Evidence map›Paper›PMID 31363180›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2020

A genetic model for multimorbidity in young adults.

Sarah L Malecki, Spencer Van Mil, Justin Graffi, Elemi Breetvelt, Maria Corral, Erik Boot, Eva W C Chow, Marcos Sanches, Amol A Verma, Anne S Bassett

Open access · bronzeAbstract read
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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 45 citations in OpenAlex.

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  15. Multimorbidity.Nature reviews. Disease primers · 2022
    Review
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  20. Multimorbidity patterns among COVID-19 deaths: proposal for the construction of etiological models.Revista panamericana de salud publica = Pan American journal of public health · 2020
    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

10 authors at 3 institutions in 2 countries.

Sarah L MaleckiInternal Medicine Residency Program, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-3457-0696
Spencer Van MilClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Justin GraffiClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Elemi BreetveltThe Dalglish Family 22q Clinic, University Health Network, Toronto, ON, Canada.
Maria CorralThe Dalglish Family 22q Clinic, University Health Network, Toronto, ON, Canada.
Erik BootThe Dalglish Family 22q Clinic, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-0593-1539
Eva W C ChowClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Marcos SanchesBiostatistical Consulting Service, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Amol A VermaLi Ka Shing Knowledge Institute & Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Anne S BassettClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada. anne.bassett@utoronto.ca.ORCID http://orcid.org/0000-0002-0681-7279
Centre for Addiction and Mental Health · CAUniversity Health Network · CASt. Michael's Hospital · CA

Funding

3/5 International Consortium on Brain and Behavior in 22q11.2 Deletion SyndromeU01MH101723 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI BASSETT, ANNE S., CHOW, EVA W. C. · 2013 to 2016
$821k
CIHR MOP #111238CIHR MOP #97800NIMH NIH HHS U01 MH101723
6 · The paper itself

Abstract

purposeMultimorbidity is increasing in younger adults but is understudied in this population. We used 22q11.2 deletion syndrome (22q11.2DS) as a genetic model to investigate multimorbidity in young to middle-aged adults.

methodsUsing the Anatomical Therapeutic Chemical (ATC) Classification System and setting five or more concurrent prescription medications as a proxy for multimorbidity, we compared data on 264 adults with 22q11.2DS (median age 27.8, range 17.3-68.3 years) with that for a community-based Canadian general population sample (n = 25,287). We used logistic regression to examine possible predictors of multimorbidity in 22q11.2DS.

resultsMultimorbidity in 22q11.2DS in the 25-44 year age group (34.7%) was significantly more prevalent than in the general population, both for the same age group (2.9%, prevalence ratio [PR] = 11.9, 95% CI 8.4-17.1) and compared with those aged 45-64 years (16.4%, PR = 2.1, 95% CI 1.6-2.7). Neuropsychiatric and endocrinological medication classes predominated. Within 22q11.2DS, older age and psychotic illness, but not sex, major congenital heart disease, or intellectual disability, were significant predictors of multimorbidity.

conclusionThe results indicate that adults with 22q11.2DS have a significant burden of illness with levels of multimorbidity comparable with those of the general population several decades older. In younger adults with multimorbidity, certain disease patterns may help identify genetic disorders in "big data."

Indexed as

Models, GeneticMultimorbidityAdolescentAdultAgedCanadaCase-Control StudiesDiGeorge SyndromeFemaleHumansLogistic ModelsMaleMiddle AgedPolypharmacyPrevalenceYoung AdultDiGeorge syndromedrug therapymultiple chronic conditionsnoncommunicable diseasesrare genetic disorders

Identifiers

PMID31363180
OpenAlexW2966400492

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.