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Record W2049089100 · doi:10.1016/j.jcrs.2007.12.025

ASCRS survey of endophthalmitis prophylaxis

2008· letter· en· W2049089100 on OpenAlexaboutno aff
Ayman Naseri, Thomas M. Lietman

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2008
Typeletter
Languageen
FieldMedicine
TopicOcular Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiscontinuationCataract surgeryOptometryRefractive surgeryAntibiotic prophylaxisFamily medicineOphthalmologySurgeryAntibiotics

Abstract

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Chang et al.1 share data gathered from an online survey sent to approximately 4000 members of the American Society of Cataract and Refractive Surgery (ASCRS) to understand the effect of the European Society of Cataract and Refractive Surgeons' (ESCRS) multicenter, randomized, controlled trial on surgeon practices with respect to antibiotic prophylaxis for cataract surgery. They received 1312 completed surveys for a response rate of approximately 33%. The survey results indicate that a minority of the respondents (30%) used intracameral antibiotics as an intracameral injection or via irrigating solution. The report also states that the ESCRS study “did not have an impact on the practice of 77% of respondents,” who said they were still not using intracameral antibiotics. We have 2 concerns about the survey results in this report. First, the timing of the survey may have been premature with respect to the complete published results of the ESCRS study. Although preliminary results announcing the discontinuation of the ESCRS study due to ethical concerns were published in March 2006,2 the full study was not published until June 2007.3 The survey to ASCRS members was sent via email in January 2007, months before the completed study was available for review by survey respondents. Even if the completed study results had been published before the survey, it is reasonable to expect a delay between the published results and a major change in the practice behavior of individual surgeons. Second, the survey collected data on each surgeon's annual cataract volume. Table 2 reveals that 362 of the 1312 respondents (27.6%) had an annual case load of over 5001; yet, the report does not share the relative practice behavior of surgeons stratified by the number of cases performed. Since endophthalmitis is a relatively rare disease, one might expect that high-volume surgeons would be most attuned to the best practices of antibiotic prophylaxis. Even before the published results of the ESCRS trial, many high-volume surgeons in the United States and Canada were vocal proponents of intracameral antibiotics, at the risk of significant public criticism (Chang DF. Vancomycin mixture. Available at: www.changcataract.com/pdf/docstools.pdf. Accessed January 12, 2008).4,5 If a large percentage of high-volume cataract surgeons were already using intracameral antibiotics, the ESCRS study results would not change the behavior of this group of surgeons, who are the most likely to be sensitive to new information about best practices. The complete impact of the ESCRS study on surgeon practice may not yet be realized. Perhaps many who were skeptical of the exhortations of our high-volume surgeon colleagues will slowly be persuaded by the best available evidence on this topic: a multicenter, randomized, controlled trial.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.059
GPT teacher head0.300
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther

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

Citations3
Published2008
Admission routes1
Has abstractyes

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