Untersuchung des prädiktiven Wertes der präoperativen Montreal Cognitive Assessment-Testung zur Vorhersage eines postoperativen Delirs
Bibliographic record
Abstract
In der Dissertation wird der Zusammenhang zwischen dem präoperativen kognitiven Status von Patienten und dem Auftreten eines postoperativen Delirs untersucht. Die Daten wurden im Rahmen der PROPDESC-Studie von Juli 2018 bis Oktober 2019 durch ein Studienteam der Klinik für Anästhesiologie und Operative Intensivmedizin am Universitätsklinikum Bonn erhoben. Dafür wurden Daten von über 800 Patienten, die mindestens 60 Jahre alt waren und sich einer elektiven Operation unterzogen, ausgewertet. Der präoperative kognitive Status wurde mittels MoCA-Test, der in den 1990er Jahren von Ziad Nasreddine zur Erkennung kognitiver Einschränkungen entwickelt worden ist, erfasst. Patienten, die präoperativ kognitiv eingeschränkt waren, hatten ein höheres Risiko, postoperativ ein Delir zu entwickeln.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".