State-of-the-Art review: Hypertension practice guidelines in the era of COVID-19
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
The global burden of hypertension (HTN) is immense and increasing. In fact, HTN is the leading risk factor for adverse cardiovascular disease outcomes. Due to the critical significance and increasing prevalence of the disease, several national and international societies have recently updated their guidelines for the diagnosis and treatment of HTN. In consideration of the COVID-19 pandemic, this report provides clinicians with the best strategies to prevent HTN, manage the acute and long-term cardiac complications of HTN, and provide the best evidence-based care to patients in an ever-changing healthcare environment. The overarching goal of the various HTN guidelines is to provide easily accessible information to healthcare providers and public health officials, which is key for optimal clinical practice. However, the COVID-19 pandemic has challenged the ability to provide safe care to the most vulnerable hypertensive populations throughout the world. Therefore, this review compares the most recent guidelines of the 2017 American College of Cardiology/American Heart Association and multiple U.S. societies, the 2018 European Society of Cardiology/European Society of Hypertension, the 2019 National Institute for Care and Health Excellence, and the 2020 International Society of Hypertension. While a partial emphasis is placed on the management of HTN in the midst of COVID-19, this review will summarize current concepts and emerging data from the listed HTN guidelines on the diagnosis, monitoring, management, and evidence-based treatments in adults.
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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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