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The World Survey of Cardiac Pacing and Cardioverter Defibrillators: Calendar Year 1997 ‐ Asian Pacific, Middle East, South America, and Canada

2001· article· en· W1994048892 on OpenAlexaboutno aff
Harry G. Mond

Bibliographic record

VenuePacing and Clinical Electrophysiology · 2001
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImplantPopulationEast AsiaCardiac pacingAtrioventricular blockSudden cardiac deathAsia pacificIncidence (geometry)Middle EastDemographyCardiologySurgeryGeographyChinaEnvironmental health

Abstract

fetched live from OpenAlex

A comprehensive cardiac pacing and ICD survey of the Asian Pacific region, Middle East, South America, and Canada was undertaken for calendar year 1997. Thirteen countries in the Asian Pacific region contributed to the survey. There were also two countries from the Middle East, three from South America, and Canada. Accurate numbers of new implants and replacements were obtained for cardiac pacemakers. In the Asian Pacific region, Japan with almost 20,000 implants, had the largest number of pacemaker implants, but Australia had the highest implant rate with 345 new implants per million population. However, Canada and Uruguay had higher new implant rates per million. The major indication for implantation of a cardiac pacemaker was high degree atrioventricular block. There was a high incidence of single chamber ventricular pacing in the developing countries of Asia. Only a few countries used substantial numbers of single lead VDD and AAIR pacing systems. Pacing leads were predominantly transvenous, bipolar, passive fixation, and steroid eluting. Active-fixation leads were also used in the atrium. With ICD use, Australia had the highest new implant rate per million population. The major indications were sudden death and ventricular arrhythmias. A group of enthusiastic survey coordinators has now been established. It is hoped to continue physician and country recruitment, particularly in the Middle East and South American regions to establish a fully global experience of cardiac pacing and ICD use.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.031
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.279
Teacher spread0.252 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations31
Published2001
Admission routes1
Has abstractyes

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