医師紹介

略歴

職歴

• 過去に専門外来を担当した医療機関（1年以上、週一回以上）
  東大病院（2011-）、JR東京総合病院（2009-）、東芝病院（現東京品川病院）（2007-2018）、伊藤忠商事診療所　他

• URL
  Researchgate
  researchmap

受賞

1. 日本学術振興会海外特別研究員、日本学術振興会(国費留学）
2. EFSD-JDS Reciprocal Travel Fellowship Programme, 日本糖尿病学会/欧州糖尿病学会による留学助成
3. 日本糖尿病学会第１回若手研究助成
4. Research Grant Award, The Daiwa Anglo-Japanese Foundation、ロンドン、イギリス
5. Grant Award for UK-Japan collaboration, Great Britain Sasakawa Foundation、ロンドン、イギリス
6. The Best Poster Prize, The World Congress on Clinical Trials in Diabetes, ベルリン、ドイツ
7. 2021年度 Front Runner of Future Diabetes Reseachに関する研究助成（FFDR）最優秀賞
8. Oral Presentation Award, International Diabetes Federation Western Pacific Region Congress、台湾
9. Travel grant, The Steno Symposium 2013, Frontiers in Diabetes, Denmark,デンマーク
10. 医学部学費免除（東京慈恵会医科大学）

研究内容

人工知能による臨床エビデンスの統合と体系化　h-index 30　(2024.2)

論文

1. Lee C, Yamada T, et al. Interaction between type 2 diabetes polygenic risk and physical activity on
   cardiovascular outcomes. Eur J Prev Cardiol. 2024 Feb 22:zwae075. doi: 10.1093/eurjpc/zwae075.
2. Reiner RC Jr; LBD Triple Burden Collaborators, Hay SI. The overlapping burden of the three leading causes of disability and death in sub-Saharan African children. Nat Commun. 2022 Dec 6;13(1):7457.
3. Schmidt CA, Cromwell EA, Hill E, Donkers KM, Schipp MF, Johnson KB, Pigott DM; LBD 2019 Neglected Tropical Diseases Collaborators, Hay SI. The prevalence of onchocerciasis in Africa and Yemen, 2000-2018: a geospatial analysis. BMC Med. 2022 Sep 7;20(1):293.
4. GBD 2019 Diabetes and Air Pollution Collaborators. Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990-2019: an analysis of data from the Global Burden of Disease Study 2019. Lancet Planet Health. 2022 Jul;6(7):e586-e600.
5. Kinyoki D, Osgood-Zimmerman AE, Bhattacharjee NV; Local Burden of Disease Anaemia Collaborators, Kassebaum NJ, Hay SI. Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018. Nat Med. 2021 Oct;27(10):1761-1782.
6. Cromwell EA, Osborne JCP,,, Yamada T, et al. Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning. PLoS Negl Trop Dis. 2021 Jul 28;15(7):e0008824.
7. Local Burden of Disease HIV Collaborators. Subnational mapping of HIV incidence and mortality among individuals aged 15-49 years in sub-Saharan Africa, 2000-18: a modelling study. Lancet HIV. 2021 Jun;8(6):e363-e375.
8. Bhattacharjee NV, Schaeffer LE, Hay SI; Local Burden of Disease Exclusive Breastfeeding Collaborators. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018. Nat Hum Behav. 2021 Aug;5(8):1027-1045.
9. Local Burden of Disease Vaccine Coverage Collaborators. Mapping routine measles vaccination in low- and middle-income countries. Nature. 2020 Dec 16:1–10.
10. Hiraike Y, Yang CT, Liu WJ, Yamada T*, Lee CL. FTO obesity variant-exercise interaction on changes in body weight and BMI: The Taiwan Biobank study. J Clin Endocrinol Metab. 2021 Apr 30:dgab295. *Corresponding author
11. Yamada T, Yoneoka D, Hiraike Y, Hino K, Toyoshiba H, Shishido A, Noma H, Shojima N, Yamauchi T. Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study. J Med Internet Res. 2020 Dec 30;22(12):e22422.
12. Hamaguchi Y, Noma H, Nagashima K, Yamada T, Furukawa TA. Frequentist performances of Bayesian prediction intervals for random-effects meta-analysis. Biom J. 2020 Nov 9. doi: 10.1002/bimj.201900351.
13. GBD 2019 Demographics Collaborators. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. Lancet. 2020 Oct 17;396(10258):1160-1203.
14. Local Burden of Disease 2019 Neglected Tropical Diseases Collaborators. The global distribution of lymphatic filariasis, 2000-18: a geospatial analysis. Lancet Glob Health. 2020 Sep;8(9):e1186-e1194.
15. Local Burden of Disease WaSH Collaborators. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle- income countries, 2000-17. Lancet Glob Health. 2020 Sep;8(9):e1162-e1185.
16. Kato A, Yoshiuchi K, Fujimaki Y, Fujimori S, Kobayashi Y, Yamada T, Kobayashi M, Izumida Y, Suzuki R, Yamauchi T, Kadowaki T. Understanding the experiences of long-term maintenance of self-worth in persons with type 2 diabetes in Japan: a qualitative study. BMJ Open. 2020 Aug 5;10(8):e034758.
17. LBD Double Burden of Malnutrition Collaborators. Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017. Nat Med. 2020 May;26(5):750-759.
18. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020 Feb 29;395(10225):709-733.
19. Local Burden of Disease Educational Attainment Collaborators. Mapping disparities in education across low- and middle-income countries. Nature. 2020 Jan;577(7789):235-238.
20. Local Burden of Disease Child Growth Failure Collaborators. Mapping child growth failure across low- and middle-income countries. Nature. 2020 Jan;577(7789):231-234.
21. Burstein R, Henry NJ,,, Yamada T, et al. Mapping 123 million neonatal, infant and child deaths between 2000 and 2017. Nature. 2019 Oct;574(7778):353-358.
22. GBD 2016 Neurology Collaborators. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019 May;18(5):459-480.
23. GBD 2016 Stroke Collaborators. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019 May;18(5):439-458.
24. GBD 2017 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1859-1922.
25. Yamada T, Lee CL, Liu WJ, Shojima N. Slow Weight Loss During Comprehensive Treatment and Worse Metabolic Control with Higher Weight Regain: A Trajectory Analysis. Obesity (Silver Spring). 2019 Dec;27(12):1925-1926.
26. GBD 2017 Population and Fertility Collaborators. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1995-2051.
27. GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1789-1858.
28. GBD 2017 SDG Collaborators. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):2091-2138.
29. GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1923-1994.
30. GBD 2017 Mortality Collaborators. Global, regional, and national age-sex- specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1684-1735.
31. GBD 2016 Alcohol Collaborators. Alcohol use and burden for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2018 Sep 22;392(10152):1015-1035.
32. Yamada T, Iwasaki K, Maedera S, Ito K, Takeshima T, Noma H, Shojima N. Myocardial infarction in type 2 diabetes using sodium-glucose co-transporter-2 inhibitors, dipeptidyl peptidase-4 inhibitors or glucagon-like peptide-1 receptor agonists: proportional hazards analysis by deep neural network based machine learning. Curr Med Res Opin. 2020 Mar;36(3):403-409.
33. Matsushima Y, Noma H, Yamada T, Furukawa TA. Influence diagnostics and outlier detection for meta-analysis of diagnostic test accuracy. Res Synth Methods. 2020 Mar;11(2):237-247.
34. Yamada T, Shojima N, Yamauchi T, Kadowaki T. Lactic acidosis due to attempted suicide with metformin overdose: A case report. Diabetes & Metabolism 2016; 6(42): 2901.
35. Yamada T, Shojima N, Noma H, Yamauchi T, Kadowaki T. Sodium-glucose co- transporter-2 inhibitors as add-on therapy to insulin for type 1 diabetes mellitus: Systematic review and meta-analysis of randomized controlled trials. Diabetes Obes Metab. 2018 Jul;20(7):1755-1761. (ACP journal club: Annals of Internal Medicine 2018 doi:10.7326/ACPJC-2018-169-2-003)
36. Yamada T. Linagliptin for elderly patients with type 2 diabetes. Lancet. 2014 Jan 25;383(9914):306.
37. Yamada T, Shojima N, Noma H, Yamauchi T, Kadowaki T. Glycemic control, mortality, and hypoglycemia in critically ill patients: a systematic review and network meta-analysis of randomized controlled trials. Intensive Care Med. 2017 Jan;43(1):1-15.
38. Yamada T, Shojima N, Hara K, Noma H, Yamauchi T, Kadowaki T. Glycemic control, mortality, secondary infection, and hypoglycemia in critically ill pediatric patients: A systematic review and network meta-analysis of randomized controlled trials. Intensive Care Med. 2017 Sep;43(9):1427-1429.
39. Yamada T, Kamata R, Ishinohachi K, Shojima N, Ananiadou S, Nom H, Yamauchi T, Kadowaki T. Biosimilar vs originator insulins: Systematic review and meta-analysis. Diabetes Obes Metab. 2018 Jul;20(7):1787-1792.
40. Yamada T, Shojima N, Noma H, Yamauchi T, Kadowaki T. Weekly Versus Daily Dipeptidyl Peptidase 4 Inhibitor Therapy for Type 2 Diabetes: Systematic Review and Meta-analysis. Diabetes Care. 2018 Apr;41(4):e52-e55.
41. Yamada T, Yanagimoto S, Kadowaki T. Dose-Response Relationship Between Severe Hypercholesterolemia and Body Mass Index in Healthy Young Adults. Mayo Clin Proc. 2017 Jul;92(7):1167-1168.
42. Yamada T, Yanagimoto S. Dose-Response Relationship between the Risk of Vasovagal Syncope and Body Mass Index or Systolic Blood Pressure in Young Adults Undergoing Blood Tests. Neuroepidemiology. 2017;49(1-2):31-33.
43. Yamada T, Shojima N, Yamauchi T, Kadowaki T. J-curve relation between daytime nap duration and type 2 diabetes or metabolic syndrome: A dose-response meta-analysis. Sci Rep. 2016 Dec 2;6:38075.
44. Yamada T. Achieved glucose level and mortality risk in randomized clinical trials. Resuscitation. 2017 Jan;110:e3-e4.
45. Yamada T, Hara K, Shojima N, Yamauchi T, Kadowaki T. Daytime Napping and the Risk of Cardiovascular Disease and All-Cause Mortality: A Prospective Study and Dose-Response Meta-Analysis. Sleep. 2015 Dec 1;38(12):1945-53.
46. Yamada T, Hara K, Svensson AK, Shojima N, Hosoe J, Iwasaki M, Yamauchi T, Kadowaki T. Successfully achieving target weight loss influences subsequent maintenance of lower weight and dropout from treatment. Obesity (Silver Spring). 2015 Jan;23(1):183-91.
47. Toda G, Fujishiro M, Yamada T, Shojima N, Sakoda H, Suzuki R, Yamauchi T, Ueki K, Kadowaki T. Lung abscess without sepsis in a patient with diabetes with refractory episodes of spontaneous hypoglycemia: a case report and review of the literature. J Med Case Rep. 2014 Feb 13;8:51.
48. Yamada T, Kiuchi Y, Nemoto M, Yamashita S. Charting weight four times daily as an effective behavioural approach to obesity in patients with type 2 diabetes. Diab Vasc Dis Res. 2014 Mar;11(2):118-20.
49. Yamada T, Hara K, Kadowaki T. Comment on: Lin et al. Long-term changes in adiposity and glycemic control are associated with past adenovirus infection. Diabetes Care. 2013 Sep;36(9):e161.
50. Yamada T, Hara K, Kadowaki T. Chewing betel quid and the risk of metabolic disease, cardiovascular disease, and all-cause mortality: a meta-analysis. PLoS One. 2013 Aug 5;8(8):e70679.
51. Yamada T, Hara K, Umematsu H, Kadowaki T. Male pattern baldness and its association with coronary heart disease: a meta-analysis. BMJ Open. 2013 Apr 3;3(4):e002537.
52. Yamada T, Hara K, Umematsu H, Suzuki R, Kadowaki T. Erectile dysfunction and cardiovascular events in diabetic men: a meta-analysis of observational studies. PLoS One. 2012;7(9):e43673.
53. Yamada T, Hara K, Kadowaki T. Association of adenovirus 36 infection with obesity and metabolic markers in humans: a meta-analysis of observational studies. PLoS One. 2012;7(7):e42031.
54. Yamada T, Itoi T, Kiuchi Y, Nemoto M, Yamashita S. Proliferative diabetic retinopathy is a predictor of coronary artery disease in Japanese patients with type 2 diabetes. Diabetes Res Clin Pract. 2012 Apr;96(1):e4-6.
55. Makino K, Yoshitama T, Kanda S, Takasawa Y, Yamada T, Itaya H, Lee T, Saeki F, Nakamura M, Sugi K. Relation of coronary plaque composition determined by 64-slice multidetector computed tomography in patients with suspected coronary heart disease. Am J Cardiol. 2011 Jun 1;107(11):1624-9.
56. Yamada T, Yoshitama T, Makino K, Lee T, Saeki F. Heart rate recovery after exercise is a predictor of silent myocardial ischemia in patients with type 2 diabetes. Diabetes Care. 2011 Mar;34(3):724-6.

Original Text mining Software

1. Yamada T, Kondo Y, Momosaki R. 2019. PICO and Risk Of bias Navigator for Evidence Based Medicine. PeerJ Preprints 7:e27684v1
2. Yamada T, Kondo Y, Momosaki R. 2019. Automated data extraction software for medical summary using text mining (T-Library) PeerJ Preprints 7:e27685v1

Media

1. 日本経済新聞　東大と自治医大など、2型糖尿病の遺伝リスクと身体活動が心血管病に及ぼす遺伝子環境相互作用を解析
   2024年3月12日
   https://www.nikkei.com/article/DGXZRSP669311_R10C24A3000000/
2. BBC News(UK) Male baldness 'indicates heart risk' 4 April, 2013
   http://www.bbc.co.uk/news/health-22014173
3. NBC News (USA) Balding men may have higher risk of heart attack, study finds. 3 April, 2013
   http://www.nbcnews.com/id/51421287/ns/health/
4. The Times (UK) Bald men more at risk of heart disease, claim researchers. 4 April, 2013
   http://www.thetimes.co.uk/tto/health/news/article3730245.ece
5. New York times (USA) Baldness as a Signal of Heart Disease Risk. April 5, 2013
   http://well.blogs.nytimes.com/2013/04/05/baldness-as-a-signal-of-heart-disease-risk/
6. USA Today (USA) Heart risk study is hair thin for men. 3 Aprll, 2013
   http://m.usatoday.com/article/news/2050013
7. CBC News (USA) Add male baldness to list of reasons to stay heart healthy. 4 April, 2013
   http://www.cbc.ca/news/health/story/2013/04/04/baldness-male-heart.html
8. The Wall street journal　 Study Finds Link Between Diabetes, Napping　17 September、2015
   http://www.wsj.com/articles/new-study-shows-type-2-diabetes-linked-to-daytime-napping-1442506065
9. Telegraph Hour-long afternoon naps may increase risk of diabetes
   http://www.telegraph.co.uk/news/science/science-news/11872199/Why-power-naps-may-be-bad-for-your-

書籍

1. 臨床医のための医療AI概論（日経BP社）、山田朋英・谷田部卓 2019

主要な招待講演

1. 第56回糖尿病学の進歩【特別企画２】AIと統計の臨床・研究への応用：糖尿病臨床研究へのAIの応用.山田朋英.2022.2
2. 第65回日本糖尿病学会年次学術集会. EFSDとの交換留学制度の報告会「留学先での研究成果・経験.山田朋英.2022.5
3. “Computer application to systematic reviews” .山田朋英, Advanced Statistics for Meta-analyses and Network Meta-analyses Workshop in English. Cochrane Collaboration (Tokyo, Japan). 2018.11
4. “Network meta-analysis of treatment modalities for diabetes”. 山田朋英. 3rd Korea-Japan Diabetes Forum (Busan, Korea) . 2017.5