MétaCan
Menu
Back to cohort
Record W4402050151 · doi:10.1093/eurheartj/ehae578

Benefit of isolated surgical valve repair or replacement for functional tricuspid regurgitation and long-term outcomes stratified by the TRI-SCORE

2024· article· en· W4402050151 on OpenAlexaff
Julien Dreyfus, Fernando M. Juarez-Casso, Alessandra Sala, Manuel Carnero, Andrea Eixerés‐Esteve, Yohann Bohbot, Baptiste Bazire, Elisabeth Riant, Yannick Mbaki, Jacques Tomasi, Thomas Sénage, Kenza Rahmouni, Augustin Coisne, Damien Eyharts, Fabien Doguet, F Viau, Florian Eggenspieler, Samuel Heuts, Peyman Sardari Nia, Gregor Heitzinger, Xavier Galloo, Nina Ajmone Marsan, Giovanni Benfari, Luigi P. Badano, Denisa Muraru, Francesco Maisano, Yan Topilsky, Héctor I. Michelena, Maurice Enriquez-Sarano, Jeroen J. Bax, Philipp E. Bartko, Christine Selton‐Suty, Gilbert Habib, Yoan Lavie‐Badie, Thomas Modine, Vincent Chan, Thierry Le Tourneau, Erwan Donal, Pascal Lim, Costin Radu, Jordan Bernick, George A. Wells, Christophe Tribouilloy, Bernard Iung, Jean‐François Obadia, Michele De Bonis, Juan A. Crestanello, David Messika–Zeitoun

Bibliographic record

VenueEuropean Heart Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineRegurgitation (circulation)CardiologyTricuspid valveInternal medicineSurgeryIdeal (ethics)Tricuspid Valve Insufficiency

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Severe tricuspid regurgitation is associated with increased mortality rates, but benefit of its correction and ideal timing are not clearly determined. This study aimed to identify patient subsets who might benefit from the surgery. METHODS: In TRIGISTRY, an international cohort study of consecutive patients with severe isolated functional tricuspid regurgitation (33 centres, 10 countries), survival rates up to 10 years were compared between patients who underwent isolated tricuspid valve surgery (repair or replacement) and those conservatively managed, overall and according to TRI-SCORE category (low: ≤3, intermediate: 4-5, and high: ≥6). RESULTS: One thousand and two hundred seventeen were managed conservatively, and 551 underwent isolated tricuspid valve surgery (200 repairs and 351 replacements). TRI-SCORE distribution was 33% low, 32% intermediate, and 35% high. At 10 years, survival rates were similar between surgical and conservative management [41% vs. 36%; hazard ratio (HR) .97; 95% confidence interval (CI) .88-1.08, P = .57]. Surgery improved survival compared with conservative management in the low TRI-SCORE category (72% vs. 44%; HR .27; 95% CI .20-.37, P < .0001), but not in the intermediate (36% vs. 37%; HR 1.17; 95%CI .98-1.40, P = .09) or high categories (20% vs. 24%; HR 1.06; 95% CI .91-1.25, P = .45). Both repair and replacement improved survival in the low TRI-SCORE category (84% and 61% vs. 44%; HR .11; 95% CI .06-.19, P < .0001, and HR .65; 95% CI .47-.90, P = .009). Repair showed benefit in the intermediate category (59% vs. 37%; HR .49; 95% CI .35-.68, P < .0001) while replacement was possibly harmful (25% vs. 37%; HR 1.43; 95% CI 1.18-1.72, P = .0002). CONCLUSIONS: Higher survival rates were observed with repair than replacement and benefit of intervention declined as TRI-SCORE increased with no benefit of any type of surgery in the high TRI-SCORE category. These results emphasize the importance of timely intervention and patient selection to achieve the best outcomes and the need for randomized controlled trials.

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)0.003
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.064
GPT teacher head0.368
Teacher spread0.304 · 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".

Quick stats

Citations47
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Heart JournalSame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207