Evidence map›Paper›PMID 33568120›Full record

ArticleHealth and quality of life outcomes2021

Phenotypes of adults with congenital heart disease around the globe: a cluster analysis.

Edward Callus, Silvana Pagliuca, Sara Boveri, Federico Ambrogi, Koen Luyckx, Adrienne H Kovacs, Silke Apers, Werner Budts, Junko Enomoto, Maayke A Sluman and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Health and quality of life outcomes, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Observational
  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

30 authors.

Edward CallusClinical Psychology Service, IRCCS Policlinico San Donato, Milan, Italy.
Silvana PagliucaClinical Psychology Service, IRCCS Policlinico San Donato, Milan, Italy.
Sara BoveriScientific Directorate, IRCCS Policlinico San Donato, Milan, Italy.
Federico AmbrogiDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Koen LuyckxKU Leuven School Psychology and Development in Context, KU Leuven, Leuven, Belgium.
Adrienne H KovacsPeter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Canada.
Silke ApersKU Leuven Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35, Box 7001, 3000, Leuven, Belgium.
Werner BudtsDivision of Congenital and Structural Cardiology, University Hospitals Leuven, Leuven, Belgium.
Junko EnomotoDepartment of Education, Toyo University, Tokyo, Japan.
Maayke A SlumanCoronel Institute of Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Jou-Kou WangDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Jamie L JacksonCenter for Biobehavioral Health, Nationwide Children's Hospital, Columbus, OH, USA.
Paul KhairyAdult Congenital Heart Center, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Stephen C CookAdult Congenital Heart Disease Center, Helen DeVos Children's Hospital, Grand Rapids, MI, USA.
Shanthi ChidambarathanuPediatric Cardiology, Frontier Lifeline Hospital (Dr. K. M. Cherian Heart Foundation), Chennai, India.
Luis AldayDivision of Cardiology, Hospital de Niños, Córdoba, Argentina.
Katrine EriksenAdult Congenital Heart Disease Center, Oslo University Hospital - Rikshospitalet, Oslo, Norway.
Mikael DellborgAdult Congenital Heart Unit, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden.
Malin BerghammerCentre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden.
Bengt JohanssonDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Andrew S MackieDivision of Cardiology, Stollery Children's Hospital, University of Alberta, Edmonton, Canada.
Samuel MenahemMonash Heart, Monash Medical Centre, Monash University, Melbourne, Australia.
Maryanne CaruanaDepartment of Cardiology, Mater Dei Hospital, Birkirkara Bypass, Malta.
Gruschen VeldtmanAdult Congenital Heart Disease Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Alexandra SoufiDepartment of Congenital Heart Disease, Louis Pradel Hospital, Hospices civils de Lyon, Lyon, France.
Susan M FernandesAdult Congenital HeartProgram at Stanford, Lucile Packard Children's Hospital Stanford and Stanford Health Care, Palo Alto, CA, USA.
Kamila WhiteAdult Congenital Heart Disease Center, Washington University and Barnes Jewish Heart & Vascular Center, University of Missouri, Saint Louis, MO, USA.
Shelby KuttyAdult Congenital Heart Disease Center University of Nebraska Medical Center/ Children's Hospital and Medical Center, Omaha, NE, USA.
Philip MoonsKU Leuven Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35, Box 7001, 3000, Leuven, Belgium. philip.moons@kuleuven.be.ORCID http://orcid.org/0000-0002-8609-4516
APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo derive cluster analysis-based groupings for adults with congenital heart disease (ACHD) when it comes to perceived health, psychological functioning, health behaviours and quality of life (QoL).

methodsThis study was part of a larger worldwide multicentre study called APPROACH-IS; a cross sectional study which recruited 4028 patients (2013-2015) from 15 participating countries. A hierarchical cluster analysis was performed using Ward's method in order to group patients with similar psychological characteristics, which were defined by taking into consideration the scores of the following tests: Sense Of Coherence, Health Behavior Scale (physical exercise score), Hospital Anxiety Depression Scale, Illness Perception Questionnaire, Satisfaction with Life Scale and the Visual Analogue Scale scores of the EQ-5D perceived health scale and a linear analogue scale (0-100) measuring QoL.

results3768 patients with complete data were divided into 3 clusters. The first and second clusters represented 89.6% of patients in the analysis who reported a good health perception, QoL, psychological functioning and the greatest amount of exercise. Patients in the third cluster reported substantially lower scores in all PROs. This cluster was characterised by a significantly higher proportion of females, a higher average age the lowest education level, more complex forms of congenital heart disease and more medical comorbidities.

conclusionsThis study suggests that certain demographic and clinical characteristics may be linked to less favourable health perception, quality of life, psychological functioning, and health behaviours in ACHD. This information may be used to improve psychosocial screening and the timely provision of psychosocial care.

Indexed as

Quality of LifeAdultCluster AnalysisCross-Sectional StudiesExerciseFemaleHeart Defects, CongenitalHumansMaleMiddle AgedSeverity of Illness IndexSurveys and QuestionnairesAdults with congenital heart diseaseCluster analysisHealth behavioursPerceived healthPsychological functioningQuality of life

Identifiers

PMID33568120
PMCPMC7877115

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.