Frailty as a predictor of future falls in hospitalized patients: A systematic review and meta-analysis

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Full frame distilled prediction

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.

Candidate categories

Meta-epidemiology (narrow), Meta-epidemiology (broad)

Consensus categories

none

Domain

Candidate signal: noneConsensus signal: none

Study design

Candidate signal: Systematic reviewConsensus signal: none

Genre

Candidate signal: ReviewConsensus signal: Review

Teacher disagreement score

0.736

Threshold uncertainty score

1.000

Validation status

machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

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.

Teacher spread

0.305 · how far apart the two teachers sit on this one work

Validation status

score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

The aims of this review were to identify prospective studies examining associations between frailty and falls and to combine the risk measures to synthesize pooled evidence on frailty as a predictor of falls. A systematic literature search was conducted through Embase, Scopus, PubMed, CINAHL Plus, and the Cochrane Library for studies published from inception through May 2018. Odds ratios (OR) and hazard ratios (HR) extracted from the studies were combined to synthesize pooled effect measures using random-effects or fixed-effects models. Six studies involving 3881 hospitalized patients were included in this study. Frailty was found to be significantly associated with future falls among three studies with OR (pooled OR = 1.323, 95%confidence interval = 1.137-1.538, P < 0.000) and three studies with HR (pooled OR = 1.890, 95%confidence interval = 1.456-2.453, P < 0.000). Frailty was a significant predictor of future falls in hospitalized patients. Paying more attention to frailty may lead to lowering fall risks.

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.

The record

Venue

Geriatric Nursing

Topic

Frailty in Older Adults

Field

Medicine

Canadian institutions

not available

Funders

European Social FundNational Institute of Diabetes and Digestive and Kidney DiseasesNIHR Oxford Biomedical Research CentreHealth and Social Care Research and Development DivisionNational Health and Medical Research CouncilEconomic and Social Research CouncilMedical Research CouncilGillings School of Public HealthNational Institutes of HealthVetenskapsrådetKuwait UniversityUnitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si InovariiNational Institute of Child Health and Human DevelopmentFundação de Amparo à Pesquisa do Estado de Minas GeraisState Government of VictoriaChina Medical UniversityPublic Health AgencyConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDepartment of Biotechnology, Ministry of Science and Technology, IndiaCouncil for the Development of Social Science Research in AfricaUniversity of BristolAutoritatea Natională pentru Cercetare StiintificăInstituto de Salud Carlos IIINational Natural Science Foundation of ChinaUniversity of CalgaryUniversity of MelbourneHealth Research Council of New ZealandUniversity of New South WalesUniversiti Kebangsaan MalaysiaEuropean Regional Development FundKing's College LondonBrien Holden Vision InstituteThe Wellcome Trust DBT India AllianceNational Research FoundationNational Institute for Health and Care ResearchKasturba Medical College, ManipalEngineering and Physical Sciences Research CouncilNational Institute for Health Research Health Protection Research UnitDeakin UniversityUniversität HeidelbergPublic Health EnglandNational Authority for Scientific Research and InnovationEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentBHF Centre of Research Excellence, OxfordNational Institute of Mental HealthDanmarks GrundforskningsfondMinistério da Ciência, Tecnologia e Ensino SuperiorWellcome TrustComunidad de MadridMinisterio de Ciencia, Innovación y UniversidadesXiamen UniversityDepartment of Science and Innovation, South AfricaMinistério da SaúdeChief Scientist Office, Scottish Government Health and Social Care DirectorateBritish Heart FoundationBundesministerium für Bildung und ForschungKing's College Hospital NHS Foundation TrustPublic Health Agency of CanadaFred Hollows FoundationScottish GovernmentMinistero della SaluteQueensland HealthUnited States Agency for International DevelopmentFundação para a Ciência e a TecnologiaBill and Melinda Gates Foundation

Keywords

Meta-analysisMedicineConfidence intervalCINAHLCochrane LibraryOdds ratioHazard ratioMEDLINEScopusInternal medicineFalls in older adultsPoison controlInjury preventionEmergency medicinePsychiatryPsychological intervention

Has abstract in OpenAlex

yes

API

/api/v1/works/W2912515956