Editors' perspective
Bibliographic record
Abstract
The COVID-19 pandemic, a significant global crisis, pales in comparison to the pervasive and ongoing threat of climate change. While the pandemic exposed the fragility of our healthcare systems, climate change compounds these vulnerabilities. This urgent, long-term crisis jeopardizes not only our well-being but also the very bedrock of our societies. Mitigating climate change is imperative to secure public health and bolster healthcare resilience, also in acute cardiovascular and intensive medicine. In this journal edition, we present two editorials and an original research paper addressing this healthcare predicament. The editorial ‘Time to treat the climate and nature crisis as one indivisible global health emergency’ calls for recognizing the intertwined public health impact of climate change and biodiversity loss, urging the WHO to designate it as a Public Health Emergency of International Concern. To rally public support, an online petition will include journal editors and thought leaders. We are wholeheartedly in support. Related to acute coronary syndromes, in the context of treating patients in cardiogenic shock post-heart attack, a specialized approach is imperative, requiring expert collaboration and considering various factors, including age. Implementing a multidisciplinary approach significantly enhances long-term outcomes for patients with refractory cardiogenic shock and short-term mechanical circulatory support. This success is underscored by a noteworthy single-centre experience in Europe (France) led by Hérion et al.1 The elderly population often presents cases of cardiogenic shock post-heart attack, but percutaneous coronary intervention has proven highly effective in reducing in-hospital cardiac deaths for elderly ST-elevation myocardial infarction patients. Age should not preclude potentially beneficial invasive therapy.2 Furthermore, takotsubo and SCAD are increasingly recognized as causes of acute coronary syndromes. While arrhythmias are common in patients with stress-induced cardiomyopathy, research suggests that patient background and clinical status, rather than the arrhythmias themselves, are more closely associated with higher mortality risk. Regarding SCAD, the study by Civieri et al.3 reveals the prevalence of angiotensin II type 1 receptor autoantibodies (AT1R-AAs) and endothelin-1 receptor type A (ETAR-AAs) in a small cohort of women with myocardial infarction and SCAD. This provides strong evidence, supported by previous literature and biological plausibility, indicating that AT1R-AAs and ETAR-AAs play a significant role in SCAD pathogenesis. Enjoy reading!
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 | 0.009 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.016 | 0.014 |
| Insufficient payload (model declined to judge) | 0.066 | 0.038 |
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".