A Comparison of Higher versus Lower Dietary Protein Intake on Glomerular Filtration Rate in Healthy Adults: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: Higher protein diets, especially from animal sources, have seen a rise in popularity due to potential metabolic. This may have consequences for kidney function particularly in rising middle class populations who are allocating more income towards meat. The objective of this systematic review and meta-analysis was to evaluate the effects of higher versus lower protein intake on glomerular filtration rate (GFR) in adult populations without renal impairment. \nMethods: Search strategies were developed and electronic databases searched: MEDLINE and EMBASE. Data were extracted up until June 3, 2015. The main outcome measure was GFR and a random effect model (Cochrane’s Review Manager Version 5.3) was used to pool mean differences in GFR values. \nResults: Database searches yielded 25 trials from 1914 articles that were eligible for analysis based on inclusion/exclusion criteria. 12 studies were randomized controlled trials and 11 studies were crossover trials. As a result of data presented, 2 crossover studies were treated as 4 trials to result in 25 total trials. A total of 810 subjects from 25 trials were included in this systematic review and meta-analyses. The age of participants was 24-62 years and their BMI was 21-36 kg/m2. Higher protein compared to lower protein-containing diets were associated with increased GFR values [mean difference (MD): 8.33 ml/min (95% CI 4.87 to 11.79), P < 0.00001] but this was less pronounced when assessing change from baseline GFR values [MD: 4.71 ml/min (95% CI 0.06 to 9.36), P = 0.05]. Moreover, significant heterogeneity was present and funnel plot asymmetry indicated potential publication bias in both meta-analyses. \nConclusion: Higher protein diets were associated with increased GFR, however, these results were inconclusive due to significant heterogeneity and overestimation by random effect analyses. There is still no clear evidence that high protein diets negatively impact renal function in healthy populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".