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Record W2314188828 · doi:10.1097/mbp.0b013e3283540785

Evaluation of an automated sphygmomanometer for use in the office setting

2012· article· en· W2314188828 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBlood Pressure Monitoring · 2012
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of TorontoHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsSphygmomanometerMedicineAmbulatoryBlood pressureAmbulatory blood pressureDiastoleCardiologyMean differenceInternal medicineConfidence interval

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether the WatchBP Office sphygmomanometer can be used to obtain automated office blood pressure (AOBP) readings that are similar to the awake ambulatory BP. METHODS: One hundred patients referred for 24 h ambulatory BP monitoring had BP recorded three times using the WatchBP Office fully automated sphygmomanometer in accordance with standard AOBP measurement guidelines. The mean AOBP was compared with the mean awake ambulatory BP. RESULTS: The mean (± SD) AOBP (138.6 ± 13.7/79.7 ± 9.0 mmHg) was similar to the mean awake ambulatory BP (136.8 ± 12.4/79.0 ± 10.8 mmHg). The small difference in systolic BP (1.8 mmHg) was statistically significant (P=0.03), but was within the accepted range (5 mmHg) recommended by guidelines for equivalence between BP readings. There was a strong correlation (P<0.001) between the systolic/diastolic AOBP and awake ambulatory BP readings (r=0.819/0.801). CONCLUSION: The WatchBP Office produces BP readings that closely approximate the awake ambulatory BP, confirming that this automated sphygmomanometer is suitable for recording AOBP in clinical practice.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.106
GPT teacher head0.360
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it