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Record W3170467352 · doi:10.1136/heartjnl-2021-319489

Clinical practice guideline for transcatheter versus surgical valve replacement in patients with severe aortic stenosis in Latin America

2021· review· en· W3170467352 on OpenAlexaff
Pablo Lamelas, Martín Ragusa, Rodrigo Bagur, Iqbal Jaffer, Henrique Barbosa Ribeiro, Adrián Baranchuk, Fernando Wyss, Álvaro Sosa Liprandi, Gabriel Olivares, Magaly Arrais dos Santos, Juan Camilo Méndez Rendón, Jorge Catrip, Carla Agatiello, Fernando Cura, Alfaro Marchena, Fábio Sândoli de Brito, José Armando Mangione, Aníbal Damonte, Omar Santaera, Pedro Hidalgo, Robby Nieuwlaat, Ariel Izcovich

Bibliographic record

VenueHeart · 2021
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsWestern UniversityLondon Health Sciences CentreMcMaster UniversityQueen's UniversityImpact
Fundersnot available
KeywordsMedicineAortic valve replacementStenosisGuidelineAortic valve stenosisLatin AmericansAortic valveGeneral surgerySurgeryCardiologyIntensive care medicine

Abstract

fetched live from OpenAlex

In elderly (75 years or older) patients living in Latin America with severe symptomatic aortic stenosis candidates for transfemoral approach, the panel suggests the use of transcatheter aortic valve implant (TAVI) over surgical aortic valve replacement (SAVR). This is a conditional recommendation, based on moderate certainty in the evidence (⨁⨁⨁Ο).This recommendation does not apply to patients in which there is a standard of care, like TAVI for patients at very high risk for cardiac surgery or inoperable patients, or SAVR for non-elderly patients (eg, under 65 years old) at low risk for cardiac surgery. The suggested age threshold of 75 years old is based on judgement of limited available literature and should be used as a guide rather than a determinant threshold.The conditional nature of this recommendation means that the majority of patients in this situation would want a transfemoral TAVI over SAVR, but some may prefer SAVR. For clinicians, this means that they must be familiar with the evidence supporting this recommendation and help each patient to arrive at a management decision integrating a multidisciplinary team discussion (Heart Team), patient's values and preferences through shared decision-making, and available resources. Policymakers will require substantial debate and the involvement of various stakeholders to implement this recommendation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.004
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 head0.065
GPT teacher head0.458
Teacher spread0.393 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations11
Published2021
Admission routes1
Has abstractyes

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