Venous thromboembolism in patients immobilised at home
Bibliographic record
Abstract
The natural history of venous thromboembolism (VTE), its impact on outcome and the rationale for prophylaxis are well established for hospitalised, acutely ill medical patients [1–10], but are less clear for nonhospitalised immobilised patients. Current guidelines for antithrombotic therapy recommend the use of prophylaxis in hospitalised, acutely ill medical patients, and suggest against its use in chronically immobilised persons at home and in patients with isolated lower-leg injuries requiring leg immobilisation [11]. However, there are no suggestions on the use of VTE prophylaxis in acutely ill medical patients immobilised at home. Fatal PE after immobility at home was more frequent than after immobility in hospital The coordinator of the RIETE Registry was Manuel Monreal (Spain). The RIETE Steering Committee members were Hervè Decousus (France), Paolo Prandoni (Italy) and Benjamin Brenner (Israel). The RIETE National Coordinators were Raquel Barba (Spain), Pierpaolo Di Micco (Italy), Laurent Bertoletti (France), Sebastian Schellong (Germany), Inna Tzoran (Israel), Abilio Reis (Portugal), Marijan Bosevski (Republic of Macedonia), Henri Bounameaux (Switzerland), Radovan Malý (Czech Republic) and Philip Wells (Canada). The RIETE Registry Coordinating Center was S&H Medical Science Service, Madrid, Spain. The members of the RIETE group were as follows. Spain: M. Alcalde-Manero, V. Andújar, J.I. Arcelus, R. Barba, M. Barrón, B. Barrón-Andrés, J. Bascuñana, A. Blanco-Molina, I. Casado, F. Conget, C. de Ancos, F. del Molino, J. del Toro, J.A. Díaz, C. Falgá, A.I. Farfán, C. Fernández-Capitán, C. Font, L. Font, P. Gallego, F. García-Bragado, V. Gómez, J. González, D. González-Marcano, E. Grau, R. Guijarro, J. Gutiérrez, L. Hernández, S. Hernández-Huerta, L. Jara-Palomares, M.J. Jaras, D. Jiménez, J.L. Lobo, L. López-Jiménez, L. López-Montes, R. López-Reyes, J.B. López-Sáez, M.A. Lorente, A. Lorenzo, M. Macià, O. Madridano, P.J. Marchena, J.M. Martín-Antorán, F. Martín-Martos, M. Mellado, M. Monreal, M.V. Morales, D. Nauffal, J.A. Nieto, M.J. Núñez, R. Otero, B. Pagán, J.M. Pedrajas, G. Pérez-Rus, M.L. Peris, I. Pons, J.A. Porras, A. Riera-Mestre, A. Rivas, M.A. Rodríguez-Dávila, P. Román, V. Rosa, N. Ruiz-Giménez, J. Ruiz, A. Sampériz, R. Sánchez, O. Sanz, S. Soler, J.M. Suriñach, G. Tiberio, R. Tirado, J. Trujillo-Santos, F. Uresandi, B. Valero, R. Valle, J. Vela, C. Vilar, A. Villalobos and J. Villalta. Argentina: P. Malfante P. Belgium: P. Verhamme and T. Vanassche. Brazil: T. Gadelha. Canada: P. Wells. Czech Republic: R. Malý and J. Hirmerova. France: L. Bertoletti, A. Bura-Riviere, F. Moustafa, D. Farge-Bancel, A. Hij, I. Mahe, A. Merah and I. Quere. Germany: S. Schellong. Israel: A. Braester, B. Brenner, I. Tzoran and D. Zeltser. Italy: A. Apollonio, G. Barillari, M. Ciammaichella, F. Dalla Valle, P. Di Micco, P. Ferrazzi, A. Guida, R. Maida, F. Pace, S. Pasca, C. Piovella, P. Prandoni, R. Re, L. Rota, E. Tiraferri, D. Tonello, A. Tufano, A. Visonà and B. Zalunardo. Portugal: A. Mondragão, J.L. Ribeiro de Almeida and M.S. Sousa. Republic of Macedonia: M. Bosevski and M. Zdraveska. Switzerland: A. Alatri, H. Bounameaux, L. Calanca and L. Mazzolai. Venezuela: J.C. Serrano. We thank S&H Medical Science Service for their quality control data, logistic and administrative support.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".