ArticleEuropean journal of ophthalmology2016
Predictive modeling of risk factors and complications of cataract surgery.
Article in European journal of ophthalmology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Adherence of studies involving artificial intelligence in the analysis of ophthalmology electronic medical records to AI-specific items from the CONSORT-AI guideline: a systematic review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024Pooled it
- The Eight-Chop Technique in Nonagenarian Patients: Real-World Intraoperative and Postoperative Outcomes.Journal of clinical medicine · 2026Article
- Rates and associated risk factors for cataract surgery complications in academic medical centers.Journal of cataract and refractive surgery · 2026Article
- Evaluation of Routine Clinical Deployment of an Autonomous Artificial Intelligence Assistant for Cataract Follow-Up in the National Health Service.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Morphologic features of crystalline lens in cataract patients with different lens sclerosis and axial length.BMC ophthalmology · 2025Article
- Visual and Surgical Outcomes of Outreach Cataract Surgeries in Ilam District of Nepal: An Observational Study.JNMA; journal of the Nepal Medical Association · 2024Observational
- Review
- Best-Corrected Visual Acuity Quantitative Prediction for Cataract Patients: AI-Assisted Clinical Diagnostics Facilitation via the Inverse Problem Algorithm.Diagnostics (Basel, Switzerland) · 2024Article
- Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records.Translational vision science & technology · 2024Article
- Are there sex-based disparities in cataract surgery?International journal of ophthalmology · 2024Article
- Article
- When should cataract surgeons seek assistance from experienced colleagues?International ophthalmology · 2023Review
- Natural Language Processing: from Bedside to Everywhere.Yearbook of medical informatics · 2022Article
- Predictors of visual acuity improvement after phacoemulsification cataract surgery.Frontiers in medicine · 2022Article
- Applications of natural language processing in ophthalmology: present and future.Frontiers in medicine · 2022Review
- The contribution of wet labs in the education of ophthalmologists.Annals of medicine and surgery (2012) · 2021Article
- Predisposing Factors for Severe Complications after Cataract Surgery: A Nationwide Population-Based Study.Journal of clinical medicine · 2021Article
- Post-injection endophthalmitis rates with reduced povidone-iodine prophylaxis in patients with self-reported iodine sensitivity.Eye (London, England) · 2021Article
- Comparing cataract surgery complication rates in veterans receiving VA and community care.Health services research · 2020Article
- Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology.Translational vision science & technology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
purposeCataract surgery is generally safe; however, severe complications exist. Preexisting conditions are known to predispose patients to intraoperative and postoperative complications. This study quantifies the relationship between aggregated preoperative risk factors and cataract surgery complications, and builds a model predicting outcomes on an individual level, given a constellation of patient characteristics.
methodsThis study utilized a retrospective cohort of patients age 40 years or older who received cataract surgery. Risk factors, complications, and demographic information were extracted from the Electronic Health Record based on International Classification of Diseases, 9th edition codes, Current Procedural Terminology codes, drug prescription information, and text data mining. We used a bootstrapped least absolute shrinkage and selection operator model to identify highly associated variables. We built random forest classifiers for each complication to create predictive models.
resultsOur data corroborated existing literature, including the association of intraoperative complications, complex cataract surgery, black race, and/or prior eye surgery with increased risk of any postoperative complications. We also found other, less well-described risk factors, including diabetes mellitus, young age (<60 years), and hyperopia, as risk factors for complex cataract surgery and intraoperative and postoperative complications. Our predictive models outperformed existing published models.
conclusionsThe aggregated risk factors and complications described here can guide new avenues of research and provide specific, personalized risk assessment for a patient considering cataract surgery. Furthermore, the predictive capacity of our models can enable risk stratification of patients, which has utility as a teaching tool as well as informing quality/value-based reimbursements.
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Registered trials
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.