Getting ahead of the game: in-hospital initiation of HFrEF therapies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hospitalizations for heart failure (HF) have become a global problem worldwide. Each episode of HF decompensation may lead to deleterious short- and long- term consequences, but on the other hand is an unique opportunity to adjust the heart failure pharmacotherapy. Thus, in-hospital and an early post-discharge period comprise an optimal timing for initiation and optimization of the comprehensive management of HF. This timeframe affords clinicians an opportunity to up titrate and adjust guideline-directed medical therapies (GDMT) to potentially mitigate poor outcomes associated post-discharge and longer-term. This review will cover this timely concept, present the data of utilization of GDMT in HF populations, discuss recent evidence for in-hospital initiation and up-titration of GDMT with a need for post-discharge follow-up and implementation this into clinical practice in patients with heart failure and reduced ejection fraction.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it