Evidence map›Paper›PMID 40205448›Full record

ArticleBMC ophthalmology2025

Influencing factors and prediction model construction of posterior capsular opacification after intraocular lens implantation treated with Nd: YAG laser.

Hongmei Chang, Qiang Fang, Xianli Liu

Abstract read
In one paragraph

Article in BMC ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hongmei ChangDepartment of Ophthalmology, Zibo Municipal Hospital, No. 139, Huangong Road, Linzi District, Zibo City, Shandong Province, 255400, China. hongmeidoc@163.com.
Qiang FangDepartment of Ophthalmology, 148 Hospital of Zibo City, RongTong Medical Healthcare Group Co. Ltd, Zibo, 255300, China.
Xianli LiuDepartment of Ophthalmology, Zibo Municipal Hospital, No. 139, Huangong Road, Linzi District, Zibo City, Shandong Province, 255400, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the influencing factors of posterior capsular opacification (Posterior Capsular Opacification, PCO) after intraocular lens implantation treated with Nd: YAG(Neodymium: Yttrium-Aluminum-Garnet) laser and to establish a predictive model to evaluate its risk.

methodsFrom January 2018 to June 2023, the data of 312 patients with posterior capsule opacification and Nd: YAG laser treatment in our hospital were retrospectively analyzed. All patients were randomly divided into training group (218 cases) and verification group (94 cases) at the ratio of 7:3. In the training set, the independent risk factors of posterior capsule opacification before operation were identified by multivariate Logistic regression analysis, and the nomogram prediction model was constructed. By drawing ROC (receiver operating characteristic) curve and calibration curve, the prediction effectiveness of the model is evaluated, and the verification is carried out in the verification set, and its clinical application value is explored by Decision Curve Analysis (DCA).

resultsAmong 312 patients, 84 (22.92%) developed PCO. The logistic results showed that age ≥ 60 years, extracapsular excision surgery, multifocal intraocular lens, axial length ≥ 24 mm, preoperative visual acuity < 0.3, high laser energy, and large posterior capsule incision aperture were associated with the occurrence of PCO (P < 0.05). The C-index indexes of the nomograph model were 0.870 and 0.842 in the training set and verification set, respectively, and the average was absolute. In the Hosmer-Lemeshow test, the χ

conclusionThe nomogram prediction model based on Nd: YAG laser treatment of PCO risk factors after intraocular lens implantation has high accuracy and calibration, which can provide a key reference for formulating preventive measures, help to reduce the incidence of PCO and improve the prognosis of patients.

Indexed as

Capsule OpacificationLasers, Solid-StateLaser TherapyLens Implantation, IntraocularPosterior Capsule of the LensPostoperative ComplicationsAdultAgedFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesRisk FactorsROC CurveInfluencing factorsIntraocular lens implantationNd:YAG laserPosterior capsule opacitiesPrediction model

Identifiers

PMID40205448
PMCPMC11983835

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.