Neuroendocrine Dysfunction in a Young Athlete With Concussion
Bibliographic record
Abstract
An 18-year-old female ringette and basketball player presented to our sport concussion clinic 27 months after concussion with fatigue, headache, exercise intolerance, polyuria, nocturia, and difficulties concentrating. Her history was remarkable for 4 previous concussions. Her neurologic examination was normal. Neuroendocrine screen including thyroid function, morning cortisol, glucose, and insulin-like growth factor-1 (screening test for growth hormone deficiency) were normal. Further testing for growth hormone deficiency with an insulin hypoglycemia test revealed severe growth hormone deficiency. Urine and serum electrolytes were borderline normal, suggesting partial diabetes insipidus. Treatments with growth hormone replacement lead to complete recovery. This case highlights the importance of maintaining a high index of suspicion for neuroendocrine abnormalities in athletes with persistent symptoms after sport concussion. Symptoms can be nonspecific and go undiagnosed for years, but appropriate recognition and treatment can restore function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".