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Record W4283644627 · doi:10.1016/s1470-2045(22)00160-7

2022 international clinical practice guidelines for the treatment and prophylaxis of venous thromboembolism in patients with cancer, including patients with COVID-19

2022· review· en· W4283644627 on OpenAlexaff
Dominique Farge, Corinne Frère, Jean M. Connors, Alok A. Khorana, Ajay K. Kakkar, Cihan Ay, Benjamin Brenner, Pedro Henrique Prata, Dialina Brilhante, Darko Antić, Patricia Casais, Cecilia Guillermo, Takayuki Ikezoe, Syed A. Abutalib, Luis Antonio Meillón‐García, Henri Bounameaux, Ingrid Pabinger, James D. Douketis, Walter Ageno, Fernando Ajauro, Thierry Alcindor, Pantep Angchaisuksiri, Juan I. Arcelus, Raquel Barba, Ali Bazarbachii, Okba Bensaoula, Ilham Benzidia, Darius Bita, Viktoria Bitsadze, Dorit Blickstein, Mark Blostein, Isabel Bogalho, A.A.G.S. Brandāo, Rodrigo T. Calado, Alain Carpentier, José Ceresetto, Rufaro S Chitsike, J. Connault, Catarina Jacinto Correia, Benjamin Crichi, Erich Vinícius De Paula, Ahmet Muzaffer Demir, Laure Deville, Ludovic Doucet, Vera Dounaevskaia, C. Durant, Ellis Martin, Joseph Emmerich, Anna Falanga, Carme Font, Enrique Gallardo, Thomas Gary, Filipe Gonçalves, Jean‐Christophe Gris, Hiromi Hayashi, A. Hij, Luis Jara‐Palomares, David Jiménez, J. Kh. Khizroeva, Michel N'Guessan, Florian Länger, C. Le Hello, Christine Le Maignan, Ramón Lecumberri, Lai Heng Lee, Zachary Liederman, Duarte Machado, А. D. Makatsariya, Alberto Maneyro, Zora Marjanovic, Serban Milhaileanu, Manuel Monréal, Sara Moráis, António Moreira, Mikio Mukai, Arlette Ndour, Luciana Correa Oliveira de Oliveira, Remedios Otero-Candelara, Maria Carolina Tostes Pintão, Florian Posch, Pascal Prilollet, Hanadi Rafii, Daniel Dias Ribeiro, Hanno Riess, Marc Righini, Helia Robert‐Ebadi, Cynthia Rothschild, André Roussin, José Antonio Rueda Camino, Pedro Ruiz‐Artacho, Gleb Saharov, Joana Santos, M. Sebuhyan, Ali Shamseddine, Galia Spectre, Alì Taher, Javier Trujillo‐Santos, Inna Tzoran, Stéphane Villiers, Raymond Wong, Yugo Yamashita, Alexandra Yannoutsos, Chikao Yasuda

Bibliographic record

VenueThe Lancet Oncology · 2022
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster UniversityMcGill University Health Centre
FundersNational Institutes of HealthLEO PharmaServierAstellas PharmaNippon ShinyakuSociété Académique de GenèveIncyteInternational Society on Thrombosis and HaemostasisBristol-Myers SquibbEli Lilly and CompanyAstraZenecaCSL BehringAlnylam PharmaceuticalsDaiichi-SankyoTeva Pharmaceutical IndustriesDaiichi Sankyo EuropeSanofiAmgenNational Heart, Lung, and Blood InstitutePfizerCelgene
KeywordsMedicineThrombosisRivaroxabanCancerVenous thrombosisIntensive care medicineApixabanInternal medicineSurgeryWarfarinAtrial fibrillation

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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 head0.276
GPT teacher head0.517
Teacher spread0.241 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations448
Published2022
Admission routes1
Has abstractno

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