MétaCan
Menu
Back to cohort
Record W4391166174 · doi:10.1016/s1474-4422(23)00454-4

Safety and efficacy of laquinimod for Huntington's disease (LEGATO-HD): a multicentre, randomised, double-blind, placebo-controlled, phase 2 study

2024· article· en· W4391166174 on OpenAlexaff
Ralf Reilmann, Karen E. Anderson, Andrew Feigin, Sarah J. Tabrizi, Blair R. Leavitt, Julie C. Stout, Paola Piccini, Robin Schubert, Pippa S. Loupe, Anna Teige Wickenberg, Beth Borowsky, Gail Rynkowski, Rita Volkinshtein, Thomas Li, Juha‐Matti Savola, Michael R. Hayden, Mark Forrest Gordon, Mark Guttman, Lynn A. Raymond, Tilak Mendis, Oksana Suchowersky, Jody Corey‐Bloom, Michael D. Geschwind, Frederick J. Marshall, Karen Marder, Martha Nance, Brad A. Racette, Jee Bang, Victoria Segro, Katherine E. McDonell, John Kamholz, Mark S. LeDoux, Juan Sanchez‐Ramos, Giuseppe Demichele, Caterina Mariotti, Ferdinando Squitieri, Paola Soliveri, Pietro Cortelli, José Esteban Muñoz García, J. Kulisevsky Bojarski, José Luis López-Sendón, Koldo Berganzo Corrales, Esther Cubo, José Manuel García Moreno, Michael Orth, Josef Priller, Carsten Saft, A. Weindl, David Craufurd, Z Miedzybrodzka, Hugh Rickards, Rhys Richard Davies, Nayana Lahiri, Deborah Ruddy, Suresh K Komati, Oliver William John Quarrell, Leonor Correira Guedes, Raymund A.C. Roos, Zuleykha Zalyalova, С. Н. Иллариошкин, А В Густов, Jiří Klempíř

Bibliographic record

VenueThe Lancet Neurology · 2024
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsiCo Therapeutics (Canada)University of British Columbia
FundersWellcome TrustActive BiotechEuropean Huntington's Disease NetworkTeva Pharmaceutical Industries
KeywordsHuntington's diseaseMedicinePlaceboClinical endpointInternal medicineAdverse effectPhysical therapyClinical trialDiseasePathology

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 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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.339
Teacher spread0.292 · 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 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

Citations33
Published2024
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet NeurologySame topicGenetic Neurodegenerative DiseasesFrench-language works237,207