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Record W87906273

On the rise: The current and projected future burden of congestive heart failure hospitalization in Canada.

2003· article· en· W87906273 on OpenAlexaffabout
Helen Johansen, Barbara Strauss, J. Malcolm O. Arnold, Gordon W. Moe, Peter Liu

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsMedicineHeart failureIncidence (geometry)Myocardial infarctionEpidemiologyPopulationEmergency medicineMortality rateInternal medicinePediatrics
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The incidence of congestive heart failure (CHF) has increased due, in part, to an aging population and improvements in the diagnosis and treatment of myocardial infarction. This has been reported internationally but no systematic epidemiological assessment of CHF has been conducted for Canada nationally. OBJECTIVES: To estimate length of stay, mortality and readmission rates and projected number of future CHF hospital patients. METHODS: Health insurance numbers were used to link all hospital visits for 1996/97 CHF patients who had no CHF discharges within the previous two years. All patients were followed up for one year from the date of their initial visit. RESULTS: The numbers of males and females in the study were similar: 40,958 males and 42,255 females. Within the first year, CHF patients used an average of 26.9 hospital days and nearly 50% were readmitted to hospital. Within the index episode, 16.5% of the CHF patients died in hospital. Under the age of 70, female patients had higher mortality than males, while after the age of 70, males were more likely to die. The number of CHF incident hospital cases per year is projected to more than double by the year 2025. To keep the current number of incident patients the same as in 1996/97, the incidence of would have to decrease by 2.6% per year. CONCLUSIONS: Patients admitted with CHF have high rates of mortality and prolonged and recurrent hospitalization. If the current rates are not reduced, health care costs related to CHF could increase substantially.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations109
Published2003
Admission routes2
Has abstractyes

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