Dietary salt reduction; further lowering of target lowers blood pressure but may increase risk
Bibliographic record
Abstract
Commentary on: He FJ, Li J, Macgregor GA. Effect of longer-term modest salt reduction on blood pressure. Cochrane Database Syst Rev 2013;(4):CD004937. Numerous studies have shown that a high dietary salt intake increases blood pressure (BP) and the risk of cardiovascular events.1 ,2 Conversely, a moderate and even low-level salt intake lowers BP in a dose-dependent way. He and colleagues have performed a thorough and comprehensive meta-analysis of 34 randomised controlled trials (RCTs) assessing the impact of modest reduction in salt intake with a trial duration of at least 4 weeks. The present study corroborates the findings showing that a ‘modest’ reduction in salt intake from 9.4 to 4.4 g/day caused a significant fall in BP in hypertensive as well as normotensive individuals (systolic change −4.18 mm Hg (95% CI −5.18 to −3.18; p<0.0001)). This fall in BP was associated with a ‘small physiological increase in plasma renin, aldosterone and norepinephrine’. The authors stated that the current recommendations to reduce salt intake to 5–6 g/day …
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.045 | 0.036 |
| Insufficient payload (model declined to judge) | 0.012 | 0.014 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".