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Record W4283660579 · doi:10.1097/jsm.0000000000001051

Pediatric Sport and Exercise Medicine: Eight Things Clinicians and Patients Should Question

2022· editorial· en· W4283660579 on OpenAlexaffabout
Laura Purcell, Erika Persson, Kristin Houghton

Bibliographic record

VenueClinical Journal of Sport Medicine · 2022
Typeeditorial
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsMedicineSports medicineHarmMEDLINEEvidence-based medicineAlternative medicineFamily medicineHealth carePhysical therapyPsychologyPathology

Abstract

fetched live from OpenAlex

Evidence-based medicine is what clinicians strive for when caring for their patients. It is “the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients.”1 A key component of evidence-based medicine is the judicious use of tests and treatments. Choosing Wisely Canada (CWC) is a national campaign to help clinicians and patients make mutual decisions about appropriate management of health issues and to initiate discussions about unnecessary tests, treatments, and procedures. Since 2014, CWC has partnered with numerous professional medical organizations and associations representing several clinical specialties to generate lists of “Things Clinicians and Patients Should Question.”2 The goal is to reduce the number of unnecessary tests, treatments, and procedures that occur in Canada which potentially expose patients to harm, create unnecessary stress for patients and families, lead to more testing to evaluate false positives, and consume time and limited resources. Partnering with Choosing Wisely Canada, the Canadian Academy of Sport and Exercise Medicine (CASEM) has generated a pediatric SEM list of “Eight Things Clinicians and Patients Should Question”. This list was launched on April 12, 2022, on the Choosing Wisely and CASEM web sites.2,3 (EN: https://choosingwiselycanada.org/recommendation/sport-and-exercise-medicine/#pediatric-sport-and-exercise-medicine FR: https://choisiravecsoin.org/recommendation/medecine-du-sport-et-de-lexercice/#medecine-sport-pediatriques). WHY A PEDIATRIC SEM LIST? Musculoskeletal (MSK) complaints are common in the pediatric age group, accounting for up to 25% of primary care visits by adolescents.4 Two-thirds of all injuries in adolescents are related to sports participation and can result in hundreds of thousands of emergency room visits annually.5,6 Sport injuries in children and youth can have a significant negative impact on quality of life, sometimes requiring weeks to months of time away from sport and activity as well as physiotherapy or even surgery, particularly if these injuries are not appropriately identified and managed. These injuries can also result in school absence, negatively affecting academic achievement, and can cause children and adolescents to drop out of sports altogether, reducing physical activity levels in adolescence and into adulthood.7 Given the frequency of sport injuries in the pediatric age group, it is vital that all clinicians managing these issues in children and youth are aware of and apply the available evidence in their daily practices. Current lists on the Choosing Wisely Canada web site have very few pediatric-specific SEM or pediatric-specific MSK recommendations.2 CASEM has previously developed an SEM list but only one recommendation was specific to the pediatric population.8 We are addressing this gap with the new list. HOW THE LIST WAS DEVELOPED CASEM formed a small working group consisting of Drs Laura Purcell, Erika Persson, and Kristin Houghton, all pediatricians and sport medicine specialists, who identified a need to develop a list of recommendations specifically for pediatric SEM. This list was developed based on existing research, experience, and common practice patterns. We sought input from the Pediatric Interest Group of CASEM, as well as a pediatric orthopedic surgeon and a pediatric MSK radiologist at McMaster Children's Hospital. The general CASEM membership was also asked for their input by electronic survey. The Publications Committee of CASEM provided input before the list being approved by the CASEM Board. The list was then submitted to CWC, which approved it after their own internal review process. THE PEDIATRIC SEM LIST The Pediatric SEM list identifies investigations and practices commonly used in pediatric SEM/MSK assessments that are not supported by evidence and may expose patients to harm, unnecessary stress, and additional unnecessary testing, consuming time and constrained resources. The list includes 8 imaging and management recommendations for knee and shoulder injuries, back pain, scoliosis, distal radius buckle fractures, CT scans in minor head injuries/concussion, and management of chronic pain syndromes. The list can be accessed using the following links: EN: https://choosingwiselycanada.org/recommendation/sport-and-exercise-medicine/#pediatric-sport-and-exercise-medicine. FR: https://choisiravecsoin.org/recommendation/medecine-du-sport-et-de-lexercice/#medecine-sport-pediatriques. CONCLUSION Evidence-based medicine is what we aspire to in our daily practices. We encourage all clinicians who see pediatric patients—family physicians, pediatricians and pediatric subspecialists, orthopedic surgeons, and SEM doctors—to adopt these CWC pediatric SEM recommendations as part of routine practice to optimize care for children and youth and minimize the use of unnecessary investigations and treatments.

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)0.039
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: Editorial · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0060.009
Open science0.0020.005
Research integrity0.0130.017
Insufficient payload (model declined to judge)0.0670.041

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 head0.401
GPT teacher head0.584
Teacher spread0.182 · 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
GenreEditorial

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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Citations1
Published2022
Admission routes2
Has abstractyes

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