Talk:Embryology Statistics

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Finland

Finnish developmental biology - Sulo Toivonen, Lauri Saxén, Jorma Wartiovaara, Tapani Vainio and Anto Leikola collected water lizard eggs in Kallvik in the early 1960's to study the development of their embryos.

Korea

Prevalence of birth defects in korean livebirths, 2005-2006

J Korean Med Sci. 2012 Oct;27(10):1233-40. doi: 10.3346/jkms.2012.27.10.1233. Epub 2012 Oct 2.

Kim MA, Yee NH, Choi JS, Choi JY, Seo K. Source Department of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Abstract

We investigated the livebirths prevalence and occurrence pattern of birth defects in Korea. After the survey on birth defects was done in 2,348 medical institutions around the nation, the birth defect prevalence of livebirths in 2005-2006 was calculated. This study was based on the medical insurance claims database of the National Health Insurance Corporation. The number of livebirths in Korea was 883,184 from 2005-2006, and 25,335 cases of birth defects were notified to our study, equivalent to a prevalence of 286.9 per 10,000 livebirths. Anomalies of the circulatory system were the most common defects, accounting for 43.4% of birth defects with a prevalence of 124.5 per 10,000 livebirths. It was followed by the musculoskeletal system anomalies, the digestive system anomalies, and the urinary system anomalies. The five major birth defects based on the ranking of prevalence were atrial septal defect, ventricular septal defect, hydronephrosis, patent ductus arteriosus, and cleft lip/palate. Birth defects in livebirths were associated with a high proportion of low birthweight, prematurity, multiple births and advanced maternal age. The prevalence of birth defects in Korea is similar to or lower than those reported in developed countries. Our study suggests baseline data to explain the current status of birth defects and to establish a registry system of birth defects in Korea.

PMID 23091323



(July 1998 est.)
Australia
United States
United Kingdom
Germany
China
India

Population

18,613,087

270,311,756

58,970,119

82,079,454

1,236,914,658

984,003,683

Age structure

0-14 years:

21%

22%

19%

16%

26%

34%

15-64 years:

66%

66%

65%

68%

68%

61%

65 years +:

13%

12%

16%

16%

6%

5%

Population growth rate

0.93%

0.87%

0.25%

0.02%

0.83%

1.71%

Birth rate
births/1,000 population

13.47

14.4

12.01

8.84

15.73

25.91

Death rate
deaths/1,000 population

6.89

8.8

10.72

10.77

6.99

8.69

Sex ratio (male(s)/female)

at birth:

1.06

1.05

1.05

2.08

1.15

1.05

under 15 years:

1.05

1.05

1.05

1.06

1.13

1.06

15-64 years:

1.02

0.99

1.01

1.05

1.07

1.08

65 years +:

0.77

0.7

0.7

0.59

0.88

1.04

Infant mortality rate
(deaths/1,000 live births)

5.26

6.44

5.87

5.2

45.46

63.14

Life expectancy at birth (years)

total population:

79.89

76.13

77.19

76.99

69.59

62.9

male:

76.95

72.85

74.57

73.83

68.32

62.11

female:

82.98

79.58

79.96

80.33

71.06

63.73

Total fertility rate (children born/woman)

1.82

2.07

1.7

1.25

1.8

3.24

World Population (version 1)

Rank Country Population
1 China 1,336,718,015
2 India 1,189,172,906
3 United States 313,232,044
4 Indonesia 245,613,043
5 Brazil 203,429,773
6 Pakistan 187,342,721
7 Bangladesh 158,570,535
8 Nigeria 155,215,573
9 Russia 138,739,892
10 Japan 126,475,664
11 Mexico 113,724,226
12 Philippines 101,833,938
13 Ethiopia 90,873,739
14 Vietnam 90,549,390
15 Egypt 82,079,636
16 Germany 81,471,834
17 Turkey 78,785,548
18 Iran 77,891,220
19 Congo, Democratic Republic of the 71,712,867
20 Thailand 66,720,153
21 France 65,312,249
22 United Kingdom 62,698,362
23 Italy 61,016,804
24 Burma 53,999,804
25 South Africa 49,004,031
26 Korea, South 48,754,657
27 Spain 46,754,784
28 Ukraine 45,134,707
29 Sudan 45,047,502
30 Colombia 44,725,543
31 Tanzania 42,746,620
32 Argentina 41,769,726
33 Kenya 41,070,934
34 Poland 38,441,588
35 Algeria 34,994,937
36 Uganda 34,612,250
37 Canada 34,030,589
38 Morocco 31,968,361
39 Iraq 30,399,572
40 Afghanistan 29,835,392
41 Nepal 29,391,883
42 Peru 29,248,943
43 Malaysia 28,728,607
44 Uzbekistan 28,128,600
45 Venezuela 27,635,743
46 Saudi Arabia 26,131,703
47 Ghana 24,791,073
48 Korea, North 24,457,492
49 Yemen 24,133,492
50 Taiwan 23,071,779
51 Mozambique 22,948,858
52 Syria 22,517,750
53 Madagascar 21,926,221
54 Romania 21,904,551
55 Australia 21,766,711
56 Cote d'Ivoire 21,504,162
57 Sri Lanka 21,283,913
58 Cameroon 19,711,291
59 Chile 16,888,760
60 Netherlands 16,847,007
61 Burkina Faso 16,751,455
62 Niger 16,468,886
63 Malawi 15,879,252
64 Kazakhstan 15,522,373
65 Ecuador 15,007,343
66 Cambodia 14,701,717
67 Mali 14,159,904
68 Zambia 13,881,336
69 Guatemala 13,824,463
70 Angola 13,338,541
71 Senegal 12,643,799
72 Zimbabwe 12,084,304
73 Rwanda 11,370,425
74 Cuba 11,087,330
75 Portugal 10,760,305
76 Greece 10,760,136
77 Chad 10,758,945
78 Tunisia 10,629,186
79 Guinea 10,601,009
80 Belgium 10,431,477
81 Burundi 10,216,190
82 Czech Republic 10,190,213
83 Bolivia 10,118,683
84 Hungary 9,976,062
85 Dominican Republic 9,956,648
86 Somalia 9,925,640
87 Haiti 9,719,932
88 Belarus 9,577,552
89 Benin 9,325,032
90 Sweden 9,088,728
91 Azerbaijan 8,372,373
92 Austria 8,217,280
93 Honduras 8,143,564
94 Switzerland 7,639,961
95 Tajikistan 7,627,200
96 Israel 7,473,052
97 Serbia 7,310,555
98 Hong Kong 7,122,508
99 Bulgaria 7,093,635
100 Togo 6,771,993
101 Libya 6,597,960
102 Jordan 6,508,271
103 Laos 6,477,211
104 Paraguay 6,459,058
105 Papua New Guinea 6,187,591
106 El Salvador 6,071,774
107 Eritrea 5,939,484
108 Nicaragua 5,666,301
109 Kyrgyzstan 5,587,443
110 Denmark 5,529,888
111 Slovakia 5,477,038
112 Sierra Leone 5,363,669
113 Finland 5,259,250
114 United Arab Emirates 5,148,664
115 Turkmenistan 4,997,503
116 Central African Republic 4,950,027
117 Singapore 4,740,737
118 Norway 4,691,849
119 Ireland 4,670,976
120 Bosnia and Herzegovina 4,622,163
121 Georgia 4,585,874
122 Costa Rica 4,576,562
123 Croatia 4,483,804
124 Moldova 4,314,377
125 New Zealand 4,290,347
126 Congo, Republic of the 4,243,929
127 Lebanon 4,143,101
128 Puerto Rico 3,989,133
129 Liberia 3,786,764
130 Lithuania 3,535,547
131 Panama 3,460,462
132 Uruguay 3,308,535
133 Mauritania 3,281,634
134 Mongolia 3,133,318
135 Oman 3,027,959
136 Albania 2,994,667
137 Armenia 2,967,975
138 Jamaica 2,868,380
139 Kuwait 2,595,628
140 West Bank 2,568,555
141 Latvia 2,204,708
142 Namibia 2,147,585
143 Macedonia 2,077,328
144 Botswana 2,065,398
145 Slovenia 2,000,092
146 Lesotho 1,924,886
147 Kosovo 1,825,632
148 Gambia, The 1,797,860
149 Gaza Strip 1,657,155
150 Guinea-Bissau 1,596,677
151 Gabon 1,576,665
152 Swaziland 1,370,424
153 Mauritius 1,303,717
154 Estonia 1,282,963
155 Trinidad and Tobago 1,227,505
156 Bahrain 1,214,705
157 Timor-Leste 1,177,834
158 Cyprus 1,120,489
159 Fiji 883,125
160 Qatar 848,016
161 Comoros 794,683
162 Djibouti 757,074
163 Guyana 744,768
164 Bhutan 708,427
165 Equatorial Guinea 668,225
166 Montenegro 661,807
167 Macau 573,003
168 Solomon Islands 571,890
169 Cape Verde 516,100
170 Western Sahara 507,160
171 Luxembourg 503,302
172 Suriname 491,989
173 Malta 408,333
174 Brunei 401,890
175 Maldives 394,999
176 Belize 321,115
177 Bahamas, The 313,312
178 Iceland 311,058
179 French Polynesia 294,935
180 Barbados 286,705
181 New Caledonia 256,275
182 Vanuatu 224,564
183 Samoa 193,161
184 Sao Tome and Principe 179,506
185 Saint Lucia 161,557
186 Curacao 142,180
187 Virgin Islands 109,666
188 Grenada 108,419
189 Micronesia, Federated States of 106,836
190 Aruba 106,113
191 Tonga 105,916
192 Saint Vincent and the Grenadines 103,869
193 Kiribati 100,743
194 Jersey 94,161
195 Seychelles 89,188
196 Antigua and Barbuda 87,884
197 Andorra 84,825
198 Isle of Man 84,655
199 Dominica 72,969
200 Bermuda 68,679
201 American Samoa 67,242
202 Marshall Islands 67,182
203 Guernsey 65,068
204 Greenland 57,670
205 Cayman Islands 51,384
206 Saint Kitts and Nevis 50,314
207 Faroe Islands 49,267
208 Northern Mariana Islands 46,050
209 Turks and Caicos Islands 44,819
210 Sint Maarten 37,429
211 Liechtenstein 35,236
212 San Marino 31,817
213 Saint Martin 30,615
214 Monaco 30,539
215 Gibraltar 28,956
216 British Virgin Islands 25,383
217 Palau 20,956
218 Akrotiri 15,700
219 Dhekelia 15,700
220 Wallis and Futuna 15,398
221 Anguilla 15,094
222 Cook Islands 11,124
223 Tuvalu 10,544
224 Nauru 9,322
225 Saint Helena, Ascension, and Tristan da Cunha 7,700
226 Saint Barthelemy 7,367
227 Saint Pierre and Miquelon 5,888
228 Montserrat 5,140
229 Falkland Islands (Islas Malvinas) 3,140
230 Norfolk Island 2,169
231 Svalbard 2,019
232 Christmas Island 1,402
233 Tokelau 1,384
234 Niue 1,311
235 Holy See (Vatican City) 832
236 Cocos (Keeling) Islands 596
237 Pitcairn Islands 48

Terms

  • absolute risk - measures the probability of an event or outcome occurring in the study group, comparison of two or more groups can use the term absolute risk reduction.
  • absolute risk reduction - difference in the risk of an event occurring between two groups in a study.
  • applicability - extent the results of a study or review can be applied to the target population for a clinical guideline.
  • bias - influences on a study that can lead to invalid conclusions about a treatment or intervention.
  • blinding or masking - The practice of keeping the investigators or subjects of a study ignorant of the group to which a subject has been assigned.
  • causal relationship - describes the relationship between two variables whenever it can be established that one causes the other.
  • Cochrane Collaboration - international organisation that find, appraise and review randomised controlled trials. The Cochrane Database of Systematic Reviews contains regularly updated reviews on a variety of health issues and is available electronically as part of the Cochrane Library.
  • Cochrane Library - a regularly updated collection of evidence-based medicine databases including the Cochrane Database of Systematic Reviews (reviews of randomised controlled trials prepared by the Cochrane Collaboration).
  • cohort study - group (cohort) of patients progress over time in order to measure outcomes such as disease or mortality rates and make comparisons according to the treatments or interventions that patients received.
  • co-morbidity - co-existence of a disease or diseases in the people being studied in addition to the health problem that is the subject of the study.
  • confidence interval - expressing certainty about the findings from a study using statistical techniques.
  • control group - group recruited into a study that receives no treatment, a treatment of known effect, or a placebo (dummy treatment).
  • double blind study - neither the subject (patient) nor the observer (investigator/clinician) is aware of which treatment or intervention the subject is receiving. The purpose of blinding is to protect against bias.
  • efficacy - extent to which a specific treatment or intervention, under ideally controlled conditions has a beneficial effect on the course or outcome of disease compared to no treatment or other routine care.
  • elective - clinical procedures that are regarded as advantageous to the patient but not urgent.
  • epidemiology - study of diseases within a population, covering the causes and means of prevention.
  • extrapolation - application of research evidence based on studies of a specific population to another population with similar characteristics.
  • gold standard - procedure, measurement or method that is widely accepted as being the best available.
  • guideline - systematically developed tool (recommendation) which describes aspects of a patient’s condition and the care to be given.
  • internal validity - the integrity of a study design.
  • meta analysis - a collection of independent studies are pooled, using statistical techniques to synthesise their findings into a single estimate of an effect.
  • odds ratio - a way of representing probability, have become widely used in reports of clinical studies.
  • outcome - end result of care and treatment and/ or rehabilitation, outcomes to measure should be determined before a study begins.
  • peer review - review by those with similar interests and expertise to the people who produced the study findings or recommendations.
  • prospective study - when subjects are followed up over a period of time with future events recorded as they happen. This contrasts with studies that are retrospective.
  • P value - probability of whether an effect can be regarded as statistically significant or not, by convention where the value of p is below 0.05 (less than 5%) the result is seen as statistically significant.
  • qualitative research - generates non-numerical data, used in focus groups and in depth interviews.
  • quantitative research - generates numerical data or data that can be converted into numbers, as in clinical trials.
  • randomised controlled trial - study where people are randomly assigned to the experimental or control group.
  • relative risk - (risk ratio) represents the ratio of the risk of a given event or outcome in one group of compared to another group.
  • reliability - method of measurement that consistently gives the same results.
  • retrospective study - deals with the present/ past and does not involve studying future events, contrasts with studies that are prospective.
  • risk ratio - risk of an undesirable outcome occurring in experimental group compared with a comparison (control) group. Relative risk is sometimes used as a synonym of risk ratio.
  • sample - subjects selected from a target population for study recruitment. Sampling refers to the way participants are selected for inclusion in a study.
  • selection bias - characteristics of sample differ from those of the wider population from which the sample has been drawn or the systematic differences between comparison groups in terms of prognosis or responsiveness to treatment.
  • statistical power - ability to demonstrate an association or causal relationship between two variables, given that an association exists.
  • survey - study in which information is systematically collected from people (usually from a sample within a defined population).
  • systematic review - evidence from scientific studies has been identified, appraised and synthesised in a methodical way according to predetermined criteria.
  • target population - people to whom recommendations are intended to apply based on age, disease state, and or social background.
  • validity - assessing how well a tool or instrument measures what it is intended to measure.