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Record W2013199027 · doi:10.1111/jch.12332

Reply to Dr Myers' Commentary on the Use of Automated Blood Pressure Machines in Office Blood Pressure Measurements

2014· letter· en· W2013199027 on OpenAlexaffabout
Swapnil Hiremath, Cedric Edwards, Brendan McCormick, Marcel Ruzicka

Bibliographic record

VenueJournal of Clinical Hypertension · 2014
Typeletter
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineBlood pressureLimits of agreementAmbulatory blood pressureCardiologyBland–Altman plotMean differenceInternal medicineNuclear medicineConfidence interval

Abstract

fetched live from OpenAlex

We reviewed the commentary1 by Dr Myers wherein he suggests that casual automated office blood pressure (AOBP) should replace resting manual office blood pressure (MOBP), and that casual readings taken with AOBP are similar to awake ambulatory blood pressure monitoring (ABPM).1 Dr Myers suggests that the absence of resting for AOBP readings in the Conventional Versus Automated Measurement of Blood Pressure in the Office (CAMBO) trial2 accounts for the discrepancy between those results and our data.3 Indeed, a recent study by Nikolic and colleagues4 reported that office BP does decrease with resting time (by −4.1 mm Hg from 5 to 10 minutes). However, we would like to point out that the resting period did not change the precision, which was remarkably poor, in both the CAMBO trial and our study.2, 3 Correlation coefficients and average bias data do not paint a complete picture when one is comparing two different methods.5, 6 The primary outcome of our study was the Bland-Altman analysis, and we reported wide limits of agreement (−31, +33 mm Hg) between AOBP and ABPM,3, 5 which were quite similar to that reported by Dr Myers in the CAMBO trial2 (−31.9, +33.6 mm Hg) despite the difference in the AOBP resting period. The scatter plots in our study (Figure 1)3 and in the CAMBO study2 (Figure 2) are indeed strikingly similar; however, with different conclusions being drawn. We therefore find it curious that Dr Myers has chosen to ignore the wide limits of agreement between AOBP and ABPM as assessed by Bland-Altman analysis and continues to promote AOBP as a surrogate for daytime ABPM.1 While clearly not a surrogate for ABPM when subjected to rigorous statistical testing, AOBP is endorsed by a number of national professional organizations in their guidelines for the diagnosis and management of office hypertension. According to these guidelines (National Institute for Health and Clinical Excellence [NICE],7 European Society of Hypertension [ESH],8 and Canadian Hypertension Education Program [CHEP],9 to name just a few), AOBP should be measured in a similar manner as MOBP. We, therefore, take issue with Dr Myers' claim that AOBP measurements should not be preceded by a period of rest ostensibly because it led to an underestimation of daytime ABPM in those studies where proper office resting technique was used.1 Here, again, the reader needs to be reminded that just because the average bias was less with nonresting AOBP, this does not mean that there was any improvement in diagnostic accuracy. Except for data from one study, which was a post hoc analysis in a substudy of a larger trial using unconventional definitions,10 the published literature suggests that compared with MOBP, the mean BP from a series of readings by an AOBP device is lower not only among individuals with white-coat hypertension, but also among individuals who do not have the white-coat effect.3, 4, 11, 12 This downward bias means that the price for a partial elimination of white-coat effect is an increased number of missed patients with masked hypertension.3 Rather than changing time-tested guidelines for the diagnosis of office hypertension, we suggest that a more accurate understanding of the role of AOBP be promoted.

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 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)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
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 head0.192
GPT teacher head0.362
Teacher spread0.170 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations2
Published2014
Admission routes2
Has abstractyes

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