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Record W2560615061 · doi:10.1177/2047487316682186

Genetic invalidation of Lp-PLA<sub>2</sub> as a therapeutic target: Large-scale study of five functional Lp-PLA<sub>2</sub>-lowering alleles

2016· review· en· W2560615061 on OpenAlexaff
John Gregson, Daniel F. Freitag, Praveen Surendran, Nathan O. Stitziel, Rajiv Chowdhury, Stephen Burgess, Stephen Kaptoge, Pei Gao, James R Staley, Peter Willeit, Sune F. Nielsen, Muriel Caslake, Stella Trompet, Linda M. Polfus, Kari Kuulasmaa, Jukka Kontto, Markus Perola, Stefan Blankenberg, Giovanni Veronesi, Francesco Gianfagna, Satu Männistö, Akinori Kimura, Honghuang Lin, Dermot F. Reilly, Mathias Gorski, Vladan Mijatovic, Patricia B. Munroe, Georg Ehret, Alex Thompson, Maria Uria-Nickelsen, Anders Mälarstig, Abbas Dehghan, Thomas Vogt, Taishi Sasaoka, Fumihiko Takeuchi, Norihiro Kato, Yoshiji Yamada, Frank Kee, Martina Müller‐Nurasyid, Jean Ferrières, Dominique Arveiler, Philippe Amouyel, Veikko Salomaa, Eric Boerwinkle, Simon G. Thompson, Ian Ford, J. Wouter Jukema, Naveed Sattar, Chris J. Packard, Abdulla al Shafi Majumder, Dewan S Alam, Panos Deloukas, Heribert Schunkert, Nilesh J. Samani, Sekar Kathiresan, Børge G. Nordestgaard, Danish Saleheen, Joanna M. M. Howson, Emanuele Di Angelantonio, Adam S. Butterworth, John Danesh

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2016
Typereview
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsCentre for Global Health Research
FundersNational Heart, Lung, and Blood InstituteMedical Research CouncilUniversité de GenèveHelmholtz Zentrum MünchenNational Institute for Health and Care ResearchBundesministerium für Bildung und ForschungInstitut National de la Santé et de la Recherche MédicaleNIHR Cambridge Biomedical Research CentreEuropean CommissionRegione LombardiaSydäntutkimussäätiöBritish Heart FoundationMünchner Zentrum für GesundheitswissenschaftenWellcome TrustFoundation for Cardiovascular Research
KeywordsMedicineAlleleLipoprotein-associated phospholipase A2Internal medicineGenotypingRandomized controlled trialGastroenterologyGenotypeGeneticsGeneLipoproteinBiologyCholesterol

Abstract

fetched live from OpenAlex

is unlikely to be a causal risk factor.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.286
Teacher spread0.258 · 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
GenreReview

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

Citations30
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Preventive CardiologySame topicLipoproteins and Cardiovascular HealthFrench-language works237,207