Table 1 Characteristics of included studies about the relation between vitamin d and lung function in asthma patients
From: Meta-analysis of vitamin D and lung function in patients with asthma
Author (year) | Country | Research | Partients | Ages | Measurement | VitaminD level (ng/ml) | rFEV1% | rFEV1 | rFVC | FVC % | rFEV1/FVC | ACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Searing,D.A2010 [22] | USA | cross-sectional | 100 | 7 (4–10) | CLIA | median value:31 | 0.34 | NG | NG | 0.12 | 0.3 | NG |
Sutherland,E.R.2010 [23] | USA | cross-sectional | 54 | 38.3 ± 11.2 | LC-MS/MS | 28.1 ± 10.2 | NG | 0.8 | NG | NG | NG | NG |
Alyasin, S.2011 [24] | Iran | cross-sectional | 50 | 9.31 ± 2.67 | RIA | 49.29 ± 21.44 | NG | 0.564 | NG | NG | 0.561 | NG |
Chinellato, I.2011(a) [25] | Italy | cross-sectional | 75 | 9.6 ± 1.7 | CLIA | NG | 0.16 | NG | 0.25 | NG | −0.15 | 0.28 |
Chinellato, I.2011(b) [26] | Italy | cross-sectional | 45 | 10 (9–11) | RIA | 19.7 ± 5.778 | NG | 0.32 | 0.34 | NG | NG | NG |
Li,F2011 [27] | Chinese | cross-sectional | 435 | 42.6 ± 1.6 | ELISA | Median 30.53 | 0.12 | NG | NG | NG | NG | NG |
Gupta, A. 2012 [28] | UK | cross-sectional | 86 | 11.7 | HPLC | 34.08 ± 19.8 | NG | 0.43 | 0.32 | NG | NG | 0.6 |
Korn,S.2013 [29] | Germany | cross-sectional | 280 | 45.0 ± 13.8 | RIA | 25.6 ± 11.8 | 0.235 | NG | NG | NG | NG | NG |
Krobtrakulchai,W.2013 [30] | Thailand | cross-sectional | 125 | 10.8 ± 3.0 | ECLIA | 27.8 ± 8.6 | NG | 0.09 | −0.007 | NG | 0.124 | NG |
Montero-Arias, F.2013 [31] | USA | cross-sectional | 121 | 48.1 ± 15.7 | ELISA | NG | NG | 0.173 | NG | NG | NG | NG |
Awasthi,S.2014 [32] | India | case–control | 20 | 5–15 y | ELISA | 20.84 ± 7.99 | 0.853 | NG | NG | NG | NG | NG |
Columbo, M.2014 [33] | USA | cross-sectional | 28 | 72.6 ± 5.8 | NG | 24.3 ± 9.2 | 0.34 | NG | NG | NG | 0.11 | NG |
Dogru, M.2014 [34] | Turkey | case-control | 120 | 4.4 ± 1.2 years | LC-MS | 21.49 ± 7.74 | NG | NG | NG | NG | NG | NG |
Samrah, S.2014 [35] | Jordan | case–control | 68 | 41 ± 13.7 | HPLC | 8.3 ± 3.2 | NG | NG | NG | NG | NG | 0.3 |
Aldubi, H. M.2015 [36] | Saudi | cross-sectional | 45 | 9.2 ± 1.1 | ECLIA | 11.1 ± 5.75 | NG | NG | NG | NG | NG | 0.956 |
Tamasauskiene,L.2015 [37] | UK | case-control | 85 | 46.41 ± 1.54 | ELISA | 14.36 ± 0.57 | NG | −0.06 | −0.01 | NG | 0.72 | NG |
Boonpiyathad,T.2016 [38] | Tailand | cross-sectional | 47 | 63.48 ± 11.79 | HPLC | 23.84 ± 8.89 | NG | NG | NG | NG | NG | 0.3 |
Havan, M.2017 [39] | Turkey | cross-sectional | 38 | 10.28 ± 2.70 | CLIA | 14.44 ± 6.203 | NG | 0.122 | NG | NG | 0.633 | NG |
Havan, M.2017 [39] | Turkey | cross-sectional | 20 | 10.28 ± 2.70 | CLIA | 14.44 ± 6.203 | NG | 0.136 | NG | NG | 0.136 | NG |
Havan, M.2017 [39] | Turkey | cross-sectional | 14 | 10.28 ± 2.70 | CLIA | 14.44 ± 6.203 | NG | 0.167 | NG | NG | 0.549 | NG |
Janeva-Jovanovska,E.2017 [40] | Macedonia | cross-sectional | 30 | NG | ELISA | 15.260 ± 5.808 | NG | −0.1005 | NG | NG | NG | NG |
Ozdogan, S. 2017 [41] | Turkey | cross-sectional | 71 | 11.97 ± 1.93 | LC-MS/MS | 11.8 ± 10.3 | − 0.184 | −0.17 | − 0.05 | 0.01 | − 0.22 | NG |
Bai,Y.J2018 [42] | China | case-control | 117 | 8.52 ± 2.37 | CLIA | 6.9 ± 1.77 | 0.79 | NG | 0.77 | NG | 0.7 | NG |
Batmaz,S.B.2018 [43] | Turkey | cohort | 30 | 11.74 ± 2.4 | HPLC | 25.74 ± 9.06 | 0.483 | NG | NG | NG | NG | 0.498 |
Kang, Q.2018 [6] | China | case-control | 96 | 6.56 ± 1.38 | ELISA | 18.89 ± 3.63 | NG | −0.568 | 0.601 | NG | 0.345 | NG |
Reinehr, T.2018 [44] | Germany | cross-sectional | 36 | 9.3 ± 1.7 | CLIA | 20.6 ± 9.1 | 0.001 | NG | NG | NG | NG | NG |