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Survival After Invasive or Conservative Management of Stable Coronary Disease

2022· article· en· W4308369684 on OpenAlexaff
Judith S. Hochman, Rebecca Anthopolos, Harmony R. Reynolds, Sripal Bangalore, Yifan Xu, Sean M. O’Brien, Stavroula Mavromichalis, Michelle Chang, Aira Contreras, Yves Rosenberg, Ruth Kirby, Balram Bhargava, Roxy Senior, Ann Banfield, Shaun G. Goodman, Renato D. Lópes, Radosław Pracoń, José López‐Sendón, Aldo P. Maggioni, Jonathan Newman, Jeffrey S. Berger, Mandeep S. Sidhu, Harvey D. White, Andrea B. Troxel, Robert A. Harrington, William E. Boden, Gregg W. Stone, Daniel B. Mark, John A. Spertus, David J. Maron, Shari Esquenazi‐Karonika, Margaret Gilsenan, Ewelina Gwiszcz, Patenne D. Mathews, Samaa Mohamed, Anna K. Naumova, Arline Roberts, Kerrie VanLoo, Ying Lü, Zhen Huang, Samuel Broderick, Luis A. Guzmán, Joseph B. Selvanayagam, Jean‐Michel Juliard, Rolf Doerr, Mátyás Keltai, Balram Bhargava, Boban Thomas, Tali Sharir, Eugenia Nikolsky, Shun Kohsaka, Jorge Escobedo, O.L. Bockeria, Claes Held, Leslee J. Shaw, Lawrence M. Phillips, Daniel S. Berman, Raymond Y. Kwong, Michael H. Picard, Bernard Chaitman, Ziad A. Ali, James K. Min, G.B. John Mancini, Jonathon Leipsic, Graham S. Hillis, S. Thambar, Majo Joseph, John F. Beltrame, Iréne Lang, Herwig Schuchlenz, Kurt Huber, Kaatje Goetschalckx, Whady Hueb, Paulo Caramori, Alexandre de Quadros, Paola Smanio, Cláudio Tinoco Mesquita, João V. Vítola, José Antônio Marin‐Neto, Rogério Tumelero, Alvaro Rabelo Alves, Frederico Dall’Orto, Carísi Anne Polanczyk, Estêvão Lanna Figueiredo, Andrew Howarth, Gilbert Gosselin, Asim N. Cheema, Kevin R. Bainey, Denis Phaneuf, Ariel Díaz, Pallav Garg, Shamir Mehta, Graham C. Wong, Andy Lam, James Cha, Paul Galiwango, Amar Uxa, Benjamin J.W. Chow, Adnan Hameed, Jacob A. Udell, Marie Hauguel‐Moreau, Alain Furber, Pascal Goube, Philippe Gabríel Steg, Gilles Barone‐Rochette, Christophe Thuaire, Michel Slama, Georg Nickenig, Raffi Bekeredjian, P. Christian Schulze, Béla Merkely, Géza Fontos, András Vértes, Albert Varga, Ajit Kumar, Rajesh Gopalan Nair, Purvez Grant, Cholenahally Nanjappa Manjunath, Nagaraja Moorthy, Santhosh Satheesh, Ranjit Kumar Nath, Gurpreet Singh Wander, Johann Christopher, Sudhanshu Kumar Dwivedi, Abraham Oomman, Atul Mathur, Milind Gadkari, Sudhir Naik, Eapen Punnoose, Ranjan Kachru, Upendra Kaul, Arthur Kerner, Giuseppe Tarantini, Gian Piero Perna, Emanuela Racca, Andrea Mortara, Lorenzo Monti, Carlo Briguori, Gianpiero Leone, Roberto Amati, Mauro Salvatori, Antonio Di Chiara, Paolo Calabrò, Marcello Galvani, Stefano Provasoli, Keiichi Fukuda, Shintaro Nakano, Aleksandras Laucevičius, Saško Kedev, Ahmad Khairuddin, Robert K. Riezebos, Jorik R. Timmer, S. Heald, Ralph Stewart, Walter Mogrovejo Ramos, Marcin Demkow, Tomasz Mazurek, Hanna Szwed, Adam Witkowski, Nuno Ferreira, Fausto J. Pinto, Rúben Ramos, Bogdan A. Popescu, Călin Pop, L.A. Bockeriа, Е. А. Демченко, Alexander Romanov, Л. Л. Берштейн, Ahmed Al Jizeeri, Goran Stanković, Svetlana Apostolović, Nada Čemerlić Adjić, Marija Zdravković, Branko Beleslin, Milica Dekleva, Goran Davidović, Terrance Chua, David Foo, Kian Keong Poh, Mpiko Ntsekhe, Alessandro Sionís, Francisco Marı́n, Vicente Miró, Montserrat Gracida Blancas, José Ramón González‐Juanatey, Francisco Fernández‐Avilés, Jesús Peteiro, Jose Enrique Castillo Luena, Johannes Aspberg, Mariagrazia Rossi, Srun Kuanprasert, Sukit Yamwong, Nicola Johnston, Patrick Donnelly, Andrew Moriarty, Ahmed Elghamaz, Sothinathan Gurunathan, Nikolaos Karogiannis, Benoy N. Shah, Richard Trimlett, Michael B. Rubens, Edward Nicol, Tarun Mittal, Reinette Hampson, Reto Gamma, Mark de Belder, Thuraia Nageh, Steven Lindsay, Kreton Mavromatis, Todd D. Miller, Subhash Banerjee, Khaled Nour, Peter Stone

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsSt. Michael's Hospital
FundersNational Heart, Lung, and Blood InstituteNational Institutes of HealthNational Center for Advancing Translational SciencesU.S. Department of Health and Human Services
KeywordsMedicineConservative managementManagement strategyIschemiaCardiologyInternal medicineCoronary diseaseDiseaseCoronary heart diseaseConservative treatmentIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The ISCHEMIA trial (International Study of Comparative Health Effectiveness With Medical and Invasive Approaches) compared an initial invasive versus an initial conservative management strategy for patients with chronic coronary disease and moderate or severe ischemia, with no major difference in most outcomes during a median of 3.2 years. Extended follow-up for mortality is ongoing. METHODS: ISCHEMIA participants were randomized to an initial invasive strategy added to guideline-directed medical therapy or a conservative strategy. Patients with moderate or severe ischemia, ejection fraction ≥35%, and no recent acute coronary syndromes were included. Those with an unacceptable level of angina were excluded. Extended follow-up for vital status is being conducted by sites or through central death index search. Data obtained through December 2021 are included in this interim report. We analyzed all-cause, cardiovascular, and noncardiovascular mortality by randomized strategy, using nonparametric cumulative incidence estimators, Cox regression models, and Bayesian methods. Undetermined deaths were classified as cardiovascular as prespecified in the trial protocol. RESULTS: Baseline characteristics for 5179 original ISCHEMIA trial participants included median age 65 years, 23% women, 16% Hispanic, 4% Black, 42% with diabetes, and median ejection fraction 0.60. A total of 557 deaths accrued during a median follow-up of 5.7 years, with 268 of these added in the extended follow-up phase. This included a total of 343 cardiovascular deaths, 192 noncardiovascular deaths, and 22 unclassified deaths. All-cause mortality was not different between randomized treatment groups (7-year rate, 12.7% in invasive strategy, 13.4% in conservative strategy; adjusted hazard ratio, 1.00 [95% CI, 0.85-1.18]). There was a lower 7-year rate cardiovascular mortality (6.4% versus 8.6%; adjusted hazard ratio, 0.78 [95% CI, 0.63-0.96]) with an initial invasive strategy but a higher 7-year rate of noncardiovascular mortality (5.6% versus 4.4%; adjusted hazard ratio, 1.44 [95% CI, 1.08-1.91]) compared with the conservative strategy. No heterogeneity of treatment effect was evident in prespecified subgroups, including multivessel coronary disease. CONCLUSIONS: There was no difference in all-cause mortality with an initial invasive strategy compared with an initial conservative strategy, but there was lower risk of cardiovascular mortality and higher risk of noncardiovascular mortality with an initial invasive strategy during a median follow-up of 5.7 years. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT04894877.

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.274
Teacher spread0.245 · 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".

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Citations147
Published2022
Admission routes1
Has abstractyes

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