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Record W3091543623 · doi:10.1161/jaha.120.017728

Relation of Different Fruit and Vegetable Sources With Incident Cardiovascular Outcomes: A Systematic Review and Meta‐Analysis of Prospective Cohort Studies

2020· review· en· W3091543623 on OpenAlexafffundabout
Andreea Zurbau, Fei Au‐Yeung, Sonia Blanco Mejía, Tauseef Khan, Vladimir Vuksan, Elena Jovanovski, Lawrence A. Leiter, Cyril W.C. Kendall, David J.A. Jenkins, John L. Sievenpiper

Bibliographic record

VenueJournal of the American Heart Association · 2020
Typereview
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsUniversity of TorontoUniversity of SaskatchewanSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineProspective cohort studyMeta-analysisCohort studyCohortEnvironmental healthIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Background Public health policies reflect concerns that certain fruit sources may not have the intended benefits and that vegetables should be preferred to fruit. We assessed the relation of fruit and vegetable sources with cardiovascular outcomes using a systematic review and meta‐analysis of prospective cohort studies. Methods and Results MEDLINE, EMBASE, and Cochrane were searched through June 3, 2019. Two independent reviewers extracted data and assessed study quality (Newcastle‐Ottawa Scale). Data were pooled (fixed effects), and heterogeneity (Cochrane‐Q and I 2 ) and certainty of the evidence (Grading of Recommendations Assessment, Development, and Evaluation) were assessed. Eighty‐one cohorts involving 4 031 896 individuals and 125 112 cardiovascular events were included. Total fruit and vegetables, fruit, and vegetables were associated with decreased cardiovascular disease (risk ratio, 0.93 [95% CI, 0.89–0.96]; 0.91 [0.88–0.95]; and 0.94 [0.90–0.97], respectively), coronary heart disease (0.88 [0.83–0.92]; 0.88 [0.84–0.92]; and 0.92 [0.87–0.96], respectively), and stroke (0.82 [0.77–0.88], 0.82 [0.79–0.85]; and 0.88 [0.83–0.93], respectively) incidence. Total fruit and vegetables, fruit, and vegetables were associated with decreased cardiovascular disease (0.89 [0.85–0.93]; 0.88 [0.86–0.91]; and 0.87 [0.85–0.90], respectively), coronary heart disease (0.81 [0.72–0.92]; 0.86 [0.82–0.90]; and 0.86 [0.83–0.89], respectively), and stroke (0.73 [0.65–0.81]; 0.87 [0.84–0.91]; and 0.94 [0.90–0.99], respectively) mortality. There were greater benefits for citrus, 100% fruit juice, and pommes among fruit sources and allium, carrots, cruciferous, and green leafy among vegetable sources. No sources showed an adverse association. The certainty of the evidence was “very low” to “moderate,” with the highest for total fruit and/or vegetables, pommes fruit, and green leafy vegetables. Conclusions Fruits and vegetables are associated with cardiovascular benefit, with some sources associated with greater benefit and none showing an adverse association. Registration URL: https://www.clini​caltr​ials.gov ; Unique identifier: NCT03394339.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.205
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0130.003
Bibliometrics0.0000.001
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 head0.037
GPT teacher head0.327
Teacher spread0.291 · 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 teacher head, 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

Citations178
Published2020
Admission routes3
Has abstractyes

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