Table 2 Associations between risk identification model and participant outcomes

From: A deep learning system for predicting time to progression of diabetic retinopathy

  

Eyes with DR progression incidence per 1,000 eye-years (number of cases/number of eyes)

ARRa (95% CI)

Integrated hospital–community diabetes management program

IM group (n = 1,076)

DeepDR Plus-low risk (AI-low)

Metadata-low risk (meta-low)

−33.05 (−67.79, 35.76)

5.11 (16/626)

7.63 (24/629)

DeepDR Plus-high risk (AI-high)

Metadata-high risk (meta-high)

14.54 (−28.26, 74.63)

26.67 (60/450)

23.27 (52/447)

Non-IM (n = 3,294)

DeepDR Plus-low risk (AI-low)

Metadata-low risk (meta-low)

−91.63 (−93.91, −89.06)

5.01 (50/1,996)

11.34 (113/1,993)

DeepDR Plus-high risk (AI-high)

Metadata-high risk (meta-high)

61.36 (25.36, 109.91)

33.13 (215/1,298)

23.37 (152/1,301)

Comprehensive interventions: [(AI-high + AI-low) − (meta-high + meta-low)] in IM group − [(AI-high + AI-low) − (meta-high + meta-low)] in non-IM group

46.80 (12.37, 94.93)

Sankara Nethralaya-Diabetic Retinopathy Epidemiology and Molecular Genetics Studyb

IM group (n = 146)

DeepDR Plus-low risk (AI-low)

Metadata-low risk (meta-low)

−9.39 (−79.77, 287.41)

4.08 (2/98)

4.49 (2/89)

DeepDR Plus-high risk (AI-high)

Metadata-high risk (meta-high)

20.48 (−70.93, 400.0)

25.0 (6/48)

21.05 (6/57)

Non-IM group (n = 1,798)

DeepDR Plus-low risk (AI-low)

Metadata-low risk (meta-low)

−97.32 (−98.28, −96.32)

5.24 (28/1,068)

13.0 (70/1,077)

DeepDR Plus-high risk (AI-high)

Metadata-high risk (meta-high)

43.13 (9.1, 87.18)

44.11 (161/730)

33.01 (119/721)

Comprehensive interventions: [(AI-high + AI-low) − (meta-high + meta-low)] in IM group − [(AI-high + AI-low) − (meta-high + meta-low)] in non-IM group

88.74 (10.83, 330.25)

  1. aARR is reported as ‘median (95% CI)’ by bootstrapping. bOnly eyes with gradable fundus images in both baseline and follow-up visits in the Sankara Nethralaya-Diabetic Retinopathy Epidemiology and Molecular Genetics Study were included.