangDepartment of Biostatistics, University of Florida, Gainesville, FL.
Nirmish R ShahDuke University School of Nursing.

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
RE-aiming at Hydroxyurea Adherence for Sickle cell with mHealth (RE-HASH)U01HL133996 · NHLBI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HANKINS, JANE SILVA, KLESGES, LISA M · 2016 to 2021
$4.6M
NHLBI NIH HHS U01 HL133964NHLBI NIH HHS U01 HL133996
6 · The paper itself

Abstract

objectiveThe aim of this study was to identify classes of individuals with sickle cell disease (SCD) who share distinct severe pain profiles and evaluate differences in demographic, clinical, and psychosocial characteristics between classes.

methodsThis exploratory, cross-sectional study used data collected for the SCD Implementation Consortium Research Registry at Duke University. Using Adult Sickle Cell Quality of Life-Measurement System pain-item data from 291 adults with SCD, latent class analysis was used to determine classes of individuals sharing distinct severe pain profiles. Bivariate analyses and logistic regression models were used to assess the relationships between pain profile classes and demographic, clinical, and psychosocial characteristics.

resultsThree classes sharing distinct severe pain profiles were identified: Low Frequency and Impact class (n=73), Moderate Frequency and Impact class (n=94), and High Frequency and Impact class (n=124). When compared with the Low Frequency and Impact class and controlling for age and sex, individuals in the Moderate Frequency and Impact class were more likely to: be female (P=0.031) and unemployed (P=0.013); report worse sleep (P=0.005) and social functioning (P=0.005); have less emotional distress (P=0.004); describe pain as "sore" (P=0.002); and have previous SCD-related lung complications (P=0.016). When compared with the Low Frequency and Impact class, individuals in the High Frequency and Impact class: had worse social functioning (P<0.001) and previous SCD-related lung complications (P=0.006); described pain as "sore" (P<0.001); and were taking pain medication daily for SCD (P=0.001). DISCUSSION: Severe pain experiences in SCD are complex; however, there are subgroups of people who report similar experiences of severe pain.

Indexed as

Anemia, Sickle CellQuality of LifeCross-Sectional StudiesFemaleHumansPainSleep

Identifiers

PMID34265788
PMCPMC8373671

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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.