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Record W4409712388 · doi:10.37275/sjs.v7i2.122

Pars Plana Vitrectomy versus Scleral Buckling for Primary Rhegmatogenous Retinal Detachment Repair in Phakic Eyes: A Contemporary Systematic Review and Meta-Analysis of Anatomical and Functional Outcomes

2025· article· en· W4409712388 on OpenAlexaboutno aff
Ramzi Amin, Maria Ulfa

Bibliographic record

VenueSriwijaya Journal of Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsPars planaVitrectomyOphthalmologyRetinal detachmentScleral bucklingMedicineRetinalVisual acuity

Abstract

fetched live from OpenAlex

Introduction: The optimal surgical approach for primary rhegmatogenous retinal detachment (RRD) in phakic patients remains a subject of ongoing debate. Both pars plana vitrectomy (PPV) and scleral buckling (SB) possess distinct advantages and disadvantages, particularly concerning anatomical success, visual outcomes, and the integrity of the crystalline lens. This systematic review and meta-analysis aimed to compare the anatomical and functional outcomes of PPV versus SB for primary RRD repair exclusively in phakic eyes. Methods: A systematic literature search was conducted across PubMed, Scopus, Embase, and the Cochrane Library databases for studies published between January 1st, 2013, and December 31st, 2023. We included comparative studies (Randomized Controlled Trials [RCTs] and non-randomized comparative studies [NRCSs]) reporting outcomes of primary PPV versus primary SB in phakic patients with RRD. Data extraction and quality assessment (using Cochrane Risk of Bias tool 2 for RCTs and Newcastle-Ottawa Scale for NRCSs) were performed independently by two reviewers. Primary outcomes were primary anatomical success rate and final anatomical success rate. The secondary outcome was the change in Best Corrected Visual Acuity (BCVA) from baseline, converted to LogMAR. Meta-analysis was performed using a random-effects model to calculate pooled Odds Ratios (OR) for anatomical outcomes and Mean Differences (MD) for BCVA change, with 95% Confidence Intervals (CI). Heterogeneity was assessed using the I² statistic. Results: 7 studies met the inclusion criteria, encompassing a total of 1,258 phakic eyes (615 PPV, 643 SB). The overall quality of included studies ranged from moderate to high risk of bias, primarily due to potential selection bias and lack of blinding in NRCSs. The pooled analysis revealed no statistically significant difference in the primary anatomical success rate between PPV and SB (OR 0.92, 95% CI [0.68, 1.24], P=0.58; I²=35%). Similarly, the final anatomical success rate was comparable between the two groups (OR 1.05, 95% CI [0.70, 1.57], P=0.81; I²=15%). Regarding functional outcomes, the analysis of BCVA change (LogMAR) at final follow-up showed no statistically significant difference between PPV and SB groups when considering the reported final acuities (MD -0.03 LogMAR, 95% CI [-0.12, 0.06], P=0.51; I²=55%). Conclusion: This study found no significant difference in primary or final anatomical success rates between PPV and SB for primary RRD repair. Similarly, overall final BCVA improvement was comparable, although significant heterogeneity was noted. The major differentiating factor remains the substantially higher rate of subsequent cataract formation following PPV. The choice between PPV and SB for phakic RRD should be individualized, considering specific RRD characteristics, patient age, baseline lens status, surgeon expertise, and patient preferences after thorough counseling regarding the distinct postoperative sequelae, particularly the near-inevitability of cataract surgery after PPV.

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 imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.031
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.099
GPT teacher head0.332
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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