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Preparticipation Evaluation

2004· review· en· W1974229478 on OpenAlexaff
Kristin Wingfield, Gordon O. Matheson, Willem Meeuwisse

Bibliographic record

VenueClinical Journal of Sport Medicine · 2004
Typereview
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineAthletesData extractionMEDLINESystematic reviewPopulationWeb of scienceFamily medicinePhysical therapyMeta-analysisInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To review available evidence establishing the validity of the preparticipation evaluation (PPE) as a method for screening health risk prior to participation in exercise and sport. Specific emphasis was placed on reviewing original research evaluating methods to screen participants for risk of sudden cardiovascular death. Literature on the current state of the PPE as a screening tool for athletic participation was examined. DATA SOURCES: Electronic databases were searched for articles relating to mass screening for sports participation and sudden cardiac death in athletes published up to January 2004. Databases searched included Medline (OVID Web, 1966-2004), PubMed (1966-2004), Sport Discuss (1975-2004), Current Contents, CISTI Source (1993-2004), Cochrane Database of Systematic Reviews, and EBM Reviews. Additional references from the bibliographies of retrieved articles were also reviewed. SELECTION CRITERIA: All study designs were retrieved, but only those studying athletes and/or student-athletes under age 36 years were reviewed. Of the original research retrieved, the majority of the articles sought to establish incidence or prevalence of cardiovascular causes of sudden death in athletes or the validity of various screening tools. Original research articles seeking to establish the current use of the PPE in all its various forms were also reviewed. All of the articles selected for review consisted of type II, population-based data. DATA EXTRACTION AND SYNTHESIS: The initial literature search identified 639 papers. Of these, 310 articles that met the selection criteria were reviewed, and 25 articles were identified as original research directly relating to the PPE. All of these contained type II evidence-population-based clinical studies. The majority of the literature on the PPE consists of type III evidence-case-based opinion papers and position papers from respected authors and sports medicine societies and reports of expert committees. This literature was also reviewed, but only original research relevant to the PPE is reported in this article. The majority of these studies examined cardiovascular diseases and screening procedures. RESULTS: The 5 studies that assessed the format or effectiveness of the PPE concluded that it was inadequate. The format of the PPE is not standardized and does not consistently address the American Heart Association recommendations for cardiovascular screening history and physical exams. A variety of health care professionals, some without proper training, administer the PPE. The 12 original studies that looked at specific cardiovascular screening techniques were divided on the effectiveness of history, physical examination, electrocardiogram, and echocardiography for detecting cardiovascular risks for sudden death in athletes. CONCLUSIONS: A PPE is required by most sport organizations in America, but research as to its effectiveness is very limited. PPEs have been mandatory in Italy for many years, and we can draw on some the data recorded over this time. Otherwise, very few studies in America or elsewhere have been performed on the PPE process. The research available indicates that the PPE is not implemented adequately or uniformly. An opportunity exists to create a standardized, validated PPE that meets medical standards for quality and provides sensitive, specific screening of potential participants in sport and exercise.

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)0.006
metaresearch head score (Gemma)0.042
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.042
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0190.003

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 head0.231
GPT teacher head0.554
Teacher spread0.323 · 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
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

Citations107
Published2004
Admission routes1
Has abstractyes

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