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Record W2531444270 · doi:10.1212/wnl.0000000000003305

Progression of brain atrophy in PSP and CBS over 6 months and 1 year

2016· article· en· W2531444270 on OpenAlexaff
Shubir Dutt, Richard J. Binney, Hilary W. Heuer, Phi Luong, Suneth Attygalle, Priyanka Bhatt, Gabe Marx, Jonathan Elofson, Maria Carmela Tartaglia, Irene Litvan, Scott M. McGinnis, Bradford C. Dickerson, John Kornak, Dana Waltzman, Lisa Voltarelli, Norbert Schuff, Gil D. Rabinovici, Joel H. Kramer, Clifford R. Jack, Bruce L. Miller, Howard J. Rosen, Adam L. Boxer, David R. Williams, Anne Lafontaine, Connie Marras, Mandar Jog, Michael Panisset, Anthony E. Lang, Lesley H. Parker, Alistair Stewart, Jean‐Christophe Corvol, Jean‐Philippe Azulay, Philippe Couratier, Brit Mollenhauer, Stefan Lorenzl, Albert Ludolph, R. Benecke, Günter U. Höglinger, Axel Lipp, Heinz Reichmann, Dirk Woitalla, Dennis Chan, Adam Zermansky, David J. Burn, Andrew J. Lees, Illana Gozes, Iryna Lobach, Erik D. Roberson, Lawrence S. Honig, Edward Zamrini, Rajesh Pahwa, Yvette Bordelon, Erika Driver-Dunkley, Stephanie Lessig, Mark Lew, Kyle Womack, Bradley F. Boeve, Joseph M. Ferrara, Argyle Hillis, Daniel Kaufer, Rajeev Kumar, Tao Xie, Steven A. Gunzler, Theresa Zesiewicz, Praveen Dayalu, Lawrence I. Golbe, Murray Grossman, Joseph Jankovic, Scott McGinnis, A. Parra Santiago, Paul Tuite, Stuart Isaacson, Julie Leegwater‐Kim, David S. Knopman, Lon S. Schneider, Rachelle S. Doody, Mary Koestler, Viviana Van Deerlin, Christopher Randolph, Steve Whitaker, Joe Hirman, Michael Gold, Bruce H. Morimoto

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsOccupational Cancer Research CentreUniversity of Toronto
FundersNIHR Cambridge Biomedical Research CentreNational Institute of Neurological Disorders and StrokeTau ConsortiumNational Institute for Health and Care ResearchNational Institutes of HealthFORUM PharmaceuticalsBristol-Myers SquibbEli Lilly and CompanyLarry L. Hillblom FoundationMayo Foundation for Medical Education and ResearchNational Institute on AgingTauRx PharmaceuticalsBiogenGenentech
KeywordsProgressive supranuclear palsyAtrophyPonsBrainstemParkinsonismMedicinePsychologyPathologyInternal medicineDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the utility and reliability of volumetric MRI in measuring disease progression in the 4 repeat tauopathies, progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS), to support clinical development of new tau-directed therapeutic agents. METHODS: Six- and 12-month changes in regional MRI volumes and PSP Rating Scale scores were examined in 55 patients with PSP and 33 patients with CBS (78% amyloid PET negative) compared to 30 normal controls from a multicenter natural history study. Longitudinal voxel-based morphometric analyses identified patterns of volume loss, and region-of-interest analyses examined rates of volume loss in brainstem (midbrain, pons, superior cerebellar peduncle), cortical, and subcortical regions based on previously validated atlases. Results were compared to those in a replication cohort of 226 patients with PSP with MRI data from the AL-108-231 clinical trial. RESULTS: Patients with CBS exhibited greater baseline atrophy and greater longitudinal atrophy rates in cortical and basal ganglia regions than patients with PSP; however, midbrain and pontine atrophy rates were similar. Voxel-wise analyses showed distinct patterns of regional longitudinal atrophy in each group as compared to normal controls. The midbrain/pons volumetric ratio differed between diagnoses but remained stable over time. In both patient groups, brainstem atrophy rates were correlated with disease progression measured using the PSP Rating Scale. CONCLUSIONS: Volume loss is quantifiable over a period of 6 months in CBS and PSP. Future clinical trials may be able to combine CBS and PSP to measure therapeutic effects.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.135

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.268
Teacher spread0.260 · 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 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".

Quick stats

Citations98
Published2016
Admission routes1
Has abstractyes

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