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. 2022 Apr 19;32:15. doi: 10.1038/s41533-022-00275-x

Table 2.

Subgroup analysis of all included studies.

Factor Studies Sensitivity (95% CI) I2 Model used Specificity (95% CI) I2 Model used SROC (95% CI)
All studies 31 0.85 (0.81–0.88) 77.87% Random 0.85 (0.81–0.88) 95.48% Random 0.91 (0.89–0.94)
Type of the device
 COPD-6 14 0.84 (0.80–0.88) 79.22% Random 0.85 (0.79–0.90) 95.85% Random 0.91 (0.88–0.93)
 Piko-6 6 0.89 (0.76–0.96) 84.17% Random 0.88 (0.75–0.94) 96.11% Random 0.95 (0.92–0.96)
 PEF 4 0.77 (0.73–0.81) 1.13% Fixed 0.83 (0.71–0.91) 94.04% Random 0.82 (0.78–0.85)
 Hi-checker 2 0.75 (0.63–0.84) 91.20% Random 0.86 (0.82–0.90) 92.80% Random
 IQ-spiro 1 0.94 0.92
 SP10BT 1 0.83 0.75
 Medikro SpiroStar 1 0.92 0.84
 MS01 Micro spirometer 1 0.89 0.58
 Spirobank Smart 1 0.83 0.92
Detection indicators
 PEF 4 0.77 (0.73–0.81) 1.13% Fixed 0.83 (0.71–0.91) 94.04% Random 0.82 (0.78–0.85)
 FEV1/FVC 4 0.85 (0.81–0.88) 6.47% Fixed 0.80 (0.65–0.90) 96.14% Random 0.87 (0.84–0.90)
 FEV1/FEV6 23 0.85 (0.81–0.89) 82.09% Random 0.86 (0.81–0.90) 95.54% Random 0.92 (0.90–0.94)
Threshold selection method
 Fixed 4 0.83 (0.65–0.92) 90.39% Random 0.89 (0.79–0.94) 94.40% Random 0.93 (0.90–0.95)
 Cutoff 19 0.86 (0.81–0.89) 80.62% Random 0.85 (0.80–0.90) 95.43% Random 0.92 (0.89–0.94)
P 0.673 0.385 0.581
Type of indicators
 Multi-index 27 0.85 (0.82–0.88) 79.21% Random 0.85 (0.81–0.89) 95.60% Random 0.92 (0.89–0.94)
 Single index 4 0.77 (0.73–0.81) 1.13% Fixed 0.83 (0.71–0.91) 94.04% Random 0.82 (0.78–0.85)
P <0.001 0.716 <0.001
Country
 Developed 23 0.85 (0.81–0.88) 73.60% Random 0.83 (0.78–0.87) 95.52% Random 0.90 (0.88–0.93)
 Developing 8 0.84 (0.77–0.89) 88.47% Random 0.90 (0.85–0.93) 96.57% Random 0.94 (0.91–0.95)
P 0.778 0.023 0.015
Executive place
 Tertiary hospital 10 0.89 (0.83–0.93) 81.27% Random 0.92 (0.89–0.95) 82.86% Random 0.96 (0.94–0.97)
 Primary care/community 21 0.83 (0.79–0.87) 76.98% Random 0.80 (0.75–0.85) 95.97% Random 0.89 (0.86–0.91)
P 0.066 <0.001 <0.001
Study setting
 Hospital-based 27 0.85 (0.81–0.88) 77.64% Random 0.85 (0.80–0.89) 95.81% Random 0.91 (0.89–0.93)
 Population-based 4 0.85 (0.78–0.90) 86.53% Random 0.87 (0.84–0.90) 94.79% Random 0.93 (0.90–0.95)
P 0.999 0.469 0.222
Population
 No COPD 13 0.86 (0.78–0.91) 80.71% Random 0.87 (0.81–0.92) 94.67% Random 0.93 (0.90–0.95)
 The whole crowd 18 0.84 (0.81–0.87) 76.22% Random 0.83 (0.78–0.87) 95.81% Random 0.90 (0.87–0.93)
P 0.584 0.271 0.133
Publication year
 2000–2016 15 0.83 (0.79–0.86) 66.10% Random 0.83 (0.77–0.87) 95.94% Random 0.89 (0.86–0.92)
 2017–2021 16 0.86 (0.80–0.90) 83.90% Random 0.87 (0.81–0.91) 95.02% Random 0.92 (0.89–0.95)
P 0.336 0.267 0.178

The study divides countries into developed and developing countries according to HDI. When HDI > 0.80, it is classified as a developed country and if otherwise, developing country59.

SROC summary receiver operating characteristic curve.

aOwing to the complexity of the bivariate model and the limited number of studies, the groups with n ≥ 4 were pooled using a bivariate model. The remaining data were pooled by univariate random-effects logistic regression model. We also tested for the difference in the sensitivity or specificity between the two groups using the bivariate model. The AUC difference in the area under the SROC between the groups was obtained by Z test.