Thus spoke Honda: philosophy and technology
Bibliographic record
Abstract
Should we be advising patients to take their antihypertensives at night?I have read with great interest a research paper entitled 'Bedtime hypertension treatment improves cardiovascular risk reduction: the Hygia Chronotherapy Trial' published in the European Heart Journal by Hermida et al. 1 The trial randomly assigned 19 084 patients to either take their antihypertensives upon waking in the morning or at bedtime.The patients were subsequently followed up over a median period of 6.3 years with ambulatory 48-hour blood pressure monitoring done at inclusion and at least annually.After adjusting for significant confounding variables such as sex, age, smoking history, type 2 diabetes, chronic kidney disease, previous and cardiovascular events, among others, the risk of cardiovascular death, myocardial infarction, coronary revascularisation, heart failure, or stroke nearly halved (6.5% vs. 11.9%).National Institute for Health and Care Excellence advice on starting antihypertensive drug treatment was last updated prior to the publication of this research and does not recommend a time of day to give the medication. 2 With the results seeming almost too good to be true -the New England Journal of Medicine (NEJM) Journal Watch, a sibling publication to the NEJM, reviewed the article.They made the point that ideally the trial would be replicated; however, given the significant difference in adverse outcome with morning dosing, they questioned whether it would be ethically sound to randomise patients to the morning dosing arm.Ultimately, they felt recommending that patients take oncedaily antihypertensive drugs in the evening was reasonable.3 Nature Reviews Cardiology has also acknowledged that, while the mechanism is unclear, the time of dosing is important for blood pressure control and protection against cardiovascular disease.4 Given these findings, I'd encourage fellow clinicians to consider recommending patients to take their antihypertensives at night.The question is now whether future guidelines will take note of this trial and recommend night dosing of antihypertensives.
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How this classification was reachedexpand
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 | 0.022 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.017 |
| Insufficient payload (model declined to judge) | 0.052 | 0.037 |
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 source (direct Gemma or distilled Codex), 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".