Comparability of two commonly used automated office blood pressure devices in the severely obese
Bibliographic record
Abstract
The accuracy of automated office blood pressure (BP) devices in severely obese individuals is unknown. In an exploratory study, we compared standardized BP measurements using a BpTRU device with those taken using a WatchBP Office monitor. Paired t-tests, Bland-Altman plots, and Pearson's correlations were used to compare devices. A total of 62 patients were analyzed: their mean age was 39.5±9.3 years and their mean BMI was 45.1±5.7 kg/m. Fifty-five patients (89%) were women and 21 (34%) had a diagnosis of hypertension. The mean BpTRU values were 117.2±12.7/76.7±9.7 mmHg and the mean WatchBP measurements were 126.6±13.8/79.7±10.9 mmHg [difference of -9.4±11.6 for systolic (P<0.0001) and -3.0±7.7 mmHg for diastolic (P=0.003)]. A Bland-Altman plot for systolic BP showed considerable variability. Only four (6.5%) patients had hypertension (>140/90 mmHg) according to BpTRU versus 15 (24%) according to WatchBP. In conclusion, the mean BP measurements taken using two commonly used automated office devices differed markedly and by a clinically important magnitude. These data indicate the need for formal validation of these devices specifically in severely obese individuals.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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 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".