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Record W3031397655 · doi:10.1093/cdn/nzaa046_046

Nordic Dietary Pattern and Cardiometabolic Outcomes: A Systematic Review and Meta-Analysis of Prospective Cohort Studies and Randomized Controlled Trials

2020· review· en· W3031397655 on OpenAlex
Paraskevi Massara, Effie Viguiliouk, Andrea J. Glenn, Tauseef Khan, Laura Chiavaroli, Sonia Blanco Mejía, Elena M. Comelli, Ursula Schwab, Ulf Risérus, Dario Rahelić, Hana Kahleová, Jordi Salas‐Salvadó, Cyril W.C. Kendall, John L. Sievenpiper

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCurrent Developments in Nutrition · 2020
Typereview
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsSt. Michael's HospitalHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineCohortMeta-analysisDyslipidemiaCohort studyOverweightRandomized controlled trialRelative riskProspective cohort studyDiabetes mellitusType 2 diabetesGlycemicObesityConfidence intervalEndocrinologyInsulin

Abstract

fetched live from OpenAlex

Nordic dietary patterns may have a role in diabetes management. To inform the update of the European Association for the Study of Diabetes (EASD) clinical practice guidelines, we conducted a systematic review and meta-analysis of Nordic dietary patterns and cardiometabolic outcomes. We searched Cochrane, MEDLINE, and EMBASE through Aug 2019. We included cohort studies of ≥1 y and RCTs of ≥3 wk. Two independent reviewers extracted data and assessed risk of bias. The primary outcome was CVD in cohort studies and LDL-C in RCTs. Secondary outcomes included CHD and stroke in cohort studies and markers of glycemic control, lipids, adiposity, BP and inflammation in RCTs. Data were expressed as relative risks (RR) or mean differences (MD) with 95% confidence intervals (CI). GRADE assessed the certainty of evidence. We identified 10 cohort studies in people inclusive of diabetes and 6 RCTs in people with ≥1 risk factor (overweight/obesity, metabolic syndrome, dyslipidemia). Nordic dietary patterns were associated with lower risk of the primary outcome, total CVD (RR, 0.93 [95% CI, 0.88, 0.99]) and CVD mortality (0.83 [0.73, 0.94]), as well as stroke (0.88 [0.79, 0.98]) in cohort studies. Although Nordic dietary patterns did not reduce the primary outcome, LDL-C, in RCTs, there were reductions in other established lipid targets, non-HDL-C (MD, −0.49 mmol/L [95% CI, −0.67, −0.30]) and apo B (0.15 g/L [−0.19, −0.11]), as well as weight (2.10 kg [−3.58, −0.63]), BMI (−0.90 kg/m2 [−1.11, −0.69]), waist circumference (2.22 cm [−3.36, −1.09], diastolic BP (1.78 mmHg [−3.21, −0.35]) and insulin (7.23 pmol/L [−11.88, −2.58]). The certainty of evidence was moderate for the reductions in CVD mortality, established lipid targets, adiposity markers, and insulin and low for all other outcomes. Nordic dietary patterns are associated with decreased CVD and reduce cardiometabolic risk factors in people inclusive of or at risk for diabetes. The available data indicate a benefit for people with diabetes with a moderate likelihood that more studies will alter our estimates. (clinicaltrials.gov identifier, NCT04094194) Diabetes and Nutrition Study Group (DNSG) of the EASD, CIHR, Diabetes Canada, Joannah and Brian Lawson Center for Child Nutrition, Connaught Fund, Onassis Foundation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0710.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.187
GPT teacher head0.444
Teacher spread0.257 · 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