Evidence map›Paper›PMID 41003974›Full record

ReviewOphthalmology and therapy2025

A Practical Approach for Optimizing Ocular Surface Status Before Cataract Surgery to Improve Visual Outcomes and Reduce the Risk of Postoperative Dry Eye.

Giulia Coco, Elisabeth M Messmer, Christopher E Starr, José Alvaro Pereira-Gomes, Sihem Lazreg, Nikolina Budimlija, Carlo Nucci, Giuseppe Giannaccare

Abstract readReview
In one paragraph

Review in Ophthalmology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Giulia CocoOphthalmology Unit, Department of Clinical Sciences and Translational Medicine, University of Rome Tor Vergata, Rome, Italy.
Elisabeth M MessmerDepartment of Ophthalmology, Ludwig-Maximilians University, Munich, Germany.
Christopher E StarrWeill Cornell Medicine, New York, NY, USA.
José Alvaro Pereira-GomesDepartment of Ophthalmology and Visual Sciences, Paulista School of Medicine, Federal University of Sao Paulo, Sao Paulo, Brazil.
Sihem LazregCornea and Ocular Surface Center Lazreg, 09000, Blida, Algeria.
Nikolina BudimlijaInstitute of Eye Surgery, Clane, Ireland.
Carlo NucciOphthalmology Unit, Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy.
Giuseppe GiannaccareEye Clinic, Department of Surgical Sciences, University of Cagliari, Cagliari, Italy. giuseppe.giannaccare@unica.it.ORCID http://orcid.org/0000-0003-2617-0289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dry eye disease (DED) is highly prevalent among patients undergoing cataract surgery but is frequently underdiagnosed. Its presence can significantly affect preoperative biometric measurements and intraocular lens (IOL) power calculations, along with postoperative outcomes, particularly in patients receiving premium IOLs. Identifying and managing ocular surface disease (OSD) before surgery presents a valuable opportunity to optimize the ocular surface, reduce the risk of refractive surprises, and enhance both visual quality and patient satisfaction. This review summarizes current evidence on the prevalence of DED in patients with cataract, its impact on surgical planning and outcomes, and further outlines a practical approach for preoperative evaluation and optimization. Key strategies include risk stratification, targeted diagnostics, and individualized treatment regimens. Incorporating ocular surface assessment and treatment into the routine preoperative workflow is both feasible and essential in the context of modern cataract surgery. A structured, multimodal approach to DED management can significantly improve surgical precision and long-term visual outcomes.

Indexed as

Cataract surgeryDEDDry eye diseaseIntraocular lens calculationOcular surface optimization

Identifiers

PMID41003974
PMCPMC12534211

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.