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Record W2767899178 · doi:10.3171/2017.7.peds17180

Online postconcussion return-to-play instructions

2017· review· en· W2767899178 on OpenAlexaff
Jennylee Swallow, Jacob R. Joseph, Kylene Willsey, Andrea Almeida, Matthew T. Lorincz, Paul Park, Nicholas J. Szerlip, Steven P. Broglio

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2017
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsOntario Neurotrauma Foundation
Fundersnot available
KeywordsGuidelineConcussionMedicineGovernment (linguistics)Sports medicineAthletesFamily medicineConsistency (knowledge bases)The InternetPoison controlMedical educationInjury preventionMedical emergencyPhysical therapyWorld Wide Web

Abstract

fetched live from OpenAlex

OBJECTIVE The authors of recent concussion guidelines have sought to form a consensus on injury management, but it is unclear if they have been effective in conveying this information to the public. Many parents and athletes obtain medical recommendations via the Internet. This review is aimed at evaluating consistency between online resources and published guideline statements in postconcussion return-to-play (RTP) decisions. METHODS Five websites were selected through a Google search for RTP after concussion, including a federal government institution (Centers for Disease Control and Prevention) website, a national high school association (National Federation of State High School Associations) website, a popular nationally recognized medical website for patients (WebMD), a popular parent-driven website for parents of children who participate in sports (MomsTeam), and the website of a private concussion clinic (Sports Concussion Institute), along with a university hospital website (University of Michigan Medicine). Eight specific items from the Zurich Sport Concussion Consensus Statement 2012 were used as the gold standard for RTP recommendations. Three independent reviewers graded each website for each of the 8 recommendations (A = states guideline recommendations appropriately; B = mentions guideline recommendation; C = does not mention guideline recommendation; F = makes inappropriate recommendation). RESULTS A grade of A was assigned for 45.8% of the recommendations, B for 25.0%, C for 25.0%, and F for 4.2%. All the websites were assigned an A grade for the recommendation of no RTP on the day of injury. Only 1 website (WebMD) mentioned medication usage in conjunction with the Zurich statement, and only 2 websites (Sports Concussion Institute and University of Michigan Medicine) mentioned appropriate management of persistent symptoms. None of these websites commented correctly on all 8 guideline recommendations. CONCLUSIONS Online resources are inconsistent in relaying guideline recommendations for RTP and provide a potential source of confusion in the management of concussion for athletes and their parents, which can result in inappropriate RTP decisions.

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)0.007
metaresearch head score (Gemma)0.050
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: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.007

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 head0.267
GPT teacher head0.456
Teacher spread0.188 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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