Novel Surgical Techniques to Control Flow With PreserFlo MicroShunt for Late Hypotony After Baerveldt Drainage Device Implantation
Bibliographic record
Abstract
We report a new surgical technique for controlling flow with a PreserFlo MicroShunt, in patients with late postoperative hypotony, following a Baerveldt glaucoma drainage device implantation. We present 2 cases with late postoperative hypotony after Baerveldt-shunt implantations. In both cases, the outflow resistance of the Baerveldt tube was modulated by the insertion of a PreserFlo MicroShunt into the lumen of the Baerveldt tube. In the first case, the Microshunt was inserted through the distal opening of the tube in the anterior chamber. In the second case, an end plate, sided approach was chosen after opening the conjunctiva. In both cases, the hypotony was successfully treated. The intraocular pressure rose immediately after the procedure, and it remained well controlled within the targeted range during the first postoperative months without additional pressure-lowering medication. This novel surgical technique provided predictable flow reductions, according to the Hagen-Poiseuille equation. This approach offers a valuable alternative to permanent tube ligation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".