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Record W4392498909 · doi:10.1093/eurheartj/ehae098

Unsuccessful ageing: from frailty to cardiovascular disease

2024· article· en· W4392498909 on OpenAlexafffundabout
Jonathan Afilalo

Bibliographic record

VenueEuropean Heart Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineAgeingDiseaseGerontologyIntensive care medicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Unsuccessful ageing. Contextual factors influence modifiable and non-modifiable determinants of health. Formative behaviours include diet, exercise, sleep, socialization, and avoidance of excess stress, smoking, alcohol, and drugs. Access to healthcare is instrumental to inform behavioural change and prevent the onset or progression of disease. Accumulation of diseases, as well as subclinical impairments in multiorgan functionality, erode the body’s allostatic and intrinsic capacities. Allostatic capacity relates to the restoration of physiological homeostasis in response to stressors and it is mediated by immune, endocrine, autonomic, hepato-renal, and cardiovascular systems. Intrinsic capacity relates to the preservation of autonomous functioning and it is mediated by locomotive, energetic, cognitive, psychological, and sensory faculties. If these faculties fall below a critical threshold, and they cannot be enabled by assistive technologies (e.g. a walking aid), then one becomes dependent for activities of daily living. Institutionalization, defined as living in an assisted care facility or hospital, is modelled as the end result of unsuccessful ageing in the absence of available caregivers to help perform activities within the home setting. Frailty has been operationally defined as narrowly as locomotive intrinsic incapacity (e.g. gait speed) or as broadly as summated intrinsic incapacities, allostatic load, upstream diseases, and downstream disabilities (e.g. frailty index).

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.003

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 head0.057
GPT teacher head0.312
Teacher spread0.255 · 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

Citations11
Published2024
Admission routes3
Has abstractyes

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