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Table 2 Diagnosis performance of enrolled literature in the meta-analysis

From: The utility of long non-coding RNAs in chronic obstructive pulmonary disease: a comprehensive analysis

Study

lncRNA

TP

FP

FN

TN

SEN%

SPE%

AUC

COPD vs. NC

Ge2019 [25]

ANRIL

96

84

42

56

69.6%

40.0%

0.543

Ming2019 [13]

NEAT1

70

46

20

44

77.8%

48.9%

0.642

Du2020 [27]

PACER

37

1

18

44

66.7%

97.8%

0.867

Wang2020a [28]

LINC00987

22

3

7

30

76.2%

91.2%

0.798

Wang2020b [29]

PVT1

62

21

18

59

77.6%

73.9%

0.813

Hao2021 [31]

OIP5-AS1

54

10

8

45

87.1%

81.4%

0.903

Liu2021 [32]

CASC2

39

4

11

46

78.0%

92.0%

0.924

Zhao2021 [33]

LUCAT1

67

40

3

30

95.5%

42.4%

0.892

Mao2022 [35]

PVT1

269

7

31

58

89.6%

89.7%

0.878

Wei2022 [36]

MEG3

33

10

10

16

76.9%

60.0%

0.661

Xu2022 [37]

LINC00599

23

2

7

28

76.7%

93.3%

0.896

Xiao2023 [38]

LINC00612

24

2

8

32

75.0%

93.9%

0.929

AECOPD vs. NC

Ge2019 [25]

ANRIL

122

70

14

70

89.7%

50.0%

0.700

Ming2019 [13]

NEAT1

84

28

6

62

93.3%

68.9%

0.869

Qi2019† [26]

NR-026690

55

19

1

16

98.2%

46.4%

0.757

Qi2019† [26]

ENST00000447867

47

11

9

24

83.3%

68.2%

0.721

Liu2020 [14]

MALAT1

119

20

1

100

99.2%

83.3%

0.969

Wang2020b [29]

PVT1

67

5

13

75

83.6%

93.8%

0.953

AECOPD vs. COPD

Ge2019 [25]

ANRIL

122

77

14

61

89.7%

44.2%

0.659

Ming2019 [13]

NEAT1

79

28

11

56

87.8%

62.2%

0.779

Qi2019† [26]

NR-026690

33

7

18

44

64.3%

86.0%

0.838

Qi2019† [26]

ENST00000447867

19

5

32

46

38.1%

89.3%

0.666

Liu2020 [14]

MALAT1

77

20

43

100

64.2%

83.3%

0.846

Wang2020b [29]

PVT1

40

8

40

72

50.0%

90.0%

0.739

Wu2020 [30]

Lnc-IL7R

17

8

2

19

89.5%

70.4%

0.856

Chen2021 [15]

NEAT1

103

15

19

163

84.4%

91.6%

0.887

Bamodu2022 [34]

Lnc-IL7R

88

3

19

15

83.0%

83.3%

0.858