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Record W2743124441 · doi:10.11124/jbisrir-2016-003115

Frailty in nursing home residents: a scoping review protocol

2017· review· en· W2743124441 on OpenAlexaff
Thanuja De Silva, Sally Suriani Ahip, Olga Theou, Cătălin Tufănaru, Renuka Visvanathan, Kandiah Umapathysivam

Bibliographic record

VenueThe JBI Database of Systematic Reviews and Implementation Reports · 2017
Typereview
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineDeliriumModalitiesNursing homesGerontologyMalnutritionMEDLINEDepression (economics)Gerontological nursingCognitive impairmentGeriatricsNursingCognitionPsychiatry

Abstract

fetched live from OpenAlex

Objectives and Review questions: The overall research objective of this scoping review is to determine the current evidence on frailty in nursing homes. The objectives of the scoping review are to map the following, as reported in international literature: Fraily tools used in studies on nursing home residents. Prevalence of frailty in nursing home residents. Geriatric syndromes (e.g. cognitive impairment, delirium, depression, falls, incontinence, malnutrition and dizziness) associated with frailty in nursing home residents. Other types of adverse outcomes related to frailty reported. Diverse treatment modalities of frailty in nursing home residents. The questions for the scoping review are: What frailty diagnostic tools have been reported in international literature that have been used in studies on nursing home residents? What prevalence rates of frailty in nursing home residents have been reported in the literature? What types of geriatric syndromes have been reported in the literature as being associated with frailty? What other types of adverse outcomes related to frailty have been reported in the literature? What treatment modalities for frailty have been reported in the literature?

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
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 head0.230
GPT teacher head0.547
Teacher spread0.317 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2017
Admission routes1
Has abstractyes

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