Evidence map›Paper›PMID 38727894›Full record

ArticleJournal of nephrology2024

Characterization of CKD illness representation profiles using patient-level factors.

Eleanor Rivera, Nathan Tintle, Raymond R Townsend, Mahboob Rahman, Sarah J Schrauben, Maya N Clark-Cutaia, Mary Hannan, James P Lash, Katherine Wolfrum, Celestin Missikpode and 1 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of nephrology, 2024. 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

11 authors.

Eleanor RiveraUniversity of Illinois Chicago, Chicago, IL, USA. sriver25@uic.edu.ORCID 0000-0002-3111-0611
Nathan TintleUniversity of Illinois Chicago, Chicago, IL, USA.
Raymond R TownsendUniversity of Pennsylvania, Philadelphia, PA, USA.
Mahboob RahmanCase Western Reserve University, Cleveland, OH, USA.
Sarah J SchraubenUniversity of Pennsylvania, Philadelphia, PA, USA.
Maya N Clark-CutaiaSchool of Nursing, Hunter Bellevue, New York, USA.
Mary HannanUniversity of Illinois Chicago, Chicago, IL, USA.
James P LashUniversity of Illinois Chicago, Chicago, IL, USA.
Katherine WolfrumUniversity of Pennsylvania, Philadelphia, PA, USA.
Celestin MissikpodeUniversity of Illinois Chicago, Chicago, IL, USA.
Karen B HirschmanUniversity of Pennsylvania, Philadelphia, PA, USA.

Funding

Individualized Care for At Risk Older AdultsT32NR009356 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Lauren M Massimo, MARY D NAYLOR · 2007 to 2026
$7.8M
Res-Ed ComponentP30AG059302 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Rachel M Werner, Allison Willis · 2018 to 2026
$6.4M
Health Disparities in Chronic Kidney Disease Mentoring ProgramK24DK092290 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LASH, JAMES P. · 2012 to 2022
$1.9M
A Mixed Methods Study of Chronic Kidney Disease (CKD) Self-ManagementK23DK118198 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SCHRAUBEN, SARAH JEANNE · 2019 to 2023
$1.0M
NIA NIH HHS P30AG059302NIDDK NIH HHS K23 DK118198NIDDK NIH HHS K24-DK092290NINR NIH HHS T32NR009356
6 · The paper itself

Abstract

backgroundIllness perceptions are the unique perspective individuals have on their illness, based on their context and experiences, and are associated with patient outcomes including coping and adherence. The purpose of this study was to explore characteristics that may be driving membership in illness perceptions cluster groups for adults with chronic kidney disease (CKD).

methodsThis study was conducted within the multicenter longitudinal Chronic Renal Insufficiency Cohort (CRIC) Study. Cross-sectional data were collected and combined with CRIC data. Illness perceptions were measured using the Revised Illness Perception Questionnaire. Clustering analysis was conducted in R, and bivariate analysis including linear regression was performed in STATA 16.

resultsThe sample (n = 197) had a mean age of 68, was 52% women, 53% non-White, and mean estimated glomerular filtration rate (eGFR) 56 ml/min/1.73 m

conclusionsIllness perceptions groups are associated with number of hospitalization days but are independent of many patient characteristics. Illness perceptions data could be used to tailor care for specific patients at risk for poor health outcomes.

Indexed as

Health Knowledge, Attitudes, PracticeRenal Insufficiency, ChronicAgedCluster AnalysisCost of IllnessCross-Sectional StudiesFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedPerceptionSurveys and QuestionnairesAdherenceChronic kidney diseaseCluster analysisIllness perceptionPatient reported outcomes

Identifiers

PMID38727894

What OpenQuestion holds

Textmetadata
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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.