| Literature DB >> 21288337 |
Mange Manyama1, Campbell Rolian, Japhet Gilyoma, Cassian C Magori, Kilalo Mjema, Erick Mazyala, Emmanuel Kimwaga, Benedikt Hallgrimsson.
Abstract
BACKGROUND: Clefts of the lip (CL), the palate (CP), or both (CLP) are the most common orofacial congenital malformations found among live births, accounting for 65% of all head and neck anomalies. The frequency and pattern of orofacial clefts in different parts of the world and among different human groups varies widely. Generally, populations of Asian or Native American origin have the highest prevalence, while Caucasian populations show intermediate prevalence and African populations the lowest. To date, little is known regarding the epidemiology and pattern of orofacial clefts in Tanzania.Entities:
Mesh:
Year: 2011 PMID: 21288337 PMCID: PMC3039542 DOI: 10.1186/1472-6831-11-5
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Incidence and distribution of orofacial clefts among different populations
| Population | Prevalence | Frequency (%) | Frequency of associated congenital anomalies | ||
|---|---|---|---|---|---|
| CL | CP | CLP | |||
| Europe | |||||
| Scotland [ | 1.53 | 17.8 | 51.4 | 30.8 | 32.9 |
| Sweden [ | 1.70 | 26.5 | 38.8 | 34.7 | 21.0 |
| EUROCAT [ | 1.52 | 22.1 | 39.5 | 38.4 | 36.5 |
| Asia | |||||
| Japan [ | 1.44 | 32.1 | 24.8 | 43.2 | 21.1 |
| China [ | 1.66 | 31.4 | 15.4 | 53.2 | 14.4 |
| Pakistan [ | 1.91 | 41.9 | 23.9 | 34.2 | 17.9 |
| Africa | |||||
| Zambia [ | 0.24 | 58.3 | 3.9 | 37.8 | n/a |
| Nigeria [ | 0.37 | 49.2 | 18.9 | 31.9 | 18 |
| Kenya [ | n/a | 30.6 | 8.5 | 60.9 | 8.2 |
Distribution of orofacial clefts according to type, sex, laterality, region of origin and deviations from expected frequencies
| Parameter | n (%) | Type of Cleft | |||
|---|---|---|---|---|---|
| CL (%) | CP (%) | CLP (%) | X2 (p) | ||
| 240(100) | 240(100) | 28(11.7) | 94(39.1) | ||
| Male | 127(52.9) | 56(47.5) | 16(57.1) | 55(58.5) | |
| Female | 113(47.1) | 62(52.5) | 12(42.9) | 39(41.5) | 2.76(0.247) |
| Right | 69(28.8) | 37(31.5) | 6(20.7) | 26(27.9) | |
| Left | 105(43.7) | 62(52.5) | 6(20.7) | 37(39.8) | |
| Midline | 22(9.2) | 2(1.6) | 16(55.2) | 4(4.4) | |
| Bilateral | 44(18.3) | 17(14.4) | 1(3.4) | 26(27.9) | 92.4(p < 0.001) |
| Mwanza | 127(52.9) | ||||
| Mara | 42(17.5) | ||||
| Shinyanga | 25(10.4) | ||||
| Kagera | 17(7.1) | ||||
| Kigoma | 13(5.4) | ||||
| Tabora | 11(4.6) | ||||
| Singida | 5(2.1) | ||||
Distribution of clefts by type in small-scale, hospital/clinic-based epidemiological studies in African and other low- and middle income countries.
| Total Cases | CL(%) | CP(%) | CLP(%) | X2 | P | |
|---|---|---|---|---|---|---|
| Tanzania (this study) | 240 | 49.2 | 11.7 | 39.2 | 1.92 | - |
| Kenya [ | 68 | 51.5 | 5.9 | 42.6 | 6.97 | 0.03 |
| Kenya [ | 368 | 52.7 | 5.7 | 41.6 | 1.24 | ns |
| Uganda [ | 47 | 40.4 | 12.8 | 46.8 | 2.47 | ns |
| Nigeria [ | 93 | 39.8 | 15.1 | 45.2 | 6.85 | 0.03 |
| Nigeria [ | 360 | 49.2 | 18.9 | 31.9 | 13.81 | < 0.005 |
| Zambia [ | 331 | 58.3 | 3.9 | 37.8 | 1.74 | ns |
| Zimbabwe [ | 57 | 42.1 | 17.5 | 40.4 | ||
| China [ | 637 | 26.2 | 15.1 | 58.7 | 42.21 | < 0.001 |
| Iran [ | 119 | 29.4 | 25.2 | 45.4 | 17.06 | < 0.001 |
| Pakistan [ | 117 | 41.9 | 23.9 | 34.2 | 8.96 | 0.01 |
| Thailand [ | 153 | 23.5 | 20.9 | 55.6 | 26.41 | < 0.001 |
| Brazil [ | 154 | 33.1 | 14.3 | 52.6 | 9.95 | < 0.01 |