Evidence map›Paper›PMID 36632417›Full record

ArticleOpen forum infectious diseases2023

Burden of Severe Illness Associated With Laboratory-Confirmed Influenza in Adults Aged 50-64 Years, 2010-2011 to 2016-2017.

Philip Kim, Brenda Coleman, Jeffrey C Kwong, Agron Plevneshi, Kazi Hassan, Karen Green, Shelly A McNeil, Irene Armstrong, Wayne L Gold, Jonathan Gubbay and 7 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 11 institutions in 2 countries.

Philip KimDepartment of Microbiology, Sinai Health System, Toronto, Canada.
Brenda ColemanDepartment of Microbiology, Sinai Health System, Toronto, Canada.
Jeffrey C KwongDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Agron PlevneshiDepartment of Microbiology, Sinai Health System, Toronto, Canada.
Kazi HassanDepartment of Microbiology, Sinai Health System, Toronto, Canada.
Karen GreenDepartment of Microbiology, Sinai Health System, Toronto, Canada.
Shelly A McNeilDepartment of Medicine, Dalhousie University, Halifax, Canada.
Irene ArmstrongToronto Public Health, Toronto, Canada.
Wayne L GoldDepartment of Medicine, University Health Network, University of Toronto, Toronto, Canada.
Jonathan GubbayPublic Health Ontario, Toronto, Canada.
Kevin KatzDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Stefan P KusterDivision of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland.
Reena LovinskyScarborough Health Network, Toronto, Canada.
Larissa MatukasDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Krystyna OstrowskaTrillium Health Partners, Mississauga, Canada.
David RichardsonDepartment of Medical Microbiology and Infectious Diseases, William Osler Health System, Brampton, Canada.
Allison McGeerDepartment of Microbiology, Sinai Health System, Toronto, Canada.
Sinai Health System · CAUniversity of Toronto · CAPublic Health Ontario · CADalhousie University · CAInstitute for Clinical Evaluative Sciences · CAThe Scarborough Hospital · CAToronto Public Health · CATrillium Health Centre · CAUniversity Health Network · CAUniversity of St. Gallen · CHWilliam Osler Health System · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding the burden of influenza is necessary to optimize recommendations for influenza vaccination. We describe the epidemiology of severe influenza in 50- to 64-year-old residents of metropolitan Toronto and Peel region, Canada, over 7 influenza seasons. Methods: Prospective population-based surveillance for hospitalization associated with laboratory-confirmed influenza was conducted from September 2010 to August 2017. Conditions increasing risk of influenza complications were as defined by Canada's National Advisory Committee on Immunization. Age-specific prevalence of medical conditions was estimated using Ontario health administrative data. Population rates were estimated using Statistics Canada data. Results: Over 7 seasons, 1228 hospitalizations occurred in patients aged 50-64 years: 40% due to A(H3N2), 30% A(H1N1), and 22% influenza B. The average annual hospitalization rate was 15.6, 20.9, and 33.2 per 100 000 in patients aged 50-54, 55-59, and 60-64 years, respectively; average annual mortality was 0.9/100 000. Overall, 33% of patients had received current season influenza vaccine; 963 (86%) had ≥1 underlying condition increasing influenza complication risk. The most common underlying medical conditions were chronic lung disease (38%) and diabetes mellitus (31%); 25% of patients were immunocompromised. The average annual hospitalization rate was 6.1/100 000 in those without and 41/100 000 in those with any underlying condition, and highest in those with renal disease or immunocompromise (138 and 281 per 100 000, respectively). The case fatality rate in hospitalized patients was 4.4%; median length of stay was 4 days (interquartile range, 2-8 days). Conclusions: The burden of severe influenza in 50- to 64-year-olds remains significant despite our universal publicly funded vaccination program. These data may assist in improving estimates of the cost-effectiveness of new strategies to reduce this burden.

Indexed as

adultchronic comorbidityhospitalizationinfluenzamortality

Identifiers

PMID36632417
PMCPMC9830541
OpenAlexW4313251188

What OpenQuestion holds

Textmetadata
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.