Hypertension Canada Statement on the Use of Cuffless Blood Pressure Monitoring Devices in Clinical Practice
Bibliographic record
Abstract
BACKGROUND: Cuffless blood pressure (BP) devices are an emerging technology marketed as providing frequent, nonintrusive and reliable BP measurements. With the increasing interest in these devices, it is important for Hypertension Canada to provide a statement regarding the current place of cuffless BP measurements in hypertension management. METHODS: An overview of the technology in cuffless BP devices, the potential with this technology and the challenges related to determining the accuracy of these devices. RESULTS: Cuffless BP monitoring is an emerging field where various technologies are applied to measure BP without the use of a brachial cuff. None of the devices currently sold have been validated in static and dynamic conditions using a recognized validation standard. Important issues persist in regard to the accuracy and the place of these devices in clinical practice. Current data only support using validated cuff-based devices for the diagnosis and management of hypertension. Presently, readings from cuffless devices that are used for diagnosis or clinical management need to be confirmed using measurements obtained from a clinically validated BP device. CONCLUSIONS: Cuffless BP devices are a developing technology designed to track BP in most daily life activities. However, many steps remain before they should be used in clinical practice.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".