The global burden of hypertension exceeds 1.4 billion people
Bibliographic record
Abstract
: In 2010, 1.4 billion people globally had hypertension, with 14% controlled to systolic blood pressure (SBP, mmHg) below 140, which contributes to 18 million cardiovascular deaths annually. Recent hypertension guidelines endorsed SBP targets below 130 or lower for all or some hypertensive patients to reduce cardiovascular events (CVEs) more than the prior SBP target less than 140. In 2016, the Australian Guideline strongly recommended target SBP below 120 for adults at very high risk for CVE or aged above 75 years. In 2017 and 2018, the Canadian Guideline recommended automated office SBP (AOSBP) below 120 in adults at high risk and aged above 75 years (grade B). In 2017, the US Guideline recommended SBP below 130 for all adults (moderate-to-high risk class I; lower-risk grade IIb). In 2018, the European Guideline recommended SBP below 140 for all adults, and, if tolerated, a SBP range of 120-129 for adults aged below 65 years and 130-139 for adults aged at least 65 years (class I). The guidelines were variably influenced by Systolic blood PRessure INTervention trial and meta-analyses indicating fewer CVE when mean in-trial SBP was below 130 versus above 130. Clinicians considering lower SBP targets should be aware that: AOSBP preceded by 5-min rest is approximately 10-15 mmHg lower than usual office SBP; hypertensive patients with office SBP consistently versus intermittently below 140 have fewer CVE; benefits of mean office SBP or AOSBP below 120 remain unproven and could increase adverse events. Clinicians worldwide will do well to control SBP to below 140 in most hypertensive patients on most visits, which should lead to mean in-clinic SBP of 120-129.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".