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Record W4410640436 · doi:10.1016/j.jfop.2025.100174

Effects of Lens Extraction versus Laser Peripheral Iridotomy on Anterior Segment Parameters in Primary Angle Closure Suspects: A Systematic Review and Meta-analysis

2025· article· en· W4410640436 on OpenAlexaboutno aff
Marwa Elsharkawy, Mohamed M. Elnagar, Ahmed Sermed Al Sakini, Ahmed Kareem Al-Badiri, Alhasan Ali Al-Magsousi, Ahmed Taha Abdelsattar, Fatma Mohammed Mostafa, Alaa R. AL-Ihribat, Yahya A. Mahmoud, Mohammed A. Fenjan, Hashem Abu Serhan

Bibliographic record

VenueJFO Open Ophthalmology · 2025
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsOphthalmologyPeripheralClosure (psychology)Lens (geology)MedicineExtraction (chemistry)OptometryMaterials scienceOpticsInternal medicineChemistryPhysicsChromatography

Abstract

fetched live from OpenAlex

Background Primary angle closure suspect (PACS) is characterized by an anatomically narrow anterior chamber angle, predisposing individuals to angle closure and subsequent glaucomatous damage. Prophylactic interventions including laser peripheral iridotomy (LPI) and lens extraction (LE) can be employed to mitigate this risk, especially in high-risk patients. While both procedures aim to widen the iridocorneal angle, their comparative efficacy in improving anterior segment parameters remains a subject of ongoing investigation. Purpose This meta-analysis aimed to evaluate the comparative effects of lens extraction (LE) and laser peripheral iridotomy (LPI) on anterior segment parameters in primary angle closure suspects (PACS). The analysis encompassed a range of metrics, including angle opening distance (AOD), trabecular iris space area (TISA), trabecular iris angle (TIA), iris curvature (I-CURV), trabecular-ciliary process distance (TCPD), lens vault (LV), and mean Shaffer gonioscopy grading. Method A comprehensive search was conducted across PubMed, Scopus, Web of Science (WOS), and Cochrane Library to identify studies comparing the effects of laser peripheral iridotomy (LPI) and lens extraction (LE) on anterior segment morphology. Studies of all original design were included except case reports and case series. Effect estimates for continuous outcomes were expressed as mean differences (MD) with 95% confidence intervals (CIs). Meta-analysis was performed using Review Manager (version 5.4). The methodological quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS) tool. Results Four studies met the inclusion criteria for the meta-analysis. LE demonstrated consistently greater improvements compared to LPI in both short-term (1 month) and long-term (2 years) follow-up across all evaluated metrics. At one month, LE resulted in significantly larger anterior chamber angle metrics, including AOD500 and AOD750 (mean differences: -0.19 mm and -0.26 mm, respectively; both p < 0.00001), with these effects persisting at two years. Similarly, TISA500 and TISA750 were notably larger after LE (mean differences: -0.07 mm² and -0.21 mm²; both p < 0.00001). LE also achieved a greater reduction in TIA (-21.85 °; p < 0.00001), while I-CURV and TCPD improvements significantly favored LE (both p < 0.00001). Additionally, LV increased more substantially following LE (0.86 mm; p < 0.00001). Mean Shaffer gonioscopy grading also showed superior outcomes with LE (Standardized mean difference (SMD): -2.49; p < 0.00001). Conclusion LE consistently enhances anterior chamber dimensions, including AOD, TISA, and TIA, with benefits sustained for up to two years in patients with PACS. These anatomical improvements suggest a more effective long-term approach to reducing intraocular pressure and preventing disease progression. Clinicians should consider early LE in appropriate patients to optimize angle widening and minimize the need for additional interventions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.341
Teacher spread0.310 · 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 teacher head, not a consensus.

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

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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