Total Diz Artroplasti Tedavisinin Sağlıkla İlişkili Yaşam Kalitesi, Ağrı ve Fonksiyon Üzerine Etkisi: Birinci Yıl Sonuçları
Bibliographic record
Abstract
Amac: Bu calismanin amaci, siddetli diz osteoartriti (OA) olan olgularda total diz artroplasti (TDA) tedavisinin, bir yil sonra olgularin fonksiyonel durumuna ve yasam kalitesine olan etkilerini incelemektir. Gerec ve Yontem: TDA planlanan 27 hasta calismaya alindi. TDA’dan once ve TDA’ dan bir yil sonra gorsel analog skala (VAS) ile agri duzeyleri, Western Ontario ve McMaster Universiteleri OA Indeksi (WOMAC) ve Lequesne Indeksi ile fonksiyonel durumlari, ve Kisa Form-36 Olcegi (SF-36 Olcegi) ile saglikla iliskili yasam kaliteleri (SIYK) degerlendirildi. Bulgular: TDA’dan bir yil sonra degerlendirilen VAS agri skorunda, Lequesne Indeksinde, WOMAC skorlarinda ve SF-36 Olcegi skorlarinin hepsinde cerrahi oncesine gore istatistiksel olarak anlamli bir duzelme vardi (p<0.0001). Cerrahi sonrasi Lequesne Indeksi ile WOMAC skorlari (agri skoru (r= 0.821, p=0.0001), sertlik skoru (r=0.634, p=0.0001) ve fonksiyon skoru (r=0.755, p=0.0001)) arasinda pozitif bir korelasyon, WOMAC fonksiyon skoru ile SF-36 fiziksel fonksiyon skoru arasinda (r= -0.585, p=0.001) ve WOMAC agri skoru ile SF-36 agri skoru arasinda (r= -0.485, p=0.010) negatif bir korelasyon vardi. Sonuc: TDA ile siddetli diz OA’si olan olgularda, bir yil sonra olgularin agrisinda azalma, fonksiyonel durumlarinda ve yasam kalitelerinde iyilesme gozlenmektedir
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".