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Record W3204029077 · doi:10.1590/0034-7167-2020-0973

Frailty in the elderly: screening possibilities in Primary Health Care

2021· article· en· W3204029077 on OpenAlexaboutno aff
Edmar Geraldo Ribeiro, Isabel Yovana Quispe Mendoza, Marco Túlio Gualberto Cintra, Maria Aparecida Camargos Bicalho, Gilberto de Lima Guimarães, Edgar Nunes de Moraes

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2021
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyMedicineGerontologyKappaFrailty IndexCorrelationCohen's kappaVulnerability (computing)Spearman's rank correlation coefficientPrimary health careScale (ratio)StatisticsEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: to evaluate two instruments for screening frailty in the elderly in Primary Health Care. METHODS: this is an observational, cross-sectional study, with a quantitative approach, with 396 elderly people. SPSS software helped to perform the statistical analyses. The study used the kappa coefficient and Spearman's correlation. RESULTS: the kappa coefficient between the Clinical-Functional Vulnerability Index 20 and the Edmonton Frailty Scale was 0.496, considered moderate. There was a positive and significant correlation (r = 0.77; p < 0.001) between the frailty conditions and the total score of the two instruments. CONCLUSIONS: when this article assessed fragility through the kappa coefficient, both instruments presented positive correlation and agreement. However, the identification of frailty was higher when it used the Edmonton Frailty Scale.

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)0.005
metaresearch head score (Gemma)0.016
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 score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.052
GPT teacher head0.344
Teacher spread0.292 · 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

Citations19
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de EnfermagemSame topicFrailty in Older AdultsFrench-language works237,207