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Record W2970039185 · doi:10.5770/cgj.22.359

The Evaluation of an Osteoporosis Clinic in a Community Hospital Setting: a Retrospective Chart Review and Telephone Survey

2019· article· en· W2970039185 on OpenAlexaffvenue
Timothy S.H. Kwok, Natasha Gakhal, Thanu Nadarajah Ruban

Bibliographic record

VenueCanadian Geriatrics Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsMarkham Stouffville HospitalWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineOsteoporosisRetrospective cohort studyFragility fractureTelephone callOutpatient clinicEmergency medicineBisphosphonateHip fractureIntervention (counseling)CohortPhysical therapyPediatricsInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Patients who have suffered fragility fractures are at an increased risk for subsequent fractures. The Osteoporosis (OP) Clinic at Markham Stouffville Hospital (MSH) was set up in July 2015 to screen, diagnose, and treat patients with fragility fractures. The goal of this study was to identify differences in OP screening and treatment initiation between patients seen in the OP clinic versus usual care. METHODS: A retrospective cohort study and telephone interview was conducted on 40 patients who had sustained a hip fragility fracture between September 2015 and July 2016. 20 of those patients were referred to the OP clinic, while the remaining patients received usual care. RESULTS: < .01). CONCLUSIONS: A significant care gap exists in secondary fracture prevention between the osteoporosis clinic and usual care groups. Better screening and subsequent intervention are needed for patients with fragility fractures. This study highlights the efficacy of an outpatient OP clinic in a community hospital setting.

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)0.023
metaresearch head score (Gemma)0.004
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 score0.152
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.364
Teacher spread0.318 · 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
Published2019
Admission routes2
Has abstractyes

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