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Record W2323489498 · doi:10.1001/jamasurg.2016.0415

Efficacy of a Guideline-Recommended Risk-Reduction Program to Improve Cardiovascular and Limb Outcomes in Patients With Peripheral Arterial Disease

2016· article· en· W2323489498 on OpenAlexafffundabout
Mohamad A. Hussain, Mohammed Al‐Omran, Muhammad Mamdani, Naomi Eisenberg, Azra Premji, Lisa Saldanha, Xuesong Wang, Subodh Verma, Thomas F. Lindsay

Bibliographic record

VenueJAMA Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsUniversity Health NetworkOccupational Cancer Research CentreInstitute for Clinical Evaluative SciencesSt. Michael's HospitalUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicineGuidelineCritical limb ischemiaInternal medicineMyocardial infarctionBody mass indexPropensity score matchingCohortStroke (engine)Cohort studyRevascularizationEmergency medicineSurgeryPathology

Abstract

fetched live from OpenAlex

IMPORTANCE: Patients with peripheral arterial disease (PAD) are at a high risk for cardiovascular events, yet, to our knowledge, no studies have examined the effect of a comprehensive risk-reduction program on long-term outcomes for patients with PAD. OBJECTIVE: To investigative whether a program that focuses on 8 major guideline-recommended risk-management therapies reduces cardiovascular and limb events in patients with PAD. DESIGN, SETTING AND PARTICIPANTS: An observational cohort study with up to 7 years of follow-up was conducted using data from administrative databases from Ontario, Canada, between July 1, 2004, and March 31, 2013. Patients with symptomatic PAD who were enrolled in the Systematic Assessment of Vascular Risk (SAVR) program at a single tertiary vascular center in Ontario between July 2004 and April 2007 were matched with up to 2 (control) patients with PAD from other Ontario tertiary vascular centers not enrolled in the program using propensity score methods. Cox proportional hazards regression analysis was used to compare outcomes. EXPOSURES: Program that promoted antiplatelet agents, statins, angiotensin-converting enzyme inhibitors, blood pressure control, lipid control, diabetic glycemic control, smoking cessation, and target body mass index by engaging vascular surgeons, family physicians, and patients with PAD. MAIN OUTCOMES AND MEASURES: The primary outcome was a composite risk ratio of death, acute myocardial infarction, or ischemic stroke. Secondary outcomes included rates of lower limb amputations, bypass surgical procedures, and peripheral angioplasties with and without a stent. RESULTS: A total of 791 patients were studied after propensity score matching; the mean (SD) age of patients in the SAVR group (n = 290) was 67.9 (10.4) years and 68.2 (11.2) years in the control group (n = 501). During follow-up, the SAVR group experienced the primary outcome at a significantly lower rate than the control group (adjusted hazard ratio [HR], 0.63; 95% CI, 0.52-0.77). Patients in the SAVR group were also less likely to have major amputation (adjusted HR, 0.47; 95% CI, 0.29-0.77), minor amputation (adjusted HR, 0.26; 95% CI, 0.13-0.54), bypass surgery (adjusted HR, 0.47; 95% CI, 0.30-0.73), or hospitalization due to heart failure (adjusted HR, 0.73; 95% CI, 0.53-1.00). The rate of peripheral angioplasty with or without a stent was higher among the SAVR group (adjusted HR, 2.97; 95% CI, 2.15-4.10). CONCLUSIONS AND RELEVANCE: A guideline-recommended risk-reduction program targeted at patients with PAD was associated with fewer cardiovascular and limb events over the long-term. This finding emphasizes the need for well-designed prospective studies to develop and examine the effect of such programs on reducing PAD-related morbidity, mortality, and health care costs.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), 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".

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Citations88
Published2016
Admission routes3
Has abstractyes

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