MétaCan
Menu
Back to cohort
Record W3045308217 · doi:10.1177/0840470420938067

Breaking down the silos: Transcatheter aortic valve implant versus open heart surgery

2020· article· en· W3045308217 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealthcare Management Forum · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicEfficiency Analysis Using DEA
Canadian institutionsMedtronic (Canada)
Fundersnot available
KeywordsAortic valve replacementMedicineStenosisImplantCardiologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

Budget silos innate to hospital global funding schemes tend to inhibit the adoption of innovative clinical practices. In contrast, budget fluidity can encourage initiatives that align with the Quadruple Aim. This article calculated the budget impact of Surgical Aortic Valve Replacement (SAVR) and Transcatheter Valve Implant (TAVI) in high-risk aortic stenosis to demonstrate the value of a full-cost accounting approach. The budget impact of TAVI was $4,000 more than SAVR ($52,576 vs $48,578). However, the cost of managing SAVR adverse events was higher than TAVI ($17,718 vs. $11,754) over 1 year. A scenario analysis demonstrated that the total cost of care for a cohort of 100 patients at baseline ratio of 30% TAVI versus 70% SAVR was similar to a future scenario, with reverse proportions. While TAVI may seem expensive upfront, when considered as a surgical department budget item, the overall cost to the hospital is comparable to the SAVR.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.172
GPT teacher head0.405
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