Evidence map›Paper›PMID 32279242›Full record

ArticleAging clinical and experimental research2021

Clustering of patients with end-stage chronic diseases by symptoms: a new approach to identify health needs.

Panaiotis Finamore, Martijn A Spruit, Jos M G A Schols, Raffaele Antonelli Incalzi, Emiel F M Wouters, Daisy J A Janssen

Abstract read
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In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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 3 countries.

Panaiotis FinamoreUnit of Geriatrics, Department of Medicine, Campus Bio-Medico University and Teaching Hospital, Via Alvaro del Portillo, 200, 00128, Rome, Italy. p.finamore@unicampus.it.
Martijn A SpruitDepartment of Research and Education, CIRO Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands.
Jos M G A ScholsDepartment of Health Services Research, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands.
Raffaele Antonelli IncalziUnit of Geriatrics, Department of Medicine, Campus Bio-Medico University and Teaching Hospital, Via Alvaro del Portillo, 200, 00128, Rome, Italy.
Emiel F M WoutersDepartment of Research and Education, CIRO Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands.
Daisy J A JanssenDepartment of Research and Education, CIRO Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands.
Ciro · NLMaastricht University Medical Centre · NLUniversità Campus Bio-Medico · IT

Funding

Netherlands Asthma Foundation, Leusden, The Netherlands Grant 3.4.06.082
6 · The paper itself

Abstract

backgroundEnd-stage chronic obstructive pulmonary disease (COPD), chronic heart failure (CHF) and chronic renal failure (CRF) are characterized by a high burden of daily symptoms that, irrespective of the primary organ failure, are widely shared.

aimsTo evaluate whether and to which extent symptom-based clusters of patients with end-stage COPD, CHF and CRF associate with patients' health status, mobility, care dependency and life-sustaining treatment preferences.

methods255 outpatients with a diagnosis of advanced COPD (n = 95), advanced CHF (n = 80) or CRF requiring dialysis (n = 80) were visited in their home environment and underwent a multidimensional assessment: clinical characteristics, symptom burden using Visual Analog Scale (VAS), health status questionnaires, timed "Up and Go" test, Care Dependency Scale and willingness to undergo mechanical ventilation or cardiopulmonary resuscitation. Three clusters were obtained applying K-means cluster analysis on symptoms' severity assessed via VAS. Cluster characteristics were compared using non-parametric tests.

resultsCluster 1 patients, with the least symptom burden, had a better quality of life, lower care dependency and were more willing to accept life-sustaining treatments than others. Cluster 2, with a high presence and severity of dyspnea, fatigue, cough, muscle weakness and mood problems, and Cluster 3, with the highest occurrence and severity of symptoms, reported similar care dependency and life-sustaining treatment preferences, while Cluster 3 reported the worst physical health status. DISCUSSION: Symptom-based clusters identify patients with different health needs and might help to develop palliative care programs.

conclusionClustering by symptoms identifies patients with different health status, care dependency and life-sustaining treatment preferences.

Indexed as

Heart FailurePulmonary Disease, Chronic ObstructiveChronic DiseaseCluster AnalysisHumansQuality of LifeChronic obstructive pulmonary diseaseChronic renal failureCluster analysisCongestive heart failureSymptoms

Identifiers

PMID32279242
OpenAlexW3015681450

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.