Evidence map›Paper›PMID 37006909›Full record

ArticleDialogues in health2023

The impact of multimorbidity on severe COVID-19 outcomes in community and congregate settings.

Anna Pefoyo Kone, Lynn Martin, Deborah Scharf, Helen Gabriel, Tamara Dean, Idevania Costa, Refik Saskin, Luis Palma, Walter P Wodchis

Abstract read
In one paragraph

Article in Dialogues in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Association of Polypharmacy and Burden of Comorbidities on COVID-19 Adverse Outcomes in People with Type 1 or Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  3. Article
  4. 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

9 authors.

Anna Pefoyo KoneDepartment of Health Sciences, Lakehead University, Thunder Bay, Canada.
Lynn MartinDepartment of Health Sciences, Lakehead University, Thunder Bay, Canada.
Deborah ScharfDepartment of Health Sciences, Lakehead University, Thunder Bay, Canada.
Helen GabrielDepartment of Health Sciences, Lakehead University, Thunder Bay, Canada.
Tamara DeanDepartment of Health Sciences, Lakehead University, Thunder Bay, Canada.
Idevania CostaDepartment of Health Sciences, Lakehead University, Thunder Bay, Canada.
Refik SaskinICES, Toronto, ON, Canada.
Luis PalmaICES, Toronto, ON, Canada.
Walter P WodchisHealth System Performance Network (HSPN), Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study examined the impact of multimorbidity on severe COVID-19 outcomes in community and long-term care (LTC) settings, alone and in interaction with age and sex. Methods: We conducted a retrospective cohort study of all Ontarians who tested positive for COVID-19 between January-2020 and May-2021 with follow-up until June 2021. We used cox regression to evaluate the adjusted impact of multimorbidity, individual characteristics, and interactions on time to hospitalization and death (any cause). Results: 24.5% of the cohort had 2 or more pre-existing conditions. Multimorbidity was associated with 28% to 170% shorter time to hospitalization and death, respectively. However, predictors of hospitalization and death differed for people living in community and LTC. In community, increasing multimorbidity and age predicted shortened time to hospitalization and death. In LTC, we found none of the predictors examined were associated with time to hospitalization, except for increasing age that predicted reduced time to death up to 40.6 times. Sex was a predictor across all settings and outcomes: among male the risk of hospitalization or death was higher shortly after infection (e.g. HR for males at 14 days = 30.3) while among female risk was higher for both outcome in the longer term (e.g. HR for males at 150 days = 0.16). Age and sex modified the impact of multimorbidity in the community. Conclusion: Community-focused public health measures should be targeted and consider sociodemographic and clinical characteristics such as multimorbidity. In LTC settings, further research is needed to identify factors that may contribute to improved outcomes.

Indexed as

AgeChronic conditionsCommunityCOVID-19HospitalIncomeLong-term careMortalityMultimorbidityRisk factors

Identifiers

PMID37006909
PMCPMC10043958

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.