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Table 2 Agreement statistics for coding algorithms ascertaining acute and prevalent heart failure according to coding position

From: Accuracy of heart failure ascertainment using routinely collected healthcare data: a systematic review and meta-analysis

Coding algorithms according to event type and code position

Algorithms (N)

Sensitivity (95% CI)

I2 for sensitivity (95% CI)

Specificity (95% CI)

I2 for specificity (95% CI)

Acute HF

 All

17

63.5% (51.3–74.1)

99.3 (99.0–99.2)

96.2% (91.5–98.3)

99.7 (99.6–99.7)

 All studies with > 200 GS events

14

59.8% (48.1–70.5)

99.3 (99.1–99.4)

96.2% (92.1–98.2)

99.6 (99.6–99.7)

 Studies at low risk of bias

9

55.5% (45.1–65.4)

98.9 (98.7–99.2)

97.2% (89.7–99.3)

99.7 (99.7–99.8)

 Any diagnostic position

13

62.3% (47.7–75.0)

99.5 (99.4–99.6)

94.2% (84.0–98.1)

99.7 (99.7–99.8)

 1ry diagnostic position

7

71.0% (49.4–86.0)

99.8 (99.7–99.8)

97.8% (93.4–99.3)

99.7 (99.7–99.8)

Prevalent HF

 All

21

63.7% (55.3–71.3)

98.6 (98.3–98.8)

98.1% (97.0–98.8)

98.7 (98.5–98.9)

 All studies with > 200 GS events

10

60.8% (50.9–70.6)

99.4 (99.3–99.5)

98.1% (96.4–99.0)

99.2 (99.0–99.4)

 Studies at low risk of bias

8

64.3% (54.0–73.4)

98.9 (98.6–99.2)

97.7% (96.2–98.6)

97.9 (97.2–98.6)

 Any diagnostic position

17

63.0% (53.9–71.3)

98.7 (98.4–98.9)

98.2% (96.9–99.0)

99.0 (98.8–99.2)

 2ry diagnostic position

4

66.4% (45.8–82.2)

99.2 (98.9–99.5)

97.1% (96.0–98.0)

88.9 (79.6–98.3)

  1. CI indicates confidence intervals, HF heart failure, I2 I2 statistic describing the percentage of variation across studies that is due to heterogeneity rather than chance, N number of study algorithms (the same study can contribute > 1 algorithm in the subgroups if > 1 diagnostic position used, or the same study assessed acute and prevalent HF)