Chronic pharmacological preconditioning against ischemia
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
Despite decades of research and thousands of experimental publications, acute preconditioning strategies have yet to be implemented in clinical practice. While some have attributed this to a failure of the experimental studies to mimic the clinical environment, others have suggested that acute preconditioning strategies themselves may possess physiological limitations. In particular, there is evidence to suggest a reduced efficacy of acute preconditioning in the aged heart and in disease states, such as diabetes, hypertension, hyperlipidemia, and atherosclerosis. In addition, pharmacologic agent commonly used in clinical practice, such as sulfonylureas and non-steroidal anti-inflammatory agents may interfere with acute preconditioning signaling pathways. Such considerations may preclude the translation of acute preconditioning strategies to the clinical setting. This has led some to shift attention to alternate strategies of cardioprotection, one such strategy being the possibility of generating a prolonged state of cardioprotection. Although preliminary, studies to date have suggested that sustained preconditioning strategies may not be associated with the same drawbacks as acute preconditioning. Further, cardioprotective signaling pathways that elicit the sustained preconditioning response may be distinct from acute signaling pathways, which permit pharmacologic targeting of these pathways in the future. Additionally, sustained preconditioning strategies may be clinically applicable in the setting of acute myocardial infarction, a setting where acute preconditioning strategies are inherently limited. This review will briefly discuss the current data regarding sustained preconditioning strategies, including those in humans, and discuss the goal of future studies in this setting.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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