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Record W4248781361 · doi:10.31189/2165-6193-8.2.54

Terence Kavanagh, MD, FRCPC, FACC, DSc (Hon) 1927–2018

2019· article· en· W4248781361 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Clinical Exercise Physiology · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Dr Terrence Kavanagh was born in Manchester, England, and completed his medical undergraduate and postgraduate training at the University of Manchester and the University of London. He immigrated to Canada in 1956. Dr Kavanagh was a clinician, researcher, teacher, and pioneering advocate in the field of cardiac rehabilitation. In many ways, he was both a physician and a clinical exercise physiologist. Dr Kavanagh developed the cardiac rehabilitation program at the Toronto Rehabilitation Centre (TRC) in September 1968 and was its Medical Director until his retirement in 2000. The program grew from fewer than 100 patients in the initial year to about 1,600 referrals annually from more than 400 physicians; thus, because of Dr Kavanagh's vision, the TRC became one of the largest such programs in North America. During his tenure, the program assisted approximately 25,000 patients.Dr Kavanagh was a visionary and innovator in cardiac rehabilitation with many ideas that were revolutionary at the time. Some examples of his clinical innovation include ideas which today's cardiac rehabilitation practice is attempting to incorporate. For instance, he used a combination of 1 weekly supervised exercise session and 4 home exercise sessions; and realizing the benefits of the dose of exercise training, he extended the duration of participation to a 12-month program. He also developed a patient education process for each supervised exercise session; he minimized the use of electrocardiogram monitoring during exercise training to those who might benefit from monitoring (i.e., not every cardiac rehabilitation patient wore a telemetry monitor during supervised exercise training); and he recognized the importance of depression screening and treatment as part of the recovery process.In an interview at the time of his retirement, Dr Kavanagh said the following about developing the TRC:Some of his most innovative work came in the 1970s. At that time, any type of jogging or running was contraindicated for cardiac rehabilitation patients, but in 1973, he prepared a group of postmyocardial infarction patients to be the first patients to finish the Boston Marathon. In 1985, he trained and ran with the first heart transplant patient to complete the same famed marathon. Ironically, that same patient (Brian Price of Caldicot, England) died earlier in the same year as Dr Kavanagh. When interviewed at his retirement, Dr Kavanagh estimated that more than 60 of his patients had run at least one marathon. With the reemergence of heart transplant procedures in the mid-1980s, Dr Kavanagh studied and published much of the early work on exercise testing and prescription in the heart transplant patient population.During his career, Dr Kavanagh was continually active in the education of students, clinical exercise clinicians, and physicians. Health care professionals and students from Canada and around the world benefitted from practicum courses in cardiac rehabilitation at the TRC for many years. He was also a national and international ambassador for clinical exercise and cardiac rehabilitation as an invited speaker at scientific meetings, including the American College of Sports Medicine (ACSM) and the American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR). Dr Kavanagh was also a founding member of the Canadian Association of Cardiac Rehabilitation.This pioneering giant in clinical exercise physiology and cardiac rehabilitation who impacted the lives of so many will be greatly missed by many of his former patients, current and former TRC program staff, and many professionals in the field he helped mentor and who benefitted from his groundbreaking clinical advancements and research.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0930.037

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 head0.104
GPT teacher head0.521
Teacher spread0.417 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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