TOPUK AĞRISININ NADİR BİR NEDENİ, KALKANEUS YERLEŞİMLİ İNTRAOSSEÖZ LİPOM: 9 OLGUNUN RETROSPEKTİF ANALİZİ ve LİTERATÜR DERLEMESİ
Bibliographic record
Abstract
Objective: Intracalcaneal lipoma is a rare disease and frequently asymptomatic. Usually the first and the most common complaint is simple heel pain in symptomatic cases. The purpose of this study is to present a literature review and retrospective analysis of 9 cases with intracalcaneal lipoma whose various preliminary diagnosis varied in other clinics due to heel pain. Material and Methods: Between 2008 and 2015, 9 patients (4 females and 5 males) with intracalcaneal lipoma were operated in our institution. The mean age of the patients was 40.6 (19-70) years. The mean follow-up was 50,4 (12-114) months. The time between initial misdiagnosis and confirmed diagnosis was 20.8 (12-48) months. The patients were treated as misdiagnosed with Achilles tendinitis, epin calcanei, retrocalcaneal bursitis and plantar fasciitis before admission to our clinic. Results: Seven patients were treated with curratage & bone grafting and 2 patients with curettage & bone cementing. All patients recovered without heel pain in the mean 5 (3-11) months. Complete consolidation of the bone graft was seen at the mean 6 (5-9) month. The mean AOFAS score was increased from 80.4 preoperatively to 95.3 at the first year. Conclusion: Intracalcaneal lipoma should be considered in the differential diagnosis of the patients with heel pain. Curettage and bone grafting can be a good surgical option for the treatment of painful and critically sized intracalcaneal lipomas.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".