Abstract
Background: Diabetes is referred to a group of diseases characterized by high glucose levels in blood. It is caused by a deficiency in the production or function of insulin or both, which can occur because of different reasons, resulting in protein and lipid metabolic disorders. The aim of this study was to systematically review the prevalence and incidence of type 1 diabetes in the world.
Methods: A systematic search of resources was conducted to investigate the prevalence and incidence of type 1 diabetes in the world. The databases of Medline (via PubMed and Ovid),ProQuest, Scopus, and Web of Science from January 1980 to September 2019 were searched to locate English articles. The located articles were screened in multiple levels of title, abstract,and full-text and final studies that met the inclusion criteria were retrieved and included in the study.
Results: From 1202 located articles, 193 studies were included in this systematic review. The results of meta-analysis showed that the incidence of type 1 diabetes was 15 per 100,000 people and the prevalence was 9.5% (95% CI: 0.07 to 0.12) in the world, which was statistically significant.
Conclusion: According to the results, the incidence and prevalence of type 1 diabetes are increasing in the world. As a result, insulin will be difficult to access and afford, especially in underdeveloped and developing countries.
Keywords: Diabetes mellitus, Incidence, Prevalence, Systematic review, Type 1, World
Introduction
Diabetes is referred to a group of diseases characterized by high glucose levels in blood. It is caused by a deficiency in the production or function of insulin or both, which can occur because of different reasons, resulting in protein and lipid metabolic disorders.1 The long-term effects of hypoglycemia are tissue and organ damage.2
Symptoms of diabetes include polyuria, thirst, vision disorders, and weight loss. In some cases there are more severe forms of diabetic ketoacidosis and hyperosmolar that may lead to stupor and coma. But most symptoms are not severe, which may cause damage or even failure of different organs in the long run and lead to irreparable injuries such as blindness, amputation, stroke and eventually death. Previously, type 1 diabetes was called insulin-dependent diabetes and it could happen at any age but is most common in children and young people.3
People with type 1 diabetes are not able to produce enough insulin. This type constitutes about 5%–10% of all cases of diabetes. In this type, the cellular destruction of beta cells occurs in the pancreas. In type 1 diabetes, the pancreas does not release any insulin. Since there is no epidemiologically accurate information on the prevalence and incidence of type 1 diabetes in the world and in the region, therefore, the present study was designed and implemented as a systematic review and meta-analysis, because of geopolitical map of the policy on the prevention and treatment of this disease can be done better.
Materials and Methods
In this systematic review and meta-analysis, a systematic search of resources was conducted by a librarian (N.V.) to investigate the prevalence and incidence of type 1 diabetes (condition) in the people (population) of the world (context). The PICO of study based on the JBI protocol as CoCoPop for prevalence and incidence studies.
Data sources and search strategy
The databases of Medline via (PubMed, Ovid), Embase, Scopus, Web of Science from January 1980 to September 2019 were searched to locate English articles. Also, SID, Magiran, and Barakat databases were searched for Persian studies. The grey literature and ongoing studies were searched using the following: OpenGrey, Google Scholar and for thesis and dissertations ProQuest and studies presented at conferences were also searched. Also, experts and professionals on this subject were reached and their opinions were gathered for information on published and unpublished studies. The search was performed using MESH and free keywords. The keywords selected for the search were: “type 1 diabetes”, “prevalence”, and “incidence” with this search strategy: (((“Diabetes Mellitus, Type 1”[Mesh]) OR ((((((((((((((((((((IDDM[Title/Abstract]) OR T1DM[Title/Abstract]) OR “Type 1 Diabetes”[Title/Abstract]) OR “Autoimmune Diabetes”[Title/Abstract]) OR “Juvenile Onset Diabetes”[Title/Abstract]) OR “Juvenile-Onset Diabetes”[Title/Abstract]) OR “Brittle Diabetes Mellitus”[Title/Abstract]) OR “brittle diabetes”[Title/Abstract]) OR “diabetes mellitus type 1”[Title/Abstract]) OR “diabetes mellitus type I”[Title/Abstract]) OR “diabetes type 1”[Title/Abstract]) OR “diabetes type I”[Title/Abstract]) OR “early onset diabetes mellitus”[Title/Abstract]) OR “insulin dependent diabetes”[Title/Abstract]) OR “juvenile diabetes”[Title/Abstract]) OR “juvenile diabetes mellitus”[Title/Abstract]) OR “type I diabetes”[Title/Abstract]) OR “type I diabetes mellitus”[Title/Abstract]) OR “Insulin Dependent Diabetes Mellitus”[Title/Abstract]) OR “Insulin-Dependent Diabetes Mellitus”[Title/Abstract]))) AND ((((“Prevalence”[Mesh]) OR ((Prevalence[Title/Abstract]) OR Prevalences[Title/Abstract]))) OR ((“Incidence”[Mesh]) OR ((Incidence[Title/Abstract]) OR Incidences[Title/Abstract]))). The complete search strategy of Medline and Embase is in Supplementary file 1.
Inclusion and exclusion criteria
Inclusioncriteria for selecting studies include: 1. Articles published between 1980 and 2019; 2. Articles published in English and Persian. The exclusion criteria were: 1. Studies with no reported sample size; 2. Studies that had low quality; 3. Studies that were published before 1990.
Study selection
The located articles were screened in multiple levels of title, abstract, and full-text and final studies that met the inclusion criteria were retrieved and included in the study. The studies were critically appraised by 2 subject specialists and low-quality studies were excluded. In cases of disagreements between two experts (M.M. and M.S.) at each stage of selection and appraisal, third person opinion was used.
Quality appraisal
Articles were evaluated using the STROBE checklist. In this checklist, the minimum score was 2 and the maximum was 4. Finally, articles that received a score of 4 on checklist questions were included in the research, 128 articles earned 4 score, 46 articles earned 3 score and 19 articles earned 2 score and finally their data were extracted to perform the meta-analysis.
Data extraction and quality assessment
The information extracted from the articles were entered in the extraction form. Extracted data included: first author, year of publication, country of study, sample size, and incidence of diabetes in the studies.
Statistical analysis
Statistical analysis was performed using CMA v.2.0 software and P value less than 0.05 was considered as significant. The binomial distribution was used to calculate the variance. Weighted mean was used to combine the prevalence rate of different studies. Meta-analysis was used to obtain the incidence of type 1 diabetes. The heterogeneity between studies was assessed by Cochran (Q) and I2 statistics, which expressed the percentage of variation between studies. Random effects model was used to calculate the overall and pooled effect size.
Results
Search results and study characteristics
In a systematic search of sources, 65 765 articles were identified. A total of 58 239 articles were duplicates, and 7107 were excluded after reviewing the title and abstract of the articles. After reviewing the full-text articles, 49 articles were excluded. Finally, 193 studies were included in the systematic review and meta-analysis. Figure 1 shows the identified and retrieved articles in the study. Tables 1, 2 and 3 show the specifications of the articles that were studied.
Table 1. Characteristics of studies incidence of type 1 diabetes .
Study | Year | Country | Continent | Sample size | Incidence per 10000 |
Abduljabbar et al4 | 2010 | Saudi Arabia | Asia | 1028 | 0.02752 |
Abdul-Rasoul et al5 | 2002 | Kuwait | Asia | 760 | 0.02018 |
Abellana et al6 | 2009 | Spain | Europe | 448 | 0.0118 |
Ajlouni et al7 | 1999 | Jordan | Asia | 123 | 0.0032 |
107 | 0.0028 | ||||
138 | 0.0036 | ||||
Alaghehbandan et al8 | 2006 | Canada | USA | 716 | 0.019 |
Alemu et al9 | 2009 | Ethiopia | Africa | 81 | 0.0021 |
Algert CS et al10 | 2009 | Australia | Asia | 605 | 0.016 |
Altobelli et al11 | 1998 | Italy | Europe | 355 | 0.00934 |
Arpi et al12 | 2002 | Catania | Europe | 470 | 0.01238 |
Aschner et al13 | 2014 | America | USA | 279 | 0.00731 |
Bahíllo et al14 | 2007 | Spain | Europe | 835 | 0.02222 |
Barat et al15 | 2008 | French | Europe | 510 | 0.01347 |
Battelino and Kržišnik16 | 1998 | Slovenia | Europe | 305 | 0.008 |
Berhan et al17 | 2011 | Sweden | Europe | 1612 | 0.0439 |
Bessaoud et al18 | 1990 | Algeria | Africa | 168 | 0.0044 |
Bizzarri et al19 | 2010 | Italy | Europe | 593 | 0.01568 |
Blanchard et al20 | 1997 | Canada | USA | 768 | 0.0204 |
Blumenfeld et al21 | 2014 | Asia | Asia | 433 | 0.0114 |
Bratina et al22 | 2001 | Bosnia and Herzegovina | Europe | 325 | 0.00854 |
Bruno et al23 | 1990 | Italy | Europe | 259 | 0.00678 |
Bruno et al24 | 1993 | Italy | Europe | 256 | 0.0067 |
Bruno et al25 | 1997 | Italy | Europe | 282 | 0.00739 |
Bruno et al26 | 2001 | Italy | Europe | 297 | 0.00778 |
Bruno et al27 | 2009 | Italy | Europe | 354 | 0.0093 |
Bruno et al28 | 2010 | Italy | Europe | 465 | 0.01226 |
Bruno et al29 | 2013 | Italy | Europe | 1644 | 0.0448 |
Calle-Pascual et al30 | 1993 | Spain | Europe | 565 | 0.01493 |
Calori et al31 | 1990 | Italy | Europe | 253 | 0.00663 |
Campbell-Stokes and Taylor32 | 2005 | New Zealand | Europe | 675 | 0.0179 |
Cardwell et al33 | 2006 | Ireland | Europe | 925 | 0.0247 |
Carrasco et al34 | 1996 | Chile | USA | 90 | 0.00236 |
Carrasco et al35 | 2006 | Chile | USA | 251 | 0.00658 |
Carrasco et al36 | 2006 | Chile | USA | 154 | 0.00402 |
Casu et al37 | 2004 | Sardinia | Europe | 1433 | 0.0388 |
Cherubini et al38 | 1994 | Italy | Europe | 309 | 0.0081 |
Chong et al39 | 2007 | Australia | Asia | 731 | 0.0194 |
Cinek et al40 | 2000 | Czech Republic | Europe | 384 | 0.0101 |
Cinek et al41 | 2003 | Czech Republic | Europe | 444 | 0.0117 |
Compés et al42 | 2013 | Spain | Europe | 723 | 0.0192 |
Cotellessa et al43 | 2003 | Italy | Europe | 476 | 0.01256 |
Crow et al44 | 1991 | England | Europe | 560 | 0.0148 |
508 | 0.0134 | ||||
Dabelea et al45 | 2009 | Navajo nation | USA | 86 | 0.00224 |
841 | 0.0224 | ||||
1452 | 0.03934 | ||||
Dacou-Voutetakis et al46 | 1995 | Greece | Europe | 239 | 0.00625 |
Demirbilek et al47 | 2013 | Turkey | Asia | 275 | 0.0072 |
Derraik et al48 | 2012 | New Zealand | Europe | 845 | 0.0225 |
Dziatkowiak et al49 | 2002 | Poland | Europe | 316 | 0.0083 |
244 | 0.0064 | ||||
301 | 0.0079 | ||||
Ehehalt et al50 | 2012 | Europe | Europe | 579 | 0.0153 |
Ehehalt et al51 | 2009 | Italy | Europe | 560 | 0.0148 |
Ehehalt et al52 | 2012 | Europe | Europe | 579 | 0.0153 |
El-Ziny et al53 | 2014 | Egypt | Africa | 119 | 0.0031 |
Feltbower et al54 | 2002 | UK | Europe | 493 | 0.013 |
Ferreira et al55 | 1993 | Brazil | USA | 290 | 0.0076 |
Forga et al56 | 2013 | Spain | Europe | 331 | 0.0087 |
Formosa et al57 | 2012 | Malta | Africa | 821 | 0.02186 |
Frazer De Llado et al58 | 1998 | Puerto Rico | USA | 679 | 0.018 |
Frongia et al59 | 1997 | Italy | Europe | 1411 | 0.0382 |
Gardner et al60 | 1997 | USA | USA | 701 | 0.0186 |
Charkaluk et al61 | 2002 | France | Europe | 364 | 0.00958 |
Giralt et al62 | 2001 | Spain | Europe | 973 | 0.026 |
Goday et al63 | 1992 | Spain | Europe | 407 | 0.0107 |
Gong et al64 | 2013 | China | Asia | 56 | 0.00145 |
Gopinath et al65 | 2008 | Sweden | Europe | 914 | 0.02438 |
Gorham et al66 | 1993 | USA | USA | 801 | 0.0213 |
Grabauskas et al67 | 1991 | Lithuania | Europe | 256 | 0.0067 |
Green and Patterson68 | 2001 | Hungary | Europe | 686 | 0.0182 |
Harjutsalo et al69 | 2008 | Finland | Europe | 1577 | 0.0429 |
Harjutsalo et al70 | 2013 | Finland | Europe | 2264 | 0.0629 |
Huen et al71 | 2000 | Hong Kong | Asia | 54 | 0.0014 |
Jarosz-Chobot et al72 | 2010 | Poland | Europe | 375 | 0.00987 |
Jarosz-Chobot et al73 | 2011 | Poland | Europe | 388 | 0.0102 |
Ji et al74 | 2010 | Sweden | Europe | 27 | 0.00071 |
Kadiki and Moawad75 | 1994 | Libya | Africa | 335 | 0.0088 |
Kadiki et al76 | 1996 | Libya | Africa | 343 | 0.009 |
Karvonen et al77 | 1996 | Finland | Europe | 1319 | 0.0356 |
Karvonen et al78 | 2000 | China & Venezuela | Asia | 4 | 0.0001 |
Karvonen et al79 | 1997 | Finland | Europe | 1507 | 0.0409 |
Kida et al80 | 1999 | Japan | Asia | 58 | 0.0015 |
Koton81 | 2007 | Asia | Asia | 305 | 0.008 |
Kulaylat and Narchi82 | 2000 | Saudi Arabia | Asia | 437 | 0.0115 |
Lammi et al83 | 2007 | Finland | Europe | 601 | 0.0159 |
Larenas et al84 | 1996 | Chile | USA | 49 | 0.00127 |
Lawrence et al85 | 2014 | USA | USA | 914 | 0.0244 |
Legault and Polychronakos86 | 2006 | Canada | USA | 568 | 0.015 |
Libman et al87 | 1998 | USA | USA | 631 | 0.0167 |
Lin et al88 | 2014 | Taiwan | Asia | 128 | 0.00334 |
Lipman89 | 1993 | USA | USA | 494 | 0.01302 |
Lipman et al90 | 2002 | USA | USA | 504 | 0.0133 |
Lipman et al91 | 2006 | USA | USA | 560 | 0.0148 |
Lipman et al92 | 2013 | USA | USA | 642 | 0.017 |
Lipton et al93 | 2002 | USA | USA | 575 | 0.0152 |
Lisbôa et al94 | 1998 | Brazil | USA | 455 | 0.012 |
Li et al95 | 2000 | China | Asia | 22 | 0.00056 |
Lora-Gómez et al96 | 2005 | Spain | Europe | 635 | 0.0168 |
Mamoulakis et al97 | 2003 | Crete | Europe | 233 | 0.0061 |
Martinucci et al98 | 2002 | Belarus | Europe | 176 | 0.0046 |
Mauny et al99 | 2005 | France | Europe | 230 | 0.00603 |
Mayer-Davis et al100 | 2009 | USA | USA | 594 | 0.0157 |
Mazzella et al101 | 1994 | Italy | Europe | 445 | 0.01172 |
Metcalfe and Baum102 | 1991 | Britain | Europe | 512 | 0.0135 |
Michalková et al103 | 2004 | Slovakia | Europe | 529 | 0.01396 |
Morales-Pérez et al104 | 2000 | Spain | Europe | 485 | 0.0128 |
Muiña et al105 | 2012 | Spain | Europe | 1031 | 0.0276 |
Muntoni et al106 | 1992 | Sardinia | Europe | 911 | 0.0243 |
Muntoni et al107 | 1997 | Italy | Europe | 1255 | 0.0338 |
Neu et al108 | 1997 | German | Europe | 440 | 0.0116 |
Neu et al109 | 2001 | Europe | Europe | 474 | 0.0125 |
Newhook et al110 | 2004 | Canada | USA | 1331 | 0.03593 |
Newhook et al111 | 2008 | Canada | USA | 1300 | 0.03508 |
Newhook et al112 | 2012 | Canada | USA | 1394 | 0.0377 |
Ostrauskas et al113 | 2011 | Lithuania | Europe | 316 | 0.0083 |
Patterson et al114 | 2000 | Macedonia | Europe | 123 | 0.0032 |
Patterson et al115 | 2001 | Finland | Europe | 1482 | 0.0402 |
Peter116 | 2007 | Bahamas | USA | 384 | 0.0101 |
Pinelli et al117 | 1998 | Italy | Europe | 407 | 0.0107 |
Pishdad118 | 2005 | Iran | Asia | 120 | 0.00314 |
Podar et al119 | 1992 | Estonia | Europe | 448 | 0.0118 |
Polanska et al120 | 2014 | Poland | Europe | 452 | 0.01192 |
Prisco et al121 | 1996 | Italy | Europe | 232 | 0.00607 |
Pronina et al122 | 2008 | Moscow | Europe | 489 | 0.0129 |
Pundziute-Lyckå et al123 | 2003 | Lithuania | Europe | 361 | 0.0095 |
263 | 0.0069 | ||||
Radosevic et al124 | 2013 | Bosnia and Herzegovina | Europe | 286 | 0.0075 |
Slovenia | 474 | 0.0125 | |||
Ramachandran et al125 | 1996 | India | Asia | 399 | 0.0105 |
Rami et al126 | 2001 | Austria | Asia | 342 | 0.00899 |
Rangasami et al127 | 1997 | Scotland | Europe | 896 | 0.0239 |
Serrano Río et al128 | 1990 | Spain | Europe | 429 | 0.0113 |
Roche et al129 | 2002 | Ireland | Europe | 627 | 0.0166 |
Rosenbauer et al130 | 1999 | Europe | Europe | 309 | 0.0081 |
Aude Rueda et al131 | 1998 | Mexico | USA | 44 | 0.00115 |
Rytkönen et al132 | 2003 | Finland | Europe | 1383 | 0.0374 |
Samardzic et al133 | 2010 | Montenegro | Europe | 508 | 0.0134 |
Samuelsson et al134 | 1994 | Sweden | Europe | 944 | 0.0252 |
Santos et al135 | 2001 | Chile | USA | 157 | 0.00411 |
Sasaki and Okamoto136 | 1992 | Japan | Asia | 64 | 0.00168 |
77 | 0.002 | ||||
Schober et al137 | 1995 | Australia | Asia | 301 | 0.0079 |
Schober et al138 | 2009 | Austria | Asia | 694 | 0.0184 |
Schoenle et al139 | 2001 | Switzerland | Europe | 399 | 0.0105 |
Scott et al140 | 1992 | New Zealand | Europe | 482 | 0.0127 |
Sebastiani et al141 | 1996 | Italy | Europe | 301 | 0.0079 |
Sella et al142 | 2010 | Asia | Asia | 481 | 0.01269 |
Sereday et al143 | 1994 | Argentina | USA | 2694 | 0.0759 |
Shaltout et al144 | 2002 | Kuwait | Asia | 757 | 0.0201 |
Shamis et al145 | 1997 | Asia | Asia | 278 | 0.0073 |
López Siguero et al146 | 1997 | Malaga | Europe | 541 | 0.0143 |
Sipetic et al147 | 2013 | Serbia | Europe | 395 | 0.0104 |
Skordis and Hadjiloizou148 | 1997 | Greece | Europe | 399 | 0.0105 |
Skordis et al149 | 2002 | Greece | Europe | 430 | 0.01132 |
Skordis et al150 | 2012 | Cyprus | Asia | 473 | 0.01246 |
Skrivarhaug et al151 | 2014 | Norway | Europe | 1215 | 0.0327 |
Smith et al152 | 2007 | USA | USA | 683 | 0.0181 |
Staines et al153 | 1993 | UK | Europe | 519 | 0.0137 |
Staines et al154 | 1997 | Pakistan | Asia | 39 | 0.00102 |
Stipancic et al155 | 2008 | Croatia | Europe | 338 | 0.00887 |
Svensson et al156 | 2002 | Denmark | Europe | 731 | 0.0194 |
Svensson et al157 | 2008 | Denmark | Europe | 827 | 0.022 |
Swai et al158 | 1993 | Tanzania | Africa | 58 | 0.0015 |
Tahirovic et al159 | 2007 | Bosnia and Herzegovina | Europe | 271 | 0.0071 |
Taplin et al160 | 2005 | New South Wales | Asia | 786 | 0.0209 |
Teeäär et al161 | 2009 | Estonia | Europe | 649 | 0.0172 |
Thunander et al162 | 2008 | Sweden | Europe | 1397 | 0.0378 |
Torffvit et al163 | 2007 | Sweden | Europe | 482 | 0.0127 |
Toth et al164 | 1997 | Canada | USA | 962 | 0.0257 |
Toumba et al165 | 2007 | Cyprus | Asia | 452 | 0.0119 |
Tran et al166 | 2014 | Australia | Asia | 827 | 0.022 |
Tuchinda et al167 | 2002 | Thailand | Asia | 63 | 0.00165 |
Tull et al168 | 1991 | Virgin Islands | USA | 286 | 0.0075 |
Tuomilehto et al169 | 1991 | Finland | Europe | 1219 | 0.0328 |
Tuomilehto-Wolf et al170 | 1991 | Estonia | Europe | 407 | 0.0107 |
Tuomilehto et al171 | 1992 | Finland | Europe | 1305 | 0.0352 |
Tuomilehto et al172 | 1992 | Finland | Europe | 1031 | 0.0276 |
Tuomilehto et al173 | 1993 | Mauritius | Africa | 81 | 0.0021 |
Tuomilehto et al174 | 199 | Finland | Europe | 1369 | 0.037 |
Tzaneva et al175 | 1998 | Bulgaria | Europe | 241 | 0.00632 |
Vandewalle et al176 | 1997 | Belgium | Europe | 448 | 0.0118 |
Vehik177 | 2007 | Colorado | USA | 560 | 0.0148 |
Verge et al178 | 1994 | Australia | Asia | 549 | 0.0145 |
Vichi et al179 | 2014 | Italy | Europe | 508 | 0.0134 |
Vlajinac et al180 | 1995 | Serbia | Europe | 294 | 0.0077 |
Vos et al181 | 1996 | Netherland | Europe | 753 | 0.02 |
Wadsworth et al182 | 1995 | England | Europe | 354 | 0.0093 |
Washington et al183 | 2012 | USAVirgin Islands | USA | 579 | 0.0153 |
Willis et al184 | 2002 | New Zealand | Europe | 757 | 0.02012 |
Wong185 | 1994 | China | Asia | 65 | 0.0017 |
Wong et al186 | 1993 | Hong Kong | Asia | 77 | 0.002 |
Yang et al187 | 1998 | China | Asia | 18 | 0.00048 |
Yang et al188 | 2005 | China | Asia | 18 | 0.00047 |
Zalutskaya et al189 | 2004 | Gomel area | Europe | 300 | 0.00786 |
Minsk area | 127 | 0.00332 | |||
Zhao et al190 | 1999 | England | Europe | 564 | 0.0149 |
Zhao et al191 | 2014 | China | China | 119 | 0.0031 |
Zubkiewicz-Kucharska and Noczyńska192 | 2010 | Poland | Europe | 471 | 0.01241 |
Table 2. Prevalence and incidence of type 1 diabetes in the world .
Prevalence Per 10 000 | Incidence Per 100 000 | |
World | 5.9 | 15 |
Asia | 9.6 | 15 |
Africa | 5.3 | 8 |
Europe | 2.12 | |
America | 3.9 | 20 |
Table 3. Characteristics of studies prevalence of type 1 diabetes .
Study | Country | Sample Size | Prevalence Per 100 000 |
Akazawa193 | Japan | 40 | 10 |
Akesen et al194 | Turkey | 26 | 67 |
Al-Herbish et al195 | Saudi Arabia | 42 | 109.5 |
Aschner et al13 | America | 2827 | 8000 |
Bessaoud et al18 | Algeria | 10 | 27 |
Dabelea et al45 | Navajo nation | 40 | 11 |
31 | 81 | ||
106 | 278 | ||
Dabelea et al196 | USA | 57 | 148 |
Ehehalt et al51 | Italy | 3761 | 11000 |
Elamin et al197 | Sudan | 17 | 42.98 |
El-Ziny et al53 | Egypt | 10 | 26.8 |
Eriksson et al198 | Finland | 1009 | 2700 |
Evans et al199 | Scotland | 6592 | 22000 |
Frongia et al59 | Italy | 176 | 459 |
Garancini et al200 | Italy | 31 | 80 |
Gujral et al201 | UK | 29 | 75 |
Jorge et al202 | Portugal | 49 | 128 |
Kemper et al203 | USA | 70 | 183 |
Mayer-Davis et al100 | USA | 218 | 570 |
Moussa et al204 | Kuwait | 103 | 269.9 |
Ostrauskas205 | Lithuania | 31 | 80.64 |
Ostrauskas and Žalinkevičius206 | Lithuania | 27 | 70.23 |
Peter et al116 | Bahamas | 12 | 31 |
Pettitt et al207 | USA | 74 | 193 |
Ramachandran et al208 | India | 10 | 26 |
Rangasami et al127 | Scotland | 58 | 150 |
Scott et al140 | New Zealand | 44 | 115 |
López Siguero et al146 | Malaga | 297 | 780 |
Soliman et al209 | Oman | 50 | 13.25 |
Songini et al210 | Sardinia | 46 | 119 |
Wong185 | China | 30 | 8.3 |
Wu et al211 | New Zealand | 87 | 227 |
Prevalence and incidence of type 1 diabetes in Asia
Prevalence and incidence of type 1 diabetes were extracted from meta-analysis studies. In type 1 diabetes incidence, the heterogeneity between studies in the meta-analysis was significant (Q = 50.51; df = 16; P < 0.001; I2 = 68.33), but in the prevalence of diabetes 1, the heterogeneity was not significant (Q = 5220; df = 6; P < 0.001; I2 = 99.88). The incidence of type 1 diabetes in Asia was 15 per 100 000 population, which was statistically significant (Incidence = 0.015, 95% CI = 0.010 to 0.021, P < 0.001), and the prevalence of type 1 diabetes was 6.9 per 10 000 people, which was statistically significant (Prevalence = 0.069, 95% CI = 0.020 to 0.214, P < 0.001). Figures 2A and 2B show the forest plot of prevalence and incidence of type 1 diabetes in Asia.
Prevalence and incidence of type 1 diabetes in Africa
Prevalence and incidence of type 1 diabetes were extracted from meta-analysis studies. In type 1 diabetes incidence, the heterogeneity between studies in the meta-analysis was not significant (Q = 23.79; df = 6; P < 0.001; I2 = 74.78) and in the prevalence of diabetes 1, the heterogeneity was not significant too, (Q = 4.4; df = 1; P < 0.001; I2 = 77.27). The incidence of type 1 diabetes in Africa was 8 per 100 000 population, which was statistically significant (Incidence = 0.008, 95% CI = 0.003 to 0.021 P < 0.001), and the prevalence of type 1 diabetes was 3.5 per 10 000 people, which was not statistically significant (prevalence = 0.035, 95% CI: 0.022 to 0.055, P < 0.001). Figures 3A and 3B show the forest plot of prevalence and incidence of type 1 diabetes in Africa.
Prevalence and incidence of type 1 diabetes in Europe
Prevalence and incidence of type 1 diabetes were extracted from meta-analysis studies. In type 1 diabetes incidence, the heterogeneity between studies in the meta-analysis was significant (Q = 895.56, df = 96, P < 0.001, I2 = 89.28) but in the prevalence of diabetes 1, the heterogeneity was not significant, (Q = 5792.85, df = 15, P < 0.001, I2 = 99.74). The incidence of type 1 diabetes in Europe was 15 per 100 000 population, which was statistically significant (Incidence = 0.015, 95% CI = 0.013 to 0.018, P < 0.001), and the prevalence of type 1 diabetes was 12.2 per 10 000 people, which was statistically significant (Prevalence = 0.122, 95% CI = 0.085 to 0.171, P < 0.001). Figures 4 and 5 show the forest plot of prevalence and incidence of type 1 diabetes in Europe.
Prevalence and incidence of type 1 diabetes in America
Prevalence and incidence of type 1 diabetes were extracted from meta-analysis studies. In type 1 diabetes incidence, the heterogeneity between studies in the meta-analysis was significant (Q = 18.88, df = 16, P = 0.27, I2 = 15.28) and in the prevalence of diabetes 1, the heterogeneity was significant too, (Q = 1120.79, df = 7, P < 0.001, I2 = 99.38). The incidence of type 1 diabetes in America was 20 per 100 000 population, which was statistically significant (Incidence = 0.020, 95% CI = 0.010 to 0.021, P < 0.001), and the prevalence of type 1 diabetes was 12.2 per 10 000 people, which was statistically significant (Prevalence = 0.093, 95% CI = 0.063 to 0.137, P < 0.001). Figures 6A and 6B show the forest plot of prevalence and incidence of type 1 diabetes in America. A sensitivity analysis was done for Incidence of type 1 diabetes in America based on excluding studies with too wide CIs. Sensitivity analysis’s results show that the incidence of type 1 diabetes in America is 19 per 100 000 population, which is statistically significant (Incidence = 0.019, 95% CI = 0.016 to 0.022, P < 0.001).
Prevalence and incidence of type 1 diabetes in the world
Prevalence and incidence of type 1 diabetes were extracted from meta-analysis studies. In type 1 diabetes incidence, the heterogeneity between studies in the meta-analysis was significant (Q = 1020.30, df = 137, P < 0.001, I2 = 86.57) and in the prevalence of diabetes 1, the heterogeneity was significant too, (Q = 14760.32, df = 32, P < 0.001, I2 = 99.78). The incidence of type 1 diabetes in world was 15 per 100 000 population, which was statistically significant (Incidence = 0.015, 95% CI = 0.013 to 0.017, P < 0.001), and the prevalence of type 1 diabetes was 9.5 per 10 000 people, which was statistically significant (prevalence = 0.095, 95% CI = 0.070 to 0.128, P < 0.001). Figure 7 shows the forest plot of prevalence and incidence of type 1 diabetes in the world.
Publication bias
In order to assess the publication bias, Eggers Regression test was used. Based on the results, the population bias between studies was not significant (t-value = 1.26, df 93, P = 0.21).
Meta-Regression
Meta-regression was used to determine the effect of time on type 1 diabetes incidence. The results showed that the incidence of type 1 diabetes has increased over time. The meta-regression plot is shown in Figure 8.
Discussion
The global trend of increasing prevalence of type 1 diabetes, with multiple etiologies, operates through multiple mechanisms. In the present study, data were extracted from 193 articles between 1990 and 2019. The results showed that the incidence of type 1 diabetes in continental subgroups (Asia, Africa, Europe, and America) was 15 per 100 000, 8 per 100 000, 15 per 100 000 and 20 per 100, respectively. Also, the global prevalence of continental subtypes of type 1 diabetes in the above regions was, 6.9 per 10 000, 3.5 per 10 000, and 12.2 per 10 000, respectively.
Relative differences between obtained results and previous statistics may be due to different research time periods and new global population status. Especially in recent years (social, political and economic migration), the changing global climate coupled with new policies and sanctions that have led to poorer middle-income and low-income countries.212
The pathogenesis of type 2 diabetes is known, which is associated with different genes and the involvement of multiple factors. Type 2 diabetes can be prevented and treated by removing or reducing these factors. Most of the warnings of national and international health bodies and diabetes associations are based on lifestyle changes and stress reduction that can prevent diabetes.213
But in type 1 diabetes, that make up 5 to 15 percent of diabetics and often involve children, Prevention ways have not yet been defined. However, screening of type 1 diabetes in prone families in relation to autoantibodies has recently been proposed. Also, clinical studies on the prevention of type 1 diabetes have been conducted.214
If one foot was amputated every 30 seconds, today it’s every 15 seconds. Need for dialysis equipment will increase. The CCU and ICU beds will be full of stroke and myocardial infarction patients. The population of the blind increases and unfortunately, new, effective, and less complicated treatments become more expensive.215
The disease shows a significant increase in glucose and possibly DKA. These patients definitely need insulin due to the pathogenesis of insulin deficiency. Manufacturing and production of insulin (traditional insulins and analog insulins) and insulin pumps, despite being inexpensive in producing countries, is shipped to low- and middle-income countries for high prices which is a major problem for the managing of type 1 diabetes patients. Certainly, uncontrolled hyperglycemia in type 1 diabetic patients will make all the problems more severe.216
Limitations
One of the limitations of the study was the poor quality of some articles and, despite a careful search, the lack of access to some of the full text of the published articles.
Conclusion
According to the results, the incidence and prevalence of type 1 diabetes are increasing in the world. As a result, insulin will be difficult to access and afford, especially in underdeveloped and developing countries. Thus, warnings about this can help international organizations and countries to plan for preventive measures.
Ethical approval
This research was approved by the Local Ethics Committee with No. 61701.
Competing interests
The authors declare that they have no competing interests.
Funding
This article was supported by the Research Center for Evidence-Based Medicine, and the Research Vice-Chancellor of Tabriz University of Medical Sciences.
Authors’ contributions
Concept: MM. Study design: MSH and TA. Systematic search: NV. Critical reviews: MM and TA. Data extraction: MSH and MGH. Data analysis: MGH and HHF. Writing: NV, TA and MM. All authors had primary responsibility for the final content of the manuscript and read and approved the final manuscript.
Acknowledgments
Special thanks to the Research Vice-Chancellor of Tabriz University of Medical Sciences for financial support for this study.
Supplementary Materials
Supplementary file 1 contains search strategy.
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Supplementary Materials
Supplementary file 1 contains search strategy.