01.12.2017 | Research article | Ausgabe 1/2017 Open Access

Is neuron-specific enolase useful for diagnosing malignant pleural effusions? evidence from a validation study and meta-analysis
- Zeitschrift:
- BMC Cancer > Ausgabe 1/2017
Electronic supplementary material
Background
Method
Patient inclusion
Sample collection and measurement
Statistical analysis
Meta-analysis
Results
General clinical data of patients
Benign pleural effusion
|
Malignant pleural effusion
|
p value
|
|
---|---|---|---|
No. of Patient
|
102
|
136
|
|
Sex(male/female)
|
68/34
|
74/62
|
0.056
|
Age (years)
|
56 ± 19
|
58 ± 13
|
0.167
|
Pleural NSE (ng/ml)
|
6.41 ± 6.95
|
18.53 ± 27.30
|
<0.001
|
Pleural NSE (ng/mg of pleural protein)
|
0.15 ± 0.16
|
0.51 ± 0.88
|
<0.001
|
Pleural protein(g/l)
|
42.02 ± 13.04
|
41.84 ± 10.62
|
0.906
|
Pleural glucose (mmol/l)
|
5.84 ± 1.71
|
5.48 ± 2.51
|
0.216
|
Pleural LDH (U/l)
|
256.57 ± 181.22
|
502.99 ± 414.15
|
<0.001
|
Pleural LDH (U/g of pleural protein)
|
5.79 ± 3.95
|
13.68 ± 14.96
|
<0.001
|
Serum NSE (ng/ml)
|
13.77 ± 13.33
|
19.51 ± 16.54
|
0.004
|
Serum NSE (ng/mg of pleural protein)
|
0.39 ± 0.63
|
0.54 ± 0.61
|
0.067
|
Pleural/serum NSE ratio
|
0.56 ± 0.55
|
1.08 ± 1.54
|
0.001
|
Levels of NSE
Diagnostic accuracy of NSE
MPE
|
SCLC-MPE
|
|||||
---|---|---|---|---|---|---|
Serum NSE
|
Pleural NSE
|
Pleural/serum NSE ratio
|
Serum NSE
|
Pleural NSE
|
Pleural/serum NSE ratio
|
|
Cut-off
|
12.29 ng/ml
|
8.92 ng/ml
|
0.39
|
12.29 ng/ml
|
17.42 ng/ml
|
0.60
|
Sensitivity
|
66.91%
|
59.56%
|
79.41%
|
100%
|
100%
|
100%
|
Specificity
|
62.75%
|
83.33%
|
57.84%
|
62.75%
|
92.16%
|
69.60%
|
AUC
|
0.65
|
0.76
|
0.68
|
0.86
|
0.99
|
0.92
|
Meta-analysis
First author
|
Year
|
Country
|
Cases/controls
|
Standard
|
Method
|
Cut-off value
|
TP
|
FP
|
FN
|
TN
|
QUADAS
|
---|---|---|---|---|---|---|---|---|---|---|---|
Pettersson T
|
1988
|
Finland
|
31/22
|
Cytology, Histology
|
Radioimmunoassay
|
12.5μg/L
|
10
|
4
|
21
|
18
|
7
|
Shimokata K
|
1989
|
Japan
|
59/39
|
Cytology, Histology
|
EIA
|
26 ng/ml
|
11
|
2
|
48
|
37
|
8
|
Menard O
|
1993
|
France
|
24/18
|
Histology
|
Radioimmunoassay
|
8 ng/ml
|
13
|
2
|
11
|
16
|
8
|
San Jose ME
|
1997
|
Spain
|
88/183
|
Cytology, Histology
|
EIA
|
8.8μg/L
|
26
|
21
|
62
|
162
|
9
|
Miédougé M
|
1999
|
France
|
215/121
|
Cytology, Histology
|
EIA
|
18.1 ng/ml
|
39
|
3
|
176
|
118
|
10
|
Kuralay F
|
2000
|
Turkey
|
21/40
|
Histology
|
ELISA
|
8.7 ng/ml
|
21
|
2
|
0
|
38
|
9
|
Lee JH
|
2005
|
Korea
|
34/16
|
Histology
|
ELISA
|
20 ng/ml
|
12
|
1
|
22
|
15
|
10
|
Ghayumi SM
|
2005
|
Iran
|
40/37
|
Cytology, Histology
|
ELISA
|
5.21μg/ml
|
27
|
9
|
13
|
28
|
10
|
Topolcan O
|
2007
|
Czech Republic
|
80/78
|
Cytology, Histology
|
Immuno-radiometric assay
|
13.1 ng/ml
|
34
|
4
|
46
|
74
|
9
|
Wu GP
|
2007
|
China
|
74/34
|
Cytology, Histology
|
Immunoassay
|
5.2μg/L
|
51
|
15
|
23
|
19
|
9
|
Korczynski P
|
2009
|
Poland
|
36/38
|
Cytology, Histology
|
ECLIA
|
0.22 ng/ml
|
34
|
24
|
2
|
14
|
10
|
Wang Y
|
2013
|
China
|
160/40
|
Cytology, Histology
|
ECLIA
|
NA
|
95
|
15
|
65
|
25
|
11
|
Gu Y
|
2016
|
China
|
95/35
|
Histology
|
ECLIA
|
9.71 ng/ml
|
50
|
8
|
45
|
27
|
11
|
Zhu J
|
2016
|
China
|
136/102
|
Cytology, Histology
|
ECLIA
|
8.92 ng/ml
|
81
|
17
|
55
|
85
|
10
|