Anti-Vascular Endothelial Growth Factor Treatment Outcomes in Macular Telangiectasia: A Systematic Review
Bibliographic record
Abstract
INTRODUCTION: Macular telangiectasia (MacTel) is a rare retinal condition that can cause vision loss, and anti-vascular endothelial growth factor (anti-VEGF) agents have emerged as a potential treatment. This study aimed to evaluate the clinical outcomes of anti-VEGF therapy in patients with MacTel. METHODS: A systematic literature search on Ovid MEDLINE, Embase, and Cochrane Library was performed from inception to June 2024 for comparative studies on anti-VEGF agents in MacTel. The primary outcome was the change in best-corrected visual acuity (BCVA). Secondary outcomes were central macular thickness (CMT), central choroidal thickness (CCT), and fluorescein angiography (FA) leakage. RESULTS: Ten studies on 377 eyes of 239 patients followed up over 23.4 ± 8.3 months were included. Mean (SD) BCVA changed from 0.42 (0.39) to 0.35 (0.18) over 23.4 (8.3) months of follow-up in non-proliferative MacTel. Mean BCVA changed from 0.66 (0.43) to 0.52 (0.34) at final follow-up in eyes with choroidal neovascularization (CNV). Five studies reported improved visual acuity, one showed improved FA leakage without visual acuity benefit, and four found no functional benefit. In non-proliferative MacTel, four studies showed no functional improvement, two reported significant functional and morphological improvements, and one suggested potential benefits in improving BCVA. In proliferative MacTel, two studies demonstrated improvement in both anatomical and functional outcomes, while one indicated that anti-VEGF treatment might produce improved results. In non-proliferative MacTel, mean CMT changed from 201 (32) µm to 199 (29) µm. CMT in patients with CNV decreased from an initial value of 328.23 (161.16) µm to 267.44 (118.56) µm at the final follow-up. CCT in proliferative MacTel eyes decreased from 272.37 (52.65) µm and 247.40 (48.80) µm on anti-VEGF therapy. Overall, FA leakage outcomes were improved on ranibizumab therapy. No study documented any significant adverse effects with treatment. CONCLUSION: Anti-VEGF agents may be associated with favorable anatomical and functional outcomes, particularly in proliferative MacTel; however, future large-scale clinical trials are warranted.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".