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Population demographics and socioeconomic impact of osteoporotic fractures in Canada

2003· article· en· W2158342214 on OpenAlexaffabout
J Lorrain, Guy D. Paiement, Normand Chevrier, Gaston Lalumi re, Georges-Henri Laflamme, Pierre Caron, Anne Fillion

Bibliographic record

VenueMenopause The Journal of The North American Menopause Society · 2003
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineIncidence (geometry)OsteoporosisSocioeconomic statusDemographicsDemographyPopulationGerontologyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Through a survey of the literature and an analysis of selected national and regional statistics, a review of the incidence of osteoporosis and its consequences was performed. Results illustrate that the consequences of osteoporosis are preventable and should sensitize clinicians to the importance of early detection and the identification of risk factors for disease prevention and to early treatment once disease has been established. A marked increase in the annual incidence of hip fractures in all Canadians is noted. Whereas the incidence was less than 20,000 in 1981, the incidence of hip fracture grew to 27,342 in 1995, with 73% occurring in women. It is estimated that in Canada at least one in four women older than 50 years will have one or more osteoporosis-related fractures in their lifetimes. The consequences of these fractures are considerable, both for patients and healthcare services. Only half of all victims regain total autonomy, and the total direct costs in Canada stemming from osteoporosis are estimated to be $1.3 billion per year.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.286
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 teacher head, 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

Citations53
Published2003
Admission routes2
Has abstractyes

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