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Record W2340620289 · doi:10.1093/ageing/afv114.04

70ASSOCIATION OF THE CLINICAL FRAILTY SCALE (CFS) WITH HOSPITAL OUTCOMES IN A LARGE RETROSPECTIVE COHORT OF NON-ELECTIVE ADMISSIONS AGED ≥75 PRESENTING TO A TERTIARY UNIVERSITY NHS HOSPITAL:

2015· article· en· W2340620289 on OpenAlexaboutno aff
S J Wallis, Jasmine Wall, Richard Biram, Román Romero‐Ortuño

Bibliographic record

VenueAge and Ageing · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRetrospective cohort studyCohortEmergency medicineUniversity hospitalPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Introduction: The 9-point Clinical Frailty Scale© (CFS) was validated in the Canadian Study of Health and Aging as a predictor of adverse outcomes in community-dwelling older people. The CFS has been less well studied in acute hospital settings. In our centre, the use of the CFS in emergency admissions of people aged ≥75 years was introduced under the Commissioning for Quality and Innovation payment framework. We retrospectively studied the association of the CFS with patient characteristics and outcomes. Methods: Between 01/08/2013 and 31/07/2014, there were 11271 emergency admission episodes of people aged ≥75 years (all specialties), corresponding to 7532 unique patients (first admissions); of those, 5764 had the CFS measured (by admitting team) within 72 hours of admission. The CFS was correlated with the variables in the table. Age-adjusted trend statistics were computed with multivariate linear regression (dichotomous variables) and 2-tailed partial correlation (continuous variables). Conclusions: The CFS was a significant predictor of outcomes of people aged ≥75 years admitted non-electively, and could serve as a practical focus to target specialist geriatric resources within the hospital.

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)0.001
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 score0.004
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.030
GPT teacher head0.287
Teacher spread0.257 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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