Hydrocephalus and the First Report of an External Ventriculostomy: The Contributions of Fabrici d'Acquapendente in the Italian Renaissance
Bibliographic record
Abstract
In our historical study, we are unveiling one of the very first surgical treatments of hydrocephalus originally scripted in Latin by Fabrici d'Acquapendente and then transcribed into the French language by Chez Pierre Ravaud. During the European Renaissance, Italian pioneering surgeon Fabricid'Acquapendente illustrated the technique performed at that time. Fabrici described the drainage of fluid for hydrocephalus using the insertion of a cannula. The cannula was kept in place for several days and the fluid was drained slowly and in regulated controlled amounts. Layers of bandage drapes were applied to prevent the leakage of fluid escaping from the wound. Unfortunately, we are missing some significant information regarding the surgical techniques as these were not documented by Fabrici. Although skull trephination was relatively well known, it is unsure whether at the time the cannula was inserted deep within the ventricles. Drainage of the fluid may have still occurred from the extracranial space. Moreover, we are unaware of how long the cannula was kept in place. Nonetheless, Fabrici d'Acquapendente may be considered among the first in Italy and possibly in Europe to lay down the foundations for external ventricular drainage system for hydrocephalus.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".