Cataract surgery risk stratification models: a systematic review
- Chaerim Kang 1, Angela S Zhu 1, Olivia Waldman 2, T Michael Kashner 3,4, Paul B Greenberg 5,6
- Chaerim Kang 1, Angela S Zhu 1, Olivia Waldman 2
- 1Division of Ophthalmology, Alpert Medical School, Brown University, Coro Center West, 1 Hoppin St, Suite 200, Providence, Rhode Island, 02903, USA.
- 2School of Public Health, Brown University, Providence, Rhode Island, USA.
- 3Department of Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA.
- 4Office of Academic Affiliations, Department of Veterans Affairs, Washington, District of Columbia, USA.
- 5Division of Ophthalmology, Alpert Medical School, Brown University, Coro Center West, 1 Hoppin St, Suite 200, Providence, Rhode Island, 02903, USA. paul_greenberg@brown.edu.
- 6Section of Ophthalmology, VA Providence Healthcare System, Providence, Rhode Island, USA. paul_greenberg@brown.edu.
- 0Division of Ophthalmology, Alpert Medical School, Brown University, Coro Center West, 1 Hoppin St, Suite 200, Providence, Rhode Island, 02903, USA.
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February 3, 2025
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View abstract on PubMed
Summary
This summary is machine-generated.Risk stratification models for cataract surgery help surgeons, but current versions have limitations. Improvements in methodology and validation are needed for better clinical decision-making and patient outcomes.
Area Of Science
- Ophthalmology
- Surgical Risk Assessment
- Clinical Decision Support
Background
- Risk stratification models aid cataract surgeons in predicting surgical complications.
- Categorizing patients by complication likelihood supports clinical decision-making.
Conclusions
- Cataract surgeons must recognize the limitations of current risk stratification models.
- Enhancements require more robust methodologies, standardized outcome measures, and external validation.
- Improved models will enhance preoperative risk assessment and surgical planning.
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