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Record W2810554391

Abstract 18122: Cardiac Rehabilitation in Subjects With Peripheral Arterial Disease: A Higher Risk Patient Population Who Benefit From Attendance

2016· article· en· W2810554391 on OpenAlexaffabout
Billie‐Jean Martin, Andrea N. Devrome, Trina Hauer, Leslie D. Austford, Ross Arena, James A. Stone, Sandeep Aggarwal

Bibliographic record

VenueCirculation · 2016
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsTotal (Canada)University of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineAttendanceRehabilitationArterial diseasePhysical therapyPopulationHazard ratioCoronary artery diseaseDiseaseInternal medicineVascular diseaseConfidence interval
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Peripheral vascular disease (PAD) is a common co-morbidity in subjects with coronary artery disease referred for cardiac rehabilitation (CR). Hypothesis: Subjects with PAD derive benefit from CR, but are less likely to attend. Methods: This study included all subjects who were referred to a 12-week, exercise based CR program in Calgary, Canada between 1996 and 2013. Baseline patient characteristics including age, sex, and clinical characteristics were compared between those who completed CR and did not. Rates of attendance and completion were compared by PAD, as was change in exercise capacity measured by exercise testing over the course of CR for all those who completed the program. Unadjusted and adjusted (for all available clinical covariates) Cox proportional hazard models were constructed to assess the association between CR completion and mortality. Models were stratified by PAD diagnosis. Results: A total of 15927 subjects were referred to CR; of those, only 894 (5.6%) had a formal diagnosis of PAD. Subjects with PAD were less likely to complete CR (44.4 vs 55.6% for non-PAD, p Conclusions: Subjects with coexisting PAD in a CR program have a higher mortality and thus are a higher risk CR group. They derive significant mortality reduction from attending CR even though they have less improvement in their exercise capacity. They are, however, less likely to attend and more likely to drop out. Removing barriers to CR attendance and completion is important for those suffering from PAD.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.033
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.007
GPT teacher head0.221
Teacher spread0.214 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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