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Record W2755269724 · doi:10.1055/s-0037-1606356

Heart Team: Joint Position of the Swiss Society of Cardiology and the Swiss Society of Cardiac Surgery

2017· article· en· W2755269724 on OpenAlexaboutno aff
Giovanni Pedrazzini, Enrico Ferrari, Michael J. Zellweger, Michele Genoni

Bibliographic record

VenueThe Thoracic and Cardiovascular Surgeon · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCornerstoneCompetence (human resources)Competitor analysisCanadian Cardiovascular SocietyPosition (finance)Quality (philosophy)Cardiac surgeryCardiologyManagementFinance

Abstract

fetched live from OpenAlex

The Swiss Society of Cardiology (SSC) and the Swiss Society of Cardiac and ThoracicVascular Surgery (SSCTVS) have formulated their mutual intent of a close, patient-oriented, and expertise-based collaboration in the Heart Team Paper. The interdisciplinary dialogue between the SSC and SSCTVS reflects an attitude in decision making, which guarantees the best possible therapy for the individual patient. At the same time, it is a cornerstone of optimized process quality, placing individual interests into the background. Evaluation of the correct indication for a treatment is indeed very challenging and almost impossible to verify retrospectively. Quality in this very important health policy process can therefore only be assured by the use of mutually recognized indications, agreed upon by all involved physicians and medical specialties, whereby the capacity of those involved in the process is not important but rather their competence. These two medical societies recognize their responsibility and have incorporated international guidelines as well as specified regulations for Switzerland. Former competitors now form an integrative consulting team able to deliver a comprehensive evaluation for patients. Naturally, implementation rests with the individual caregiver. The Heart Team Paperof the SGK and SGHC, has defined guide boards within which the involved specialists maintain sufficient room to maneuver, and patients have certainty of receiving the best possible therapy they require.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0720.023

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 head0.022
GPT teacher head0.297
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2017
Admission routes1
Has abstractyes

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