Evidence map›Paper›PMID 17955345›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2007

Cluster analysis: a useful technique to identify elderly cardiac patients at risk for poor quality of life.

Yoshimi Fukuoka, Teri G Lindgren, Sally H Rankin, Bruce A Cooper, Diane L Carroll

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. Problem solving therapy for subthreshold depression in home healthcare patients with cardiovascular disease.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2010
    Trial
  6. Review
  7. A non-compensatory analysis of quality of life in breast cancer survivors using multivariate hidden Markov modeling.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
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  13. Quality of Life in Chronic Disease Patients.Health psychology research · 2013
    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

5 authors.

Yoshimi FukuokaSchool of Nursing, University of California San Francisco, San Francisco, CA 94143, USA. Yoshimi.Fukuoka@nursing.ucsf.edu
Teri G Lindgren
Sally H Rankin
Bruce A Cooper
Diane L Carroll

Funding

UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
NURSING RESEARCH TRAINING IN SYMPTOM MANAGEMENTT32NR007088 · NINR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, KATHRYN · 1996 to 2015
$7.5M
IMPROVING HEALTH OUTCOMES IN UNPARTNERED CARDIAC ELDERSR01NR005205 · NINR · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI RANKIN, SALLY HELLER · 2000 to 2003
$1.3M
NICHD NIH HHS 9 K12 HD052163-06NINR NIH HHS R01 NR005205NINR NIH HHS T32 NR07088
6 · The paper itself

Abstract

objectiveThe purposes of this study are (1) to examine the frequency of cardiac symptoms in elderly people one year after acute myocardial infarction (AMI) and/or coronary artery bypass surgery (CABG); (2) to identify patient subgroups (cluster solutions) based on cardiac symptoms after cardiac events and (3) to determine if these subgroups vary based on health related quality of life and psychological distress.

methodsA sample of 206 elderly, unpartnered, patients (age > or = 65) were interviewed one year after AMI and/or CABG by telephone. Cardiac symptoms, SF-36, POMS, and QOL-I were measured. A hierarchical cluster analysis was used to identify patient subgroups based on cardiac symptoms, using a combination of dendrograms and stopping rules.

resultsThree subgroups were identified: (1) the Weary (19.4%), (2) the Diffuse symptom (68.4%), and (3) the Breathless groups (12.2%). The Weary group had significantly lower scores on all of SF-36 subscales (except for social functioning) and higher scores on all of POMS subscales (except for Anger/hostility and Confusion/Bewilderment) compared to the Diffuse symptom group.

conclusionsThe cluster analysis was useful to identify the subgroup with poorer recovery. Patients in the Weary group need more attention and intervention strategies to improve their health.

Indexed as

Cardiovascular DiseasesCluster AnalysisAgedAged, 80 and overCoronary Artery BypassDepressionFemaleHealth StatusHumansInterviews as TopicMaleMyocardial InfarctionQuality of LifeStress, PsychologicalSurveys and QuestionnairesUnited States

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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.