Bilateral Simultaneous Quadriceps Tendon Rupture in a 24-Year-Old Obese Patient: A Case Report and Review of the Literature
Bibliographic record
Abstract
Introduction. Simultaneous bilateral quadriceps tendon ruptures (SBQTR) are uncommon knee injuries and most frequently occur in male patients, over 50 years of age. It can be associated with one or more predisposing risk factors like obesity, steroids use, and hyperparathyroidism. The main focus of this paper is to review SBQTR in obese patients.Case Report. We are reporting the youngest patient in the literature to date, a 24-year-old obese male patient, who presented to the emergency department complaining of bilateral knee pain and inability to walk after a fall during a basketball game. His clinical examination revealed the presence of a palpable suprapatellar gap and loss of knee extension bilaterally. Magnetic resonance imaging (MRI) confirmed that both of his quadriceps tendons were ruptured. A day after his diagnosis, the patient underwent successful operative repair followed by rehabilitation. At the two-year follow-up, the patient had full strength of both quadriceps muscles with no extension lag.Conclusion. The diagnosis of SBQTR can be challenging. Early diagnosis and treatment are associated with better functional outcome compared to delayed treatment. Physicians should have a high index of clinical suspicion in order not to miss such an injury and achieve favourable outcomes.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| 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".