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Record W4380883360 · doi:10.1002/alz.067743

Tau‐PET in retired contact sport athletes

2023· article· en· W4380883360 on OpenAlexaff
Anna Vasilevskaya, Foad Taghdiri, Namita Multani, Miracle Ozzoude, Apameh Tarazi, Mozhgan Khodadadi, Richard Wennberg, Pablo Rusjan, Sylvain Houle, Robin Green, Brenda Colella, Kaj Blennow, Henrik Zetterberg, Thomas K. Karikari, David J. Mikulis, Karen D. Davis, Charles H. Tator, Maria Carmela Tartaglia

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsToronto Rehabilitation InstituteCentre for Addiction and Mental HealthMcGill UniversityDouglas Mental Health University InstituteOntario Brain InstituteOccupational Cancer Research CentreToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsChronic traumatic encephalopathyAthletesMedicineNuclear medicineInternal medicineConcussionDepression (economics)VoxelPsychologyCardiologyPhysical therapyRadiologyPoison control

Abstract

fetched live from OpenAlex

Abstract Background Long term effects of concussions and sub‐concussions in athletes can include delayed neurodegeneration as seen in Alzheimer’s disease (AD) and chronic traumatic encephalopathy (CTE). The PET tracer [18F]AV1451 has high affinity and selectivity for paired helical filament‐tau in vivo, the pathological form of tau in CTE and AD. The aim of this study was to assess the effect of tau‐PET binding on brain atrophy in former contact sports athletes and evaluate differences between subjects with and without tau‐PET binding. Method 31 retired athletes (age:53±15; sex: 29M, 2F; concussions/athlete: 7±6) negative for AD (CSF: p‐tau <68 pg/mL and ATI >0.8 and/or normal range of plasma p‐tau181) and 54 normal controls (age: 50±13) were included. All athletes completed MRI, [18F]AV1451 tau‐PET, the Sport Concussion Assessment tool 2 (SCAT2) and the Personality Assessment Inventory (PAI) depression and anxiety scales. Tau‐PET standardized uptake value ratios (SUVR) images were created using cerebellar gray matter (GM); tau‐PET positivity was set to ≥1.30 SUVR. Normal control MRI scans were used to create age/intracranial volume corrected GM volume maps. Result GM volumes were significantly lower in tau‐PET positive voxels in retired athletes ≥40 y.o. (N = 25; ‐0.48±0.40 vs. ‐0.42±0.41; p = .02) and there was a trend for lower GM volumes in tau‐PET positive voxels across athletes of all ages (N = 30; ‐0.40±0.42 vs. ‐0.35±0.41; p = .09), compared to tau‐PET negative voxels. Mean tau‐PET SUVR values in the cortical GM were used to divide retired athletes into tau‐PET positive (N = 20; SUVR ≥1.30) and negative (N = 11; SUVR <1.30) groups. The tau‐PET positive group did not differ in age (52±16 vs. 56±12; p = .4) or concussion number (9±7 vs. 7±5; p = 1.0) from the tau‐PET negative group; the tau‐PET positive group had significantly higher SCAT2 symptom severity (28.26±25.15 vs. 8.89±12.67; p = .01), PAI anxiety t‐scores (49.90±11.25 vs. 42.55±4.13; p = .01), and a trend for higher PAI depression t‐scores (54.75±16.58 vs. 47.09±8.08; p = .095), compared to the tau‐PET negative group. Conclusion Tau‐PET may be useful for identifying those at risk for delayed neurodegeneration. Older athletes showed relatively greater brain atrophy in tau‐PET positive regions, suggesting that detection of tau‐PET at a younger age may enable interventions to prevent future degeneration.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.085
GPT teacher head0.349
Teacher spread0.264 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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