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Record W3041743115 · doi:10.2337/dc20-0229

Influenza Vaccination Is Associated With Reduced Cardiovascular Mortality in Adults With Diabetes: A Nationwide Cohort Study

2020· article· en· W3041743115 on OpenAlexaff
Daniel Modin, Brian Claggett, Lars Køber, Morten Schou, Jens‐Ulrik Stæhr Jensen, Scott D. Solomon, Orly Vardeny, Filip K. Knop, Susanne Dam Nielsen, Michael Fralick, Christian Torp‐Pedersen, Gunnar Gislason, Tor Biering‐Sørensen

Bibliographic record

VenueDiabetes Care · 2020
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsSinai Health SystemUniversity of Toronto
FundersNovo Nordisk FondenNovo Nordisk
KeywordsMedicineDiabetes mellitusVaccinationCohort studyCohortPediatricsInternal medicineImmunologyEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVE Recent influenza infection is associated with an increased risk of atherothrombotic events, including acute myocardial infarction (AMI) and stroke. Little is known about the association between influenza vaccination and cardiovascular outcomes in patients with diabetes. RESEARCH DESIGN AND METHODS We used nationwide register data to identify patients with diabetes in Denmark during nine consecutive influenza seasons in the period 2007–2016. Diabetes was defined as use of glucose-lowering medication. Patients who were not 18–100 years old or had ischemic heart disease, heart failure, chronic obstructive lung disease, cancer, or cerebrovascular disease were excluded. Patient exposure to influenza vaccination was assessed before each influenza season. We considered the outcomes of death from all causes, death from cardiovascular causes, and death from AMI or stroke. For each season, patients were monitored from December 1 until April 1 the next year. RESULTS A total of 241,551 patients were monitored for a median of four seasons (interquartile range two to eight seasons) for a total follow-up of 425,318 person-years. The vaccine coverage during study seasons ranged from 24% to 36%. During follow-up, 8,207 patients died of all causes (3.4%), 4,127 patients died of cardiovascular causes (1.7%), and 1,439 patients died of AMI/stroke (0.6%). After adjustment for confounders, vaccination was significantly associated with reduced risks of all-cause death (hazard ratio [HR] 0.83, P < 0.001), cardiovascular death (HR 0.84, P < 0.001), and death from AMI or stroke (HR 0.85, P = 0.028) and a reduced risk of being admitted to hospital with acute complications associated with diabetes (diabetic ketoacidosis, hypoglycemia, or coma) (HR 0.89, P = 0.006). CONCLUSIONS In patients with diabetes, influenza vaccination was associated with a reduced risk of all-cause death, cardiovascular death, and death from AMI or stroke. Influenza vaccination may improve outcome in patients with diabetes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.313
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations68
Published2020
Admission routes1
Has abstractyes

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