Endovascular Treatment in Acute Ischemic Stroke: From Randomized Studies to Current Treatments
Bibliographic record
Abstract
Akut İskemik inmenin tedavisinde son 3 dekat boyunca hızlı gelişmeler kaydedilmiştir. Endovaskuler tedaviler büyük damar oklüzyonu olan hastalarda özellikle penumbra varlığında altın standart tedavi olarak yer buldu, ancak iskemik inmenin doğası gereği daha distal oklüzyonlar, geniş infarkt alanı olan hastalar gibi bir çok tartısmalı hasta grubunda tedavi kararlari almak gerekliliği oluşmuştur. Tüm dünyada oluşturulan ulusal ve uluslararasi rehberler aracılığı ile daha fazla hastada iyi klinik sonuçlara ulaşmak hedeflenmektedir. Son yıllarda çok hizli gelişmelerin olduğu akut iskemik inmenin endovaskuler tedavisi hakkında yazilan bu derleme ile, bu konuda yapilan büyük calışmalar, metaanalizler ve uluslararasi rehberlerdeki öneriler özetlenmiş ve ülkemiz için öneriler oluşturulmaya çalışılmıştır.
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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 | 0.063 | 0.117 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.018 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 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".