Table 1 Characteristic of included studies prevalence of tooth decay
Author, year, Reference | Age (years) | Country | Sample size | Prevalence % | Quality |
|---|---|---|---|---|---|
Kalantari, 2014, [11] | 6–7 | Iran | 400 | 63.5 | High |
Abedini, 2013, [12] | 2–6 | Iran | 310 | 48.7 | High |
Hematyar, 2009, [13] | 3–7 | Iran | 200 | 63.5 | High |
Nabipour, 2013, [14] | 3–6 | Iran | 838 | 71.8 | High |
Pahlavani, 2008, [15] | 2–6 | Iran | 414 | 61.6 | High |
Amiri, 2017, [16] | 4–6 | Iran | 359 | 87.7 | High |
Ajami, 2005, [17] | 6–7 | Iran | 1938 | 76.5 | High |
Javadinezhad, 2008, [18] | 40.5 Month | Iran | 100 | 77.0 | High |
Karimi, 2012, [19] | 2–5 | Iran | 211 | 82.9 | High |
Amanlou, 2011, [20] | 3–6 | Iran | 205 | 49.3 | High |
Toutouni, 2015, [21] | 2–3 | Iran | 239 | 61.1 | High |
Bagherian, 2013, [22] | 2–5 | Iran | 400 | 51.3 | Medium |
Mohebbi, 2006, [23] | 1–3 | Iran | 504 | 32.9 | High |
Ramos-Gomez, 1995, [24] | <6 | USA | 220 | 30.0 | High |
Rosenblatt, 2002, [25] | 1–3 | USA | 468 | 28.4 | High |
Rajab, 2001, [26] | 1–5 | Jordan | 384 | 47.9 | High |
Douglass, 1999, [27] | 3–4 | USA | 517 | 37.9 | High |
Hallett, 1998, [28] | 4–6 | Australia | 3375 | 37.6 | High |
Sayegh, 2002, [29] | 4–5 | Jordan | 1140 | 67.0 | Medium |
Hallett, 2003, [30] | 4–5 | Australia | 2474 | 37.6 | High |
Peressini, 2000, [31] | 3–5 | Canada | 87 | 19.5 | High |
Chadwick, 2005, [32] | 2–5 | UK | 449 | 24.1 | High |
Schroth, 2015, [33] | <6 | Canada | 408 | 53.7 | High |
Tsai, 1997, [34] | <6 | Taiwan | 951 | 55.9 | Medium |
Mahejabeen, 2006, [35] | 3–5 | India | 1500 | 54.1 | Medium |
Du, 2002, [36] | 3–5 | China | 2014 | 55.3 | High |
Ferro, 2005, [37] | 3–5 | Italy | 4198 | 25.0 | High |
Schroth, 2004, [38] | 1–5 | USA | 834 | 71.0 | Medium |
Wyne, 2008, [39] | 3–5 | Saludi Arabia | 789 | 74.8 | High |
Lawrence, 2004, [40] | 1–5 | Canada | 1275 | 72.7 | High |
Vazquez-Nava, 2005, [41] | 4–5 | Mexico | 1160 | 17.9 | High |
Jigjid, 2005, [42] | 1–5 | Japan | 670 | 71.9 | High |
Senesombath, 2010, [43] | 36–47 Month | Thailand | 400 | 82.0 | Medium |
Slabsinskiene, 2003, [44] | 3 | Lithuania | 950 | 50.6 | High |
Zhou, 2010, [45] | 32 Month | China | 155 | 28.4 | High |
Rajshekar, 2005, [46] | 1–6 | India | 500 | 43.4 | Medium |
Ozer, 2011, [47] | 3–6 | Turkey | 226 | 49.6 | High |
Li, 2011, [48] | 36–70 Month | China | 1523 | 56.8 | High |
Kumarihamy, 2011, [49] | 1–2 | Sri Lanka | 410 | 32.2 | High |
Prakash, 2012, [50] | 8–48 Month | India | 1500 | 27.5 | Medium |
Singh, 2012, [51] | 36–60 Month | India | 717 | 40.0 | High |
Perera, 2010, [52] | 24–71 Month | Sri Lanka | 410 | 32.2 | Medium |
Phipps, 2011, [53] | 12–71 Month | India | 8461 | 62.3 | High |
Parisotto, 2012, [54] | 36–59 Month | Brazil | 351 | 39.9 | High |
Zhang, 2012, [55] | 5 | China | 723 | 84.9 | High |
Tanaka, 2007, [56] | 3 | Japan | 2055 | 20.7 | Medium |
Colombo, 2019, [57] | 48–71 Month | Italy | 2522 | 38.0 | Medium |
Agouropoulos-1, 2019, [58] | <7 | USA | 175 | 92.6 | High |
Agouropoulos-2, 2019, [58] | <7 | USA | 175 | 53.7 | High |
Agouropoulos-3, 2019, [58] | <7 | USA | 175 | 36.0 | High |
Musinguzi, 2019, [59] | 3–5 | Kenya | 432 | 48.1 | High |
Montes, 2019, [60] | 5–7 | Brazil | 415 | 42.9 | Medium |
Boustedt, 2019, [61] | 5 | Sweden | 336 | 13.1 | High |
Tonpe-1, 2019, [62] | 3–5 | India | 358 | 2.8 | High |
Tonpe-2, 2019, [62] | 3–5 | India | 358 | 4.2 | High |
Wang, 2019, [63] | 6 | China | 4936 | 87.7 | High |
Nomura, 2019, [64] | 5–6 | Myanmar | 187 | 81.3 | Medium |
Wu, 2019, [65] | 5–6 | China | 1350 | 51.4 | High |
Abbass, 2019, [66] | 5–6 | Egypt | 369 | 4.3 | Medium |
Goenka, 2018, [67] | 5–7 | India | 312 | 65.1 | High |
Chugh, 2018, [68] | 24–61 Month | India | 425 | 47.3 | High |
Vandana, 2018, [69] | 2–6 | India | 550 | 38.2 | High |
Igic, 2018, [70] | 3–6 | Serbia | 250 | 38.4 | High |
Kato, 2017, [71] | 3 | Japan | 6315 | 36.0 | High |
Li, 2017, [72] | 3–5 | China | 1727 | 78.2 | High |
Mangla, 2017, [73] | 1–3 | India | 510 | 21.0 | High |
Owen, 2017, [74] | 3–5 | Australia | 623 | 14.1 | High |
Pal, 2017, [75] | 5–6 | India | 408 | 46.6 | High |
Wagne, 2017, [76] | 6.7 | Germany | 512 | 1.8 | High |
Shah, 2017, [77] | 5–7 | India | 829 | 33.2 | Medium |
Yuan, 2017, [78] | 3 | China | 959 | 28.1 | High |
Jiang, 2017, [79] | 2–5 | China | 1509 | 71.4 | High |
Massignan, 2016, [80] | 3.7 | Brazil | 565 | 39.1 | High |
Koya, 2016, [81] | 24–71 Month | India | 1897 | 42.0 | High |
Mothupi, 2016, [82] | 4.8 | Africa | 495 | 48.9 | High |
Alkhtib, 2016, [83] | 4–5 | Qatari | 250 | 89.2 | High |
Henry, 2016, [84] | <3 | India | 1486 | 40.6 | High |
Šačić, 2016, [85] | 3–5 | Bosnia and Herzegovina | 165 | 17.0 | Medium |
Al-Meedani, 2016, [86] | 3–5 | Saludi Arabia | 388 | 69.1 | High |
Elidrissi, 2016, [87] | 3–5 | Sudan | 553 | 52.4 | Medium |
Gopal, 2016, [88] | 3–6 | India | 477 | 27.3 | High |