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Record W2786378158 · doi:10.1097/hjh.0000000000001635

Improving the accuracy of blood pressure measurement

2018· review· en· W2786378158 on OpenAlexaff
George S. Stergiou, Roland Asmar, Martin G. Myers, Paolo Palatini, Gianfranco Parati, Andrew Shennan, Ji‐Guang Wang, Eoin OʼBrien

Bibliographic record

VenueJournal of Hypertension · 2018
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineProtocol (science)StandardizationAmbulatoryMedical instrumentationMedical physicsInternational standardizationBlood pressureAlternative medicineSurgeryComputer scienceInternal medicinePathology

Abstract

fetched live from OpenAlex

INTRODUCTION: The European Society of Hypertension (ESH) International Protocol (ESH-IP) for the validation of blood pressure (BP) measuring devices was published in 2002, with the main objective of simplifying the validation procedures, so that more BP monitors would be subjected to independent validation. This article provides an overview of the international impact of the ESH-IP and of the lessons learned from its use, to be able to justify further developments in validation protocols. METHODS: A review of published (PubMed) validation studies from 2002 to 2017 was performed. RESULTS: One hundred and seventy-seven validation studies using the ESH-IP, 59 using the British Hypertension Society protocol, 46 using the Association for the Advancement of Medical Instrumentation (AAMI) standard and 23 using the International Organization for Standardization (ISO) standard were identified. Lists of validated office-clinic, home and ambulatory BP monitors are provided. Of the ESH-IP studies, 93% tested oscillometric devices, 80% upper arm, 71% home, 25% office and 7% ambulatory monitors (some had more than one function). CONCLUSION: The original goal of the ESH-IP has been fulfilled in that in the last decade the number of published validation studies has more than doubled. It is now recognized that the provision of accurate devices would be best served by having a universal protocol. An international initiative has been put in place by AAMI, ESH and ISO experts aiming to reach consensus for a universal validation protocol to be accepted worldwide, which will allow a more thorough evaluation of the accuracy and performance of future BP monitors.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.814
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.157
GPT teacher head0.322
Teacher spread0.165 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations57
Published2018
Admission routes1
Has abstractyes

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