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Record W2073625216 · doi:10.4021//jmc.v2i5.308

Anterior Tibial Cortex Stress Fracture in a High Demand Professional Soccer Player

2011· article· en· W2073625216 on OpenAlexvenueno aff
Ioannis Gigis, Ioannis Rallis, Panagiotis Gigis, Vasilis Goulios

Bibliographic record

VenueJournal of Medical Cases · 2011
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntramedullary rodTibiaFixation (population genetics)Stress fracturesSurgeryCortex (anatomy)Return to sportPhysical therapyRehabilitationNeuroscience

Abstract

fetched live from OpenAlex

Anterior tibia cortex consists a less common location stress fractures. Treatment and return-to-play decision making can have the greatest impact on an athlete’s career. We report a case of a 33 years old high demand professional soccer player who suffered an anterior tibia cortex stress fracture. After a short period of conservative treatment we proceeded in an intramedullary nailing, drilling on the fracture site and insertion of autologous growth factors were performed in order to assisst the healing process. He returned to full activities (every day training and official games) 9 weeks after the operation. The last radiograph 6 months post operatively showed healing of the fracture. We believe that intramedullary fixation of anterior cortex tibial stress fractures when combined with drilling and the use of growth factors helps return sooner than expected to full pre-injury levels of performance. doi:10.4021/jmc249e

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.268
Teacher spread0.243 · 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 designCase report
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

Citations5
Published2011
Admission routes1
Has abstractyes

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