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Record W4241869807 · doi:10.1017/cem.2015.50

Plenary Oral Presentations

2015· article· pl· W4241869807 on OpenAlexaff
Debra Eagles, Marie‐Josée Sirois, Jeffrey J. Perry, Eddy Lang, Raoul Daoust, James Lee, Lauren E. Griffith, Marcel Émond, Romolo Gaspari, Paul Atkinson, M Woo, Louise Rang, Srikar Adhikari, Vicki E. Noble, Jason T. Nomura, Christopher Raio, Daniel Theodoro, Albert L. Weeks, David Blehar, Samuel M. Brown, Terrell Caffery, Ashley Crimmins, Simon W. Lam, Michael J. Lanspa, Margaret Reed Lewis, Otto Liebmann, Alexander T. Limkakeng, Fernando García López, Elke Platz, Michelle C. Mendoza, Hal Minnigan, Christopher Moore, Joseph Novik, William Scruggs, Daniel J. Shogilev, Paul Sierzenski, Marian J. Vermeulen, Anurag Verma, Andrew Wang, Michael J. Feldman, D. Hefferon, Robert Ohle, Bch Bao, Michelle Ohle, Jacques Godbout, Christian Vaillancourt, Hannah Buhariwalla, C Bsch, Rudolph G. Penner, Venkatesh Thiruganasambandamoorthy, Rosa Ramaekers, Md. Abdur Rahman, Ian G. Stiell, Laura Turner, Lindsey Sikora, Shannon Kelly, Pierre‐Géraud Claret, Michael Christ, Martin H. Reed, Mohamed Sabri Bchir

Bibliographic record

VenueCanadian Journal of Emergency Medicine · 2015
Typearticle
Languagepl
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsSunnybrook Health Science CentreDalhousie UniversityUniversity of OttawaSaint John Regional HospitalHealth Sciences Centre
Fundersnot available
KeywordsMedicineAction (physics)Medical emergency

Abstract

fetched live from OpenAlex

Introduction: Impaired mobility is associated with increased fall risk, functional decline and diminished quality of life, yet there is no standardized test for assessing mobility in the emergency department (ED).We wished to evaluate the Timed Up and Go (TUG) as a measure of mobility and its relationship with frailty, functional decline, fear of falling and falls in community dwelling elders that present to the ED following minor trauma.Methods: This was a substudy of a prospective cohort study conducted at 8 Canadian teaching EDs from May 2011 -July 2013, which enrolled patients ≥65 years presenting to the ED following minor trauma.Patient evaluations: 1) mobility using TUG scores categorized into <10 seconds, 10-19.9seconds, 20-29.9seconds and >30 seconds; 2) frailty using Study of Osteoporotic Fractures Frailty Index categorized as robust or intermediate/frail; 3) functional decline, defined as a decrease of 2 points in the Older American Resources and Service Functional Scale; 4) fear of falling using Short Falls Efficacy Scale with cut-off <9.8; and 5) self-report falls.Telephone or in-person follow-up at 3 and 6 months was conducted.Generalized linear model with log-binomial distribution was utilized to evaluate association between the measures.Relative risks (RR) and 95% CI were calculated.Results: 504/1,477 patients, with mean age 76.8 (SD 7.9) and 60.2% female, completed the TUG at initial ED visit.There was a significant association between TUG scores and frailty (p < 0.05), functional decline at 3 (p < 0.05) and 6 (p < 0.05) months, fear of falling (p < 0.05) at 0, 3, 6 months and self-reported falls at 0 (p < 0.05) but not at 3 (p = 0.58) or 6 (p = 0.93) months.For TUG scores 10-19.9seconds, 20-29.9seconds and >30 seconds, respectively: 1) frailty RR (CI): 2.0 (1.4-2.8),3.2 (2.2-4.7) and 4.0 (2.8-5.8); 2) functional decline RR (CI): 2.8 (0.9-8.5), 6.0 (1.8-19.5)and 9.6 (2.9-32.6);3) fear of falling RR (CI): 1.5 (1.1-2.1),2.2 (1.6-3.0) and 2.6 (1.9-3.7); and 4) falls RR (CI): 2.1 (1.1-3.9),4.0 (2.0-7.8) and 2.2 (0.8-6.3).Conclusion: In community dwelling elders presenting to the ED following minor trauma, TUG scores are associated with frailty, functional decline and fear of falling.TUG scores were associated with falls at initial ED visit but not predictive of falls at 3 or 6 months.Use of the TUG in the ED will help identify frail patients at risk of functional decline.

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.419
Threshold uncertainty score0.597

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.5810.341

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 head0.308
GPT teacher head0.324
Teacher spread0.015 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations3
Published2015
Admission routes1
Has abstractno

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