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Abstract P056: Fructose Intake May Decrease Diastolic and Mean Arterial Blood Pressure: A Systematic Review and Meta-analysis of Controlled Feeding Trials

2012· review· en· W2288392896 on OpenAlexaff
Vanessa Ha, John L. Sievenpiper, Russell J. de Souza, Laura Chiavaroli, Dawei D Wang, Adrian I. Cozma, Arash Mirrahimi, Matthew E. Yu, Amanda J. Carleton, Marco Di Buono, Alexandra L. Jenkins, Lawrence A. Leiter, Thomas M.S. Wolever, Joseph Beyene, Cyril W.C. Kendall, David J.A. Jenkins

Bibliographic record

VenueCirculation · 2012
Typereview
Languageen
FieldMedicine
TopicDiet, Metabolism, and Disease
Canadian institutionsSt. Michael's HospitalHeart and Stroke FoundationMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineMeta-analysisFructoseBlood pressureInternal medicineMean arterial pressureEndocrinologyHeart rateFood science

Abstract

fetched live from OpenAlex

Background: Concerns have been raised about the adverse effect of fructose on blood pressure. International dietary guidelines for the prevention of hypertension, however, have not addressed fructose intake directly. Purpose: A systematic review and meta-analysis was conducted to assess the effect of fructose in isocaloric exchange for other carbohydrate on systolic (SBP), diastolic (DBP), and mean arterial blood pressure (MAP). Hypothesis: We hypothesized fructose intake in isocaloric and hypercaloric exchange for other carbohydrate sources would not have a significant effect on SBP, DBP, and MAP. Methods: Studies were identified using MEDLINE, EMBASE, and Cochrane databases (through September 29 2011). Human clinical trials that investigated isocaloric oral fructose exchange for other carbohydrate sources for at least 7 days were included in the analysis. A generic inverse variance method using random effects weighting was used to pool data. Pooled data were expressed as mean differences (MD) with 95% confidence intervals. Heterogeneity was assessed by the Q statistic and quantified by I2. Study quality was assessed using the Heyland Methodological Quality Score (MQS). Results: Thirteen isocaloric (n= 325 participants) and two hypercaloric (n= 24) trials met the eligibility criteria. Overall, fructose intake in isocaloric exchange for other carbohydrate decreased DBP (MD=−1.40 [95% CI: −2.69, −0.10]) and MAP (MD= −1.16 [95% CI: −2.11, −0.20]). There was no significant effect of fructose on SBP (MD= −1.05 [95% CI: −2.46, 0.36]). However, subgroup analyses revealed potentially important heterogeneous findings. In a priori subgroups, fructose format (fluid) was a significant modifier of the SBP effect. The effects of both DBP and MAP were modified by aspects of study design (non-randomization, parallel design) and study quality (MQS <8). Furthermore, the DBP effect was modified under conditions of follow-up >4weeks and MAP by carbohydrate comparator (high fructose corn syrup). The two hypercaloric fructose feeding trials found no significant MAP effect of fructose in comparison to other carbohydrate. Limitations: A small number of isocaloric trials and two hypercaloric trials were included, limiting the strength of the conclusion. Conclusion: Contrary to previous concerns, we found isocaloric substitution of fructose for other carbohydrate did not adversely affect SBP, DBP, or MAP in humans. Further larger and longer trials are needed to confirm results.

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)0.018
metaresearch head score (Gemma)0.051
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 score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.051
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0170.033
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.157
GPT teacher head0.376
Teacher spread0.219 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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