Evidence map›Paper›PMID 33709084›Full record

ArticleEJHaem2020

Clusters of pain trajectories among patients with sickle cell disease hospitalized for vaso-occlusive crisis: a data-driven approach.

Angie Mae Rodday, Kimberly S Esham, Nicole Savidge, Susan K Parsons

Open access · diamondAbstract read
In one paragraph

Article in EJHaem, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Angie Mae RoddayThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA.
Kimberly S EshamDivision of Hematology/Oncology, Tufts Medical Center, Boston, MA.
Nicole SavidgeThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA.
Susan K ParsonsThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA.
Tufts Medical Center · US

Funding

CTSA Institutional Mentored Career Development Program (KL2)KL2TR002545 · NCATS · TUFTS UNIVERSITY BOSTON · PI FREUND, KAREN · 2018 to 2022
$5.0M
Identifying Pain Trajectories In Sickle Cell Disease Using Latent Class AnalysisR21MD011455 · NIMHD · TUFTS MEDICAL CENTER · PI RODDAY, ANGIE MAE · 2017 to 2018
$481k
NCATS NIH HHS KL2 TR002545NIMHD NIH HHS R21 MD011455
6 · The paper itself

Abstract

backgroundVaso-occlusive crises (VOC) are the hallmark of sickle cell disease (SCD), with higher severity among hospitalized patients. Clustering hospitalizations with similar pain trajectories could identify vulnerable patient subgroups. Aims were to (1) identify clusters of hospitalizations based on pain trajectories; (2) identify factors associated with these clusters; and (3) determine the association between these clusters and 30-day readmissions.

methodsWe retrospectively included 350 VOC hospitalizations from 2013-2016 among 59 patients. Finite mixture modeling identified clusters of hospitalizations from intercepts and slopes of pain trajectories during the hospitalization. Generalized estimating equations for multinomial and logistic models were used to identify factors associated with clusters of hospitalizations based on pain trajectories and 30-day readmissions, respectively, while accounting for multiple hospitalizations per patient.

resultsThree clusters of hospitalizations based on pain trajectories were identified: slow (n=99), moderate (n=207), and rapid (n=44) decrease in pain scores. In multivariable analysis, SCD complications, female gender, and affective disorders were associated with clusters with slow or moderate decrease in pain scores (compared to rapid decrease). Although univariate analysis found that the cluster with moderate decrease in pain scores was associated with lower odds of 30-day readmissions compared to the cluster with slow decrease, it was non-significant in multivariable analysis. SCD complications were associated with higher odds of 30-day readmissions and older age was associated with lower odds of 30-day readmissions.

conclusionsOur results highlight variability in pain trajectories among patients with SCD experiencing VOC and provide a novel approach for identifying subgroups of patients that could benefit from more intensive follow-up.

Indexed as

methodologysickle cell diseasestatistics

Identifiers

PMID33709084
PMCPMC7941740
OpenAlexW3094265249

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.