MétaCan
Menu
Back to cohort
Record W2807837295 · doi:10.1016/j.clnu.2018.05.032

Effect of vegetarian dietary patterns on cardiometabolic risk factors in diabetes: A systematic review and meta-analysis of randomized controlled trials

2018· review· en· W2807837295 on OpenAlexafffund
Effie Viguiliouk, Cyril W.C. Kendall, Hana Kahleová, Dario Rahelić, Jordi Salas‐Salvadó, Vivian L. Choo, Sonia Blanco Mejía, Sarah Stewart, Lawrence A. Leiter, David J.A. Jenkins, John L. Sievenpiper

Bibliographic record

VenueClinical Nutrition · 2018
Typereview
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsUniversity of TorontoUniversity of CalgaryUniversity of SaskatchewanSt. Michael's Hospital
FundersNovo Nordisk CanadaInstituto de Salud Carlos IIIAlmond Board of CaliforniaCanadian Agri-Food Policy InstituteInstituto DanoneAmgen CanadaNovo NordiskCanada Research ChairsSanofiCanadian Society of Endocrinology and MetabolismPfizer CanadaOntario Ministry of Research, Innovation and ScienceCanada Foundation for InnovationHospital for Sick ChildrenAdvanced Foods and Materials NetworkGriffin HospitalNational Dried Fruit Trade AssociationCanola Council of CanadaKellogg'sAlpro FoundationInternational Nut and Dried Fruit CouncilPhysicians' Services Incorporated FoundationPeanut InstituteCanadian Nutrition SocietyUnileverArizona State UniversityDanone Institute of CanadaAstraZeneca CanadaCanadian Institutes of Health ResearchCanadian Diabetes AssociationMinisterio de Ciencia y TecnologíaOntario Research FoundationPepsiCoCognitive Neuroscience SocietyInstitute of Nutrition, Metabolism and DiabetesCalifornia Strawberry CommissionRocheGeneral MillsEuropean CommissionBanting and Best Diabetes Centre, University of TorontoSt. Michael's Hospital FoundationMerck Sharp and DohmeFlax Council of CanadaNovartisSaskatchewan Pulse GrowersAmgenInstitute of Food TechnologistsAbbott LaboratoriesBayerDepartament de Salut, Generalitat de CatalunyaCoca-ColaPfizerEli Lilly and CompanyJohnson and JohnsonMeso Scale DiagnosticsGovernment of Canada
KeywordsMedicineMeta-analysisRandomized controlled trialDiabetes mellitusType 2 diabetesInternal medicineEndocrinology

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)0.010
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0190.028
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.394
Teacher spread0.321 · 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 designMeta-analysis
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

Citations198
Published2018
Admission routes2
Has abstractno

Explore more

Same venueClinical NutritionSame topicAgriculture Sustainability and Environmental ImpactFrench-language works237,207