Evidence map›Paper›PMID 34393192›Full record

ArticleNursing research

Latent Class Analysis of Symptom Burden Among Seriously Ill Adults at the End of Life.

Komal P Murali, Gary Yu, John D Merriman, Allison Vorderstrasse, Amy S Kelley, Abraham A Brody

Open access · greenAbstract readComparative Study
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A Multidimensional Narrative Review of Disparities in Hospice Care Use.The American journal of hospice & palliative care · 2026
    Article
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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

6 authors at 3 institutions in 1 country.

American Academy of Nursing · USColumbia University · USNew York College of Health Professions · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Creation and demonstration of a palliative care research cooperative groupUC4NR012584 · NINR · DUKE UNIVERSITY · PI ABERNETHY, AMY P., KUTNER, JEAN S · 2010 to 2010
$7.2M
NRSA Training CoreTL1TR001447 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MICOLI, KEITH J. · 2015 to 2025
$5.9M
Systems Science and Comparative and Cost-Effectiveness Research Training for Nurse Scientists (S2CER2)T32NR014205 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Lusine Poghosyan, Jingjing Shang · 2013 to 2026
$4.2M
Project-003P20NR018072 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LARSON, ELAINE LUCILLE · 2018 to 2022
$1.9M
P20 Exploratory Center for Precision Health in Diverse PopulationsP20NR018075 · NINR · NEW YORK UNIVERSITY · PI VAUGHAN DICKSON, VICTORIA · 2018 to 2022
$1.9M
Midcareer Investigator Award for Patient-Oriented Research in Dementia and Serious IllnessK24AG062785 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KELLEY, AMY STEVES · 2019 to 2022
$581k
NCATS NIH HHS TL1 TR001447NCATS NIH HHS UL1 TR001445NIA NIH HHS K24 AG062785NINR NIH HHS P20 NR018072NINR NIH HHS P20 NR018075NINR NIH HHS T32 NR014205NINR NIH HHS UC4 NR012584
6 · The paper itself

Abstract

backgroundSerious illness is characterized by high symptom burden that negatively affects quality of life (QOL). Although palliative care research has highlighted symptom burden in seriously ill adults with cancer, symptom burden among those with noncancer serious illness and multiple chronic conditions has been understudied. Latent class analysis is a statistical method that can be used to better understand the relationship between severity of symptom burden and covariates, such as the presence of multiple chronic conditions. Although latent class analysis has been used to highlight subgroups of seriously ill adults with cancer based on symptom clusters, none have incorporated multiple chronic conditions.

objectivesThe objectives of this study were to (a) describe the demographic and baseline characteristics of seriously ill adults at the end of life in a palliative care cohort, (b) identify latent subgroups of seriously ill individuals based on severity of symptom burden, and (c) examine variables associated with latent subgroup membership, such as QOL, functional status, and the presence of multiple chronic conditions.

methodsA secondary data analysis of a palliative care clinical trial was conducted. The latent class analysis was based on the Edmonton Symptom Assessment System, which measures nine symptoms on a scale of 0-10 (e.g., pain, fatigue, nausea, depression, anxiousness, drowsiness, appetite, well-being, and shortness of breath). Clinically significant cut-points for symptom severity were used to categorize each symptom item in addition to a categorized total score.

resultsThree latent subgroups were identified (e.g., low, moderate, and high symptom burden). Lower overall QOL was associated with membership in the moderate and high symptom burden subgroups. Multiple chronic conditions were associated with statistically significant membership in the high symptom burden latent subgroup. Older adults between 65 and 74 years had a lower likelihood of moderate or high symptom burden subgroup membership compared to the low symptom burden class. DISCUSSION: Lower QOL was associated with high symptom burden. Multiple chronic conditions were associated with high symptom burden, which underlines the clinical complexity of serious illness. Palliative care at the end of life for seriously ill adults with high symptom burden must account for the presence of multiple chronic conditions.

Indexed as

AdultAgedAged, 80 and overAge FactorsChronic DiseaseCohort StudiesCross-Sectional StudiesFemaleHospice and Palliative Care NursingHumansLatent Class AnalysisMaleMiddle AgedSurveys and QuestionnairesSymptom AssessmentTerminal Care

Identifiers

PMID34393192
PMCPMC8563402
OpenAlexW3195633341

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.