Proliferative Vitreoretinopathy (PVR) Update: Current Surgical Techniques and Emerging Medical Management
Bibliographic record
Abstract
Purpose: To provide an update on current surgical techniques and emerging medical management in proliferative vitreoretinopathy (PVR). Methods: A literature search was conducted on studies in the past decade with the inclusion of historical, landmark studies. Results: Proliferative vitreoretinopathy remains the primary obstacle to successful retinal detachment (RD) surgery, despite increasing knowledge on its pathophysiology and efforts to reduce its occurrence. A number of recent visualization and surgical advancements, including smaller gauge vitrectomies, have shown promising results. Likely, effective PVR prevention and treatment may rest on a multimodal approach, with particular attention toward adjunct pharmacological use. There is a growing body of literature on effective anti-inflammatory, antineoplastic/proliferative, antigrowth factor, and antioxidant adjunct therapy. Nonetheless, a number of preoperative and perioperative risk factors must be assessed before considering any surgical or medical management. Newer preoperative risk factor findings, such as smoking, highlight the need for a broad consideration during patient counseling. Discussion: Most studies in this field are retrospective in design, and the number of randomized control trials is limited, owing to the uncommon nature and complicated clinical profiles of patients with PVR RDs. Prospective studies should consider including combination drug formulations as a part of its intervention. Surgical techniques that may mitigate the inflammatory response by reducing ocular trauma should also continue to be investigated.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Clinical narrative review of surgical and medical management of proliferative vitreoretinopathy; the object is patient treatment.
This review addresses clinical management of retinal disease rather than evidence-synthesis methodology.
Clinical literature update on PVR surgical and medical management, not methods of research.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".