Cochrane · systematic review · CD014911
Artificial intelligence for detecting keratoconus
Vandevenne, MMS, Favuzza, E, Veta, M, et al. · Cochrane Database of Systematic Reviews · 2023 · Cochrane Library
Eyes and VisionAMSTAR 2: not assessed
SoF tableOnly the outcomes this review put in its Summary of Findings table are listed (the Cochrane Handbook caps them at about seven per comparison). Its other analyses are not shown here.
Questions
2
current version
GRADE rated
2
No studies
0
Included studies
NR
No studies 0 · 0%Ungraded 0 · 0%Very low 1 · 50%Low 1 · 50%Moderate 0 · 0%High 0 · 0%
Ungraded means an effect was reported without a GRADE rating; it is not a gap. No studies means the review found nothing to answer the question. The six categories are a display order, not a score.
Questions and results
Summary of findings: artificial intelligence for the detection of keratoconus in refractive surgery candidates and people with refractive errors
| Outcome | Effect | Evidence | Status / GRADE |
|---|---|---|---|
Manifest keratoconus | no estimate extracted | 54 studies · 21330 participants | Low Downgraded: risk of bias, inconsistency, indirectness |
Subclinical keratoconus | no estimate extracted | 28 studies · 2758 participants | Very low Downgraded: risk of bias, imprecision, inconsistency, indirectness |