Gao 2022.
| Study characteristics | |||
| Patient Sampling | Single‐centre, retrospective, case‐control study, in the Affiliated Eye Hospital of Wenzhou Medical University, China. A total of 208 participants (1040 corneal topography images) were evaluated and divided into the following 3 groups.
Data were collected between 2012 and 2018 using the Pentacam system and analysed from February 2019 to December 2021. The corneal data of pachymetry and elevation were exported from the Pentacam HR system (Oculus, Optikgeräte GmbH, Wetzlar, Germany). |
||
| Patient characteristics and setting | Each image was previously assigned to the following 3 groups.
|
||
| Index tests | Neural network, called Keratoscreen. The preprocessing model separately established Zernike coefficients (ZC) data sets of 5 corneal surface maps: the anterior corneal curvature (DA), posterior corneal curvature (DP), anterior corneal elevation (DAE), posterior corneal elevation (DPE), and corneal thickness data (pachymetry DPAC). The first N (N #15) ZC terms (5 orders, when N = 15) obtained from each map were used to form ZC data sets. KeratoScreen, with L = 4 layers (1 input layer, 2 hidden layers, and 1 output layer), was used in this study. The neurons on the input layer have N nodes that take an input vector ZC and outputs through 2 hidden layers. To train the algorithm they used 20 repeats with the randomly generated training and test sets, and the results were averaged. However, it is unclear whether they reused the same data for training and testing. | ||
| Target condition and reference standard(s) |
|
||
| Flow and timing | All cases were included in the reference standard and index test. All data were included in a 2 × 2 table. | ||
| Comparative | Not applicable | ||
| Notes | The research received funding through 21NDJC309YBM from the Zhejiang Philosophy and Social Science Planning Project (China), LZ21F020008 from the Natural Science Foundation of Zhejiang Province (China), 2019C03045 from the National Key Project of Research and Development Program of Zhejiang Province (China), and LY21A040001 from the Natural Science Foundation of Zhejiang Province (China). | ||
| Methodological quality | |||
| Item | Authors' judgement | Risk of bias | Applicability concerns |
| DOMAIN 1: Patient selection | |||
| Was a consecutive or random sample of patients enrolled? | Unclear | ||
| Was a case‐control design avoided? | No | ||
| Did the study avoid inappropriate exclusions? | No | ||
| Could the selection of patients have introduced bias? | High risk | ||
| Are there concerns that the included patients and setting do not match the review question? | High | ||
| DOMAIN 2: Index test (All tests) | |||
| Were the index test results interpreted without knowledge of the results of the reference standard? | Yes | ||
| If a threshold was used, was it pre‐specified? | Unclear | ||
| Was the model designed in an appropriate manner? | Unclear | ||
| Could the conduct or interpretation of the index test have introduced bias? | Unclear risk | ||
| Are there concerns that the index test, its conduct, or interpretation differ from the review question? | Low concern | ||
| DOMAIN 3: Reference standard | |||
| Is the reference standard likely to correctly classify the target condition? | Unclear | ||
| Were the reference standard results interpreted without knowledge of the results of the index tests? | Yes | ||
| Could the reference standard, its conduct, or its interpretation have introduced bias? | Unclear risk | ||
| Are there concerns that the target condition as defined by the reference standard does not match the question? | Low concern | ||
| DOMAIN 4: Flow and timing | |||
| Did all patients receive the same reference standard? | Unclear | ||
| Were all patients included in the analysis? | Yes | ||
| Could the patient flow have introduced bias? | Unclear risk | ||
| DOMAIN 5: Comparative | |||
| Were different AI tests were developed and interpreted without knowledge of each other. | |||
| Are the proportions and reasons for missing data similar for all index tests? | |||