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Documenting the subjective patient experience of first vs second eye during immediately sequential bilateral cataract surgery

2025· article· en· W4412950133 on OpenAlexaff
Carmen Balian, Jack E. Teplitsky, Wissam B. Nassrallah, Aman P. Sayal, Rosa Braga-Mele, Sherif El-Defrawy, Amrit Rai, John C. Lloyd, Amandeep Rai

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsUniversity of TorontoWestern UniversityUniversity of British ColumbiaKensington Health
Fundersnot available
KeywordsMedicineCataract surgerySurgeryEye surgeryAnesthesia

Abstract

fetched live from OpenAlex

PURPOSE: To investigate if patients had a subjectively inferior experience during second-eye surgery vs first-eye surgery during immediate sequential bilateral cataract surgery (ISBCS) as both operations were performed within the same surgical visit. SETTING: Multisurgeon ophthalmic surgical center. DESIGN: Survey-based prospective design. METHODS: Patients of the center undergoing routine cataract surgery who enrolled in the study completed a questionnaire immediately after surgery to describe their surgical experience for each eye. Survey questions measured patient pain, discomfort or pressure, comfort, relaxation, estimated length of surgery, and predicted visual outcome. RESULTS: Patient-reported level of pain during the second-eye surgery was significantly greater than for the first eye ( P < .001). Furthermore, the order of surgery was found to be a strong predictor of patient-reported pain ( P < .001), more so than surgical length ( P < .008), additional anesthesia ( P < .35), patient age ( P < .44), or patient sex ( P < .88). Overall, surgery during the first eye was reported as more comfortable ( P < .001) and shorter in duration ( P < .001), while discomfort and pressure were reported as worse for the second eye ( P < .001). CONCLUSIONS: Understanding differential experiences between eyes can help surgeons when counselling patients regarding expectations for ISBCS and related visual outcomes.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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.

Study designObservational
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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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