February 2023 at a Glance: Focus on Pathophysiology and Treatment
Bibliographic record
Abstract
Sympathetic activityAutonomic nervous system is a main target on novel interventions. [1]1][2][3][4] Badrov et al. 5 investigated determinants of augmented muscle sympathetic nerve activity (MSNA) in 177 heart failure (HF) patients and 658 healthy volunteers.MSNA was higher among HF patients, especially in men, with ischaemic cardiomyopathy and among those with sleep apnoea.Burst frequency was inversely associated with stroke volume, cardiac output, and peak oxygen consumption, and directly associated with norepinephrine and peripheral vascular resistance. Medical therapyEarly start of the four pillars of guideline-directed medical therapies (GDMT) in patients with HF and reduced EF (HFrEF) is strongly suggested.19,[21][22][23][24] A survey involving 615 cardiologists worldwide showed that the historical sequential approach (angiotensin-converting enzyme inhibitors or angiotensin receptor-neprilysin inhibitors first, beta-blockers second, mineralocorticoid receptor antagonists third, and sodium-glucose
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.309 | 0.205 |
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".