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Record W2971202256 · doi:10.1126/scitranslmed.aav6221

Increased soluble TREM2 in cerebrospinal fluid is associated with reduced cognitive and clinical decline in Alzheimer’s disease

2019· article· en· W2971202256 on OpenAlexfundno aff
Michael Ewers, Nicolai Franzmeier, Marc Suárez‐Calvet, Estrella Morenas‐Rodríguez, Miguel Ángel Araque Caballero, Gernot Kleinberger, Laura Piccio, Carlos Cruchaga, Yuetiva Deming, Martin Dichgans, John Q. Trojanowski, Leslie M. Shaw, Michael W. Weiner, Christian Haass

Bibliographic record

VenueScience Translational Medicine · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of HealthGenentechNational Institute of Neurological Disorders and StrokeIXICOH. Lundbeck A/SServierEisaiDeutsche ForschungsgemeinschaftNorthern California Institute for Research and EducationF. Hoffmann-La RocheUniversity of Southern CaliforniaPfizerBioClinicaBiogenU.S. Department of DefenseEli Lilly and CompanyBristol-Myers SquibbNovartis Pharmaceuticals CorporationMeso Scale DiagnosticsCure Alzheimer's FundJanssen Alzheimer Immunotherapy Research And DevelopmentEuropean CommissionNational Institute on AgingAlzheimer's Association
KeywordsCognitive declineCerebrospinal fluidTREM2DiseaseMedicineAlzheimer's diseaseInternal medicineCognitionDementiaNeurosciencePsychologyPsychiatryMicrogliaInflammation

Abstract

fetched live from OpenAlex

These results suggest that sTREM2 is associated with attenuated cognitive and clinical decline, a finding with important implications for future clinical trials targeting the innate immune response in AD.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.071
GPT teacher head0.347
Teacher spread0.276 · 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

Citations337
Published2019
Admission routes1
Has abstractyes

Explore more

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