Evidence map›Paper›PMID 40373037›Full record

ArticlePloS one2025

Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry.

Martha O Kenney, Samuel Wilson, Morgan Rosser, Sophie Lanzkron, Julie Kanter, Susan Padrino, Payal Desai, Deepa Manwani, Alice Cohen, Stephanie Guarino and 3 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Martha O KenneyDepartment of Anesthesiology, Division of Pediatric Anesthesiology, Duke University Medical Center, Durham, North Carolina, United States of America.ORCID 0000-0002-0079-2488
Samuel WilsonDepartment of Medicine, Division of Hematology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America.
Morgan RosserDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina, United States of America.
Sophie LanzkronDepartment of Medicine, Division of Hematology, Thomas Jefferson University, Philadelphia, Maryland, United States of America.
Julie KanterDivision of Hematology and Oncology, University of Alabama, Birmingham, Alabama, United States of America.ORCID 0000-0001-7002-8891
Susan PadrinoSchool of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America.
Payal DesaiLevin Cancer Institute, Atrium Health, Charlotte, North Carolina, United States of America.
Deepa ManwaniDepartment of Pediatrics, Albert Einstein College of Medicine and the Children's Hospital at Montefiore (CHAM), Bronx, New York, United States of America.
Alice CohenNewark Beth Israel Medical Center, Newark, New Jersey, United States of America.
Stephanie GuarinoDepartment of Medicine, ChristinaCare, Wilmington, Delaware, United States of America.
Ward HagarDepartment of Pediatrics, UCSF Benioff Children's Hospital, Oakland, California, United States of America.
Joshua FieldDepartment of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Jane LittleDepartment of Medicine, Division of Hematology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America.

Funding

Predictors of Pain Severity and Pain-Related Outcomes in Individuals with Sickle Cell DiseaseK01HL169339 · NHLBI · DUKE UNIVERSITY · PI KENNEY, MARTHA OBENG · 2023 to 2024
$271k
NHLBI NIH HHS K01 HL169339
6 · The paper itself

Abstract

Sickle cell disease (SCD) affects millions of individuals worldwide, and is characterized by both acute, episodic pain and chronic, persistent pain. Despite the significant burden of the disease, clinicians continue to face significant challenges in treating SCD pain due to variability in pain experiences. The objectives of this study were (1) to identify distinct pain subgroups based on demographic and biopsychosocial characteristics and (2) to evaluate the relationship between the subgroups and pain impact - a SCD-disease specific measure of pain interference. To achieve these objectives, we performed a hierarchical cluster analysis on a cross-sectional sample of adults with SCD who are enrolled in the Globin Research Network Data and Discovery (GRNDaD) registry. Five hundred thirty-two participants (61% females and 64% with chronic pain) were included in the analysis. Six distinct subgroups were identified, 3 with chronic pain (Clusters 1-3) and 3 without chronic pain (Clusters 4-6). Despite differences in biological markers of disease severity such as genotype, hemoglobin and fetal hemoglobin percentage, chronic pain subgroups had comparable odds of reporting worse pain impact, suggesting that chronic pain has a disproportionate influence on SCD pain when compared to other factors. Longitudinal studies are needed to further validate these findings and to determine how these pain subgroups may change. Overall, our findings indicate that understanding and preventing chronic pain in SCD must be a top priority to improve the quality of life of those living with SCD.

Indexed as

Anemia, Sickle CellChronic PainPainAdultCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedPain MeasurementRegistriesSeverity of Illness IndexYoung Adult

Identifiers

PMID40373037
PMCPMC12080796

What OpenQuestion holds

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Registered trials

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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.