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Record W2766827627 · doi:10.1007/s00125-017-4475-0

Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis

2017· review· en· W2766827627 on OpenAlexfundno aff
Nicola M. McKeown, Hassan S. Dashti, Jiantao Ma, Danielle E. Haslam, Jessica C. Kiefte–de Jong, Caren E. Smith, Toshiko Tanaka, Mariaelisa Graff, Rozenn N. Lemaître, Denis Rybin, Emily Sonestedt, Alexis C. Wood, Dennis O. Mook‐Kanamori, Yanping Li, Carol A. Wang, Elisabeth T. M. Leermakers, Vera Mikkilä, Kristin L. Young, Kenneth J. Mukamal, L. Adrienne Cupples, Christina‐Alexandra Schulz, Tzu-An Chen, Ruifang Li‐Gao, Tao Huang, Wendy H. Oddy, Olli T. Raitakari, Kenneth Rice, James B. Meigs, Ulrika Ericson, Lyn M. Steffen, Frits R. Rosendaal, Albert Hofman, Mika Kähönen, Bruce M. Psaty, Louise Brunkwall, André G. Uitterlinden, Jorma Viikari, David S. Siscovick, Ilkka Seppälä, Kari E. North, Dariush Mozaffarian, Josée Dupuis, Marju Orho‐Melander, Stephen S. Rich, Renée de Mutsert, Lu Qi, Craig E. Pennell, Oscar H. Franco, Terho Lehtimäki, Mark A. Herman

Bibliographic record

VenueDiabetologia · 2017
Typereview
Languageen
FieldMedicine
TopicDiet, Metabolism, and Disease
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeSociale en Geesteswetenschappen, NWONational Institute of Diabetes and Digestive and Kidney DiseasesNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNational Institute on AgingNational Institutes of HealthRegion SkåneMedicinska Fakulteten, Lunds UniversitetGovernment of Western AustraliaPaavo Nurmen SäätiöSydäntutkimussäätiöEmil Aaltosen SäätiöNational Center for Advancing Translational SciencesLeids Universitair Medisch CentrumSigne ja Ane Gyllenbergin SäätiöNederlandse Organisatie voor Wetenschappelijk OnderzoekMinisterie van Onderwijs, Cultuur en WetenschapZonMwSuomen KulttuurirahastoErasmus Medisch CentrumCanadian Institutes of Health ResearchYrjö Jahnssonin SäätiöCancerfondenErasmus Universiteit RotterdamAmerican Heart AssociationJuho Vainion SäätiöUniversity of Western AustraliaU.S. Department of AgricultureUniversiteit LeidenAgricultural Research ServiceAcademy of FinlandUnited States-Israel Binational Science FoundationWomen and Infants Research FoundationTampereen TuberkuloosisäätiöKelaRaine Medical Research FoundationMedicinska ForskningsrådetEuropean CommissionMassachusetts General HospitalMinisterie van Volksgezondheid, Welzijn en SportCentre International de Recherche sur le Cancer
KeywordsSugarFGF21Diabetes mellitusInsulinMeta-analysisMedicineEndocrinologyInternal medicineFood scienceBiologyFibroblast growth factor

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)0.002
metaresearch head score (Gemma)0.006
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.014
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.110
GPT teacher head0.328
Teacher spread0.218 · 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

Citations39
Published2017
Admission routes1
Has abstractno

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