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Record W4308333648 · doi:10.3171/2022.9.jns22987

Endovascular treatment of brain arteriovenous malformations: clinical outcomes of patients included in the registry of a pragmatic randomized trial

2022· article· en· W4308333648 on OpenAlexaff
Jean Raymond, Jean-Christophe Gentric, Elsa Magro, Lorena Nico, Emma Bacchus, Ruby Klink, Christophe Cognard, Anne-Christine Januel, Jean-François Sabatier, Daniela Iancu, Alain Weill, Daniel Roy, Michel W. Bojanowski, Chiraz Chaalala, Xavier Barreau, Vincent Jecko, Chrysanthi Papagiannaki, Stéphane Derrey, Eimad Shotar, Philippe Cornu, Omer F. Eker, Isabelle Pelissou-Guyotat, Michel Piotin, Sorin Aldéa, Rémy Beaujeux, François Proust, René Anxionnat, Vincent Costalat, Marine Le Corre, Jean-Yves Gauvrit, Xavier Morandi, Hervé Brunel, Pièrre-Hugues Roche, Thomas Graillon, Emmanuel Chabert, Denis Herbreteau, Hubert Desal, Denis Trystram, Charlotte Barbier, Thomas Gaberel, Thanh N. Nguyen, Geraldine Viard, Guylaine Gévry, Tim E. Darsaut, Cian O′Kelly, Michael M. C. Chow, J. Max Findlay, Jeremy Rempel, Robert Fahed, Howard Lesiuk, Brian Drake, Marlise dos Santos, Michel Nonent, Julien Ognard, Mourad Cheddad El Aouni, Elsa Magro, Romuald Seizeur, Serge Timsit, Olivier Pradier, Hubert Desal, Romain Boursier, F. Thillays, Vincent Roualdes, Raphaël Blanc, Lionel Calvière, J.-Y. Gauvrit, Hélène Raoult, François Eugene, Anthony Le Bras, Jean‐Christophe Ferré, Christophe Paya, Isabelle Lecouillard, Elodie Nouhaud, Thomas Ronziere, Olivier Naggara, Christine Rodriguez-Régent, Basile Kerleroux, Évelyne Emery, Emmanuel Touzé, Roberto Riva, Isabelle Pellisou-Guyotat, Jacques Guyotat, Monsef Berhouma, Chloé Dumot, Alessandra Biondi, Laurent Thines, Nassim Bougaci, Guillaume Charbonnier, Serge Bracard, Benjamin Gory, Thierry Civit, Valérie Bernier-Chastagner, Gaultier Marnat, Guillaume Penchet, Edouard Gimbert, Aymeri Huchet, Grégoire Boulouis, Richard Bibi, Héloïse Ifergan, Kévin Janot, Stéphane Velut, Hadrien Peyrière, Jean-Marc Kaya, Adamou Touta, Lucas Troude, Sébastien Boissonneau, Frédéric Clarençon, Nader Sourour, Stéphanie Lenck, Kévin Premat, Anne‐Laure Boch, Aurélien Nouet, Alain Bonafé, Cyril Dargazanli, Gregory Gascou, Pierre-Henri Lefèvre, Carlos Riquelme, Raoul Pop, Hélène Cebula, Irène Ollivier, Giorgio Spatola, Laurent Spell, Vanessa Chalumeau, Sophie Gallas, Léon Ikka, Cristian Mihalea, Augustin Ozanne, Jildaz Caroff, Charbel Mounayer, Aymeric Rouchaud, François Caire, F. Ricolfi, Pierre Thouant, Catherine Cao, Klaus-Luc Mourier, Walid Farah, Mohamad Abdalkader, Thien Huynh, Rabih G. Tawk, Andrew P. Carlson, Luciana Alves Oliveira Silva, Nayara de Lima Froio, Gisele Sampaio Silva, Francisco J. A. Mont’Alverne, Jose Luri Martins, George Nilton Nunes Mendes, Rodrigo Rivera Miranda

Bibliographic record

VenueJournal of neurosurgery · 2022
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsUniversity of Alberta HospitalHealth Sciences CentreCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineEmbolizationRadiosurgeryModified Rankin ScaleRandomized controlled trialPerioperativeSurgeryArteriovenous malformationClinical trialIntracranial Arteriovenous MalformationsRadiologyAngiographyCerebral angiographyInternal medicineRadiation therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: The role of endovascular treatment in the management of patients with brain arteriovenous malformations (AVMs) remains uncertain. AVM embolization can be offered as stand-alone curative therapy or prior to surgery or stereotactic radiosurgery (SRS) (pre-embolization). The Treatment of Brain AVMs Study (TOBAS) is an all-inclusive pragmatic study that comprises two randomized trials and multiple registries. METHODS: Results from the TOBAS curative and pre-embolization registries are reported. The primary outcome for this report is death or dependency (modified Rankin Scale [mRS] score > 2) at last follow-up. Secondary outcomes include angiographic results, perioperative serious adverse events (SAEs), and permanent treatment-related complications leading to an mRS score > 2. RESULTS: From June 2014 to May 2021, 1010 patients were recruited in TOBAS. Embolization was chosen as the primary curative treatment for 116 patients and pre-embolization prior to surgery or SRS for 92 patients. Clinical and angiographic outcomes were available in 106 (91%) of 116 and 77 (84%) of 92 patients, respectively. In the curative embolization registry, 70% of AVMs were ruptured, and 62% were low-grade AVMs (Spetzler-Martin grade I or II), while the pre-embolization registry had 70% ruptured AVMs and 58% low-grade AVMs. The primary outcome of death or disability (mRS score > 2) occurred in 15 (14%, 95% CI 8%-22%) of the 106 patients in the curative embolization registry (4 [12%, 95% CI 5%-28%] of 32 unruptured AVMs and 11 [15%, 95% CI 8%-25%] of 74 ruptured AVMs) and 9 (12%, 95% CI 6%-21%) of the 77 patients in the pre-embolization registry (4 [17%, 95% CI 7%-37%] of 23 unruptured AVMs and 5 [9%, 95% CI 4%-20%] of 54 ruptured AVMs) at 2 years. Embolization alone was confirmed to occlude the AVM in 32 (30%, 95% CI 21%-40%) of the 106 curative attempts and in 9 (12%, 95% CI 6%-21%) of 77 patients in the pre-embolization registry. SAEs occurred in 28 of the 106 attempted curative patients (26%, 95% CI 18%-35%, including 21 new symptomatic hemorrhages [20%, 95% CI 13%-29%]). Five of the new hemorrhages were in previously unruptured AVMs (n = 32; 16%, 95% CI 5%-33%). Of the 77 pre-embolization patients, 18 had SAEs (23%, 95% CI 15%-34%), including 12 new symptomatic hemorrhages [16%, 95% CI 9%-26%]). Three of the hemorrhages were in previously unruptured AVMs (3/23; 13%, 95% CI 3%-34%). CONCLUSIONS: Embolization as a curative treatment for brain AVMs was often incomplete. Hemorrhagic complications were frequent, even when the specified intent was pre-embolization before surgery or SRS. Because the role of endovascular treatment remains uncertain, it should preferably, when possible, be offered in the context of a randomized trial.

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 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)0.003
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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
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 head0.035
GPT teacher head0.323
Teacher spread0.288 · 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 designRandomized trial
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

Citations29
Published2022
Admission routes1
Has abstractyes

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