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Abstract 261: Where Clinical Practice, Emerging Medical Technology, And Evaluation Intersect In A Healthcare System Based On Equal Access: The Example Of Transcatheter Aortic Valve Replacement

2012· article· en· W2735720128 on OpenAlexaffabout
Laurie Lambert, Lucy J. Boothroyd, Marco Spaziano, Jason R. Guertin, Josep Rodés‐Cabau, Nicolas Noiseux, Michel Nguyen, Éric Dumont, Michel Carrier, Benoît de Varennes, Réda Ibrahim, Giuseppe Martucci, Yongling Xiao, Jean Morin, Peter Bogaty

Bibliographic record

VenueCirculation Cardiovascular Quality and Outcomes · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsRoyal Victoria HospitalMcGill University Health CentreMontreal Heart InstituteHôpital FleurimontInstitut National d'Excellence en Santé et en Services SociauxUniversité de MontréalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineGovernment (linguistics)Valve replacementHealth careRandomized controlled trialClinical trialStenosisChristian ministryMedical emergencyFamily medicineIntensive care medicineSurgeryCardiologyInternal medicineEconomic growthPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Transcatheter aortic valve replacement (TAVR) is an emerging treatment for frequently elderly patients with severe symptomatic aortic stenosis considered at too high risk for conventional surgery. However, this less invasive treatment has important implications in a universal public payer healthcare system with limited resources. In early 2011, the province of Quebec’s Ministry of Health requested an evaluation of TAVR by INESSS, a government-funded independent body that assists evidence-based policy-making with literature reviews, field evaluations and outcomes research. The Ministry also asked INESSS to be involved in the creation of a provincial registry. At the time of the request, 4 centers were already performing TAVR and others were developing programs. METHODS: We conducted a systematic literature review (2008-2011) on effectiveness, safety, economic, and ethical issues, in collaboration with a committee of independent clinical experts (4 interventional cardiologists, 4 cardiac surgeons). The committee’s role was to help interpret and contextualize existing evidence and to collaborate in the development of a provincial registry. We proposed clinical, process of care and economic variables for a registry based on the literature review and the clinicians’ perspectives. RESULTS: According to the literature, outcomes of TAVR are promising for carefully selected patients with respect to 1-year survival, functional improvement, and quality of life. Limitations in the evidence base include uncertain longer-term benefits and device durability due to a lack of studies with lengthy follow-up; an important risk of stroke and high rates of hospitalization post-intervention in the one available randomized controlled trial; lack of standardization of data definitions across studies; and insufficient evidence on cost-effectiveness and cost-utility. We recommended that: (1) TAVR be offered only to patients declined for surgery and who would likely have improved quality of life as a result of the procedure; (2) patients be fully informed of the relative novelty of the procedure and uncertainty about associated risks and longer-term benefits; (3) selection of patients involve a multi-disciplinary team and be uniform in terms of criteria and process across centers to ensure equal access; (4) the patient selection process be documented; (5) TAVR programs receive specific funding that includes financing of a registry; (6) a mandatory registry be used to collect data on baseline patient characteristics, procedures, outcomes, and costs, to inform both participating centres and the Ministry; and (7) TAVR be performed by a limited number of expert centers to maintain a sufficient volume of procedures. CONCLUSIONS: The practice of TAVR in the province of Quebec will be guided by the results of a systematic review of existing evidence and future evidence from a provincial registry developed by an independent body in collaboration with clinical experts. We believe that this evaluation model will meet the challenges posed by the introduction of innovative technology in a universal healthcare system with limited resources.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.040
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
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 head0.116
GPT teacher head0.470
Teacher spread0.354 · 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".

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Citations0
Published2012
Admission routes2
Has abstractyes

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