Medikamentöse Defibrinogenierung zur Behandlung des akuten Hörverlustes – eine verblindete, placebokontrollierte In-vivo-Studie
Bibliographic record
Abstract
Sudden hearing loss is one of the most common inner-ear diseases. The underlying pathomechanism is still not fully understood and most often it remains idiopathic. One of its discussed causes is the disturbance of cochlear microcirculation that is either the primary cause but also considered to be the final common pathway of other aetiopathological factors. Fibrinogen affects microcirculation and hyperfibrinogenemia was identified as a risk factor for sudden hearing loss. The present study demonstrated in vivo that acute hyperfibrinogenemia increases hearing threshold. The animal model allows simultaneous measurement of hearing threshold by brainstem evoked response audiometry, and cochlear blood flow by intravital microscopy. Furthermore, by a central venous catheter, blood samples can be taken, and application of medication is possible. A sudden hearing loss was induced by acute hyperfibrinogenemia. Next, in an experimental therapy trial, drug-induced defibrinogenation by ancrod was demonstrated for treatment of this vascular inner ear impairment. Reduction of pathologic fibrinogen levels was followed by an increase of cochlear blood flow, accompanied by a recovery of hearing loss. Placebo treatment had no effect on hearing thresholds or parameters of cochlear microcirculation. Ancrod was already marketed in Europe and Canada for indications like peripheral arterial occlusive disease, deep vein thrombosis, and prophylaxis for thromboembolism. It is safe and easy to monitor by routine laboratory tests measuring plasma fibrinogen level. The reduction of plasma fibrinogen might serve as a future treatment option for acute hearing loss.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".