6.9.2020 - Wikipedia

John Ioannidis

John P. A. Ioannidis (/ˌiəˈniːdəs/; el:Ιωάννης Ιωαννίδης, Greek John P. A. Ioannidis pronunciation: [i.ɔ.ˈa.nis i.ɔ.aˈni.ðis][1][2]; born August 21, 1965) is a Greek-American physician-scientist, writer and Stanford Born August 21, 1965 University professor who has made contributions to evidence- , U.S. based , , and clinical research. Ioannidis Nationality American, Greek studies scientific research itself, meta-research primarily in clinical medicine and the social sciences. Alma mater University of Medical School Ioannidis’ paper on “Why Most Published Research Findings are Athens College False” has been the most-accessed article in the history of Public Known for Library of Science (>2.5 million hits). Scientific career Ioannidis has been a prominent opponent of prolonged Fields Medicine, [3][4] lockdowns during the COVID-19 pandemic. metascience Institutions Stanford School of Medicine Contents Early life and education Career Research COVID-19 Santa Clara study Press coverage Awards See also References External links

Early life and education

Born in New York City in 1965, Ioannidis was raised in Athens, .[6] He was valedictorian of his class at Athens College, graduating in 1984, and won a number of awards, including the National Award of the Greek Mathematical Society.[7] He graduated in the top rank of his class at the University of Athens Medical School, then attended for his medical in internal medicine. He did a fellowship at for infectious disease.[8]

Career

From 1998 to 2010, Ioannidis was chairman of the Department of Hygiene and Epidemiology, University of School of Medicine. In 2002 he became an adjunct professor at Tufts University School of Medicine.[9][7] He has also been president of the Society for Research Synthesis Methodology.[7] He is highly cited, having an h-index of 196 on in 2020.[10]

https://en.wikipedia.org/wiki/John_Ioannidis 1/5 6.9.2020 John Ioannidis - Wikipedia He is now Professor of Medicine, Health Research and Policy and of Biomedical Data Science at School of Medicine and a professor, by courtesy, of at Stanford University School of Humanities and Sciences.[11][12] He is director of the Stanford Prevention Research Center, and co- director, along with Steven N. Goodman, of the Meta-Research Innovation Center at Stanford (METRICS).[13][14]

He was the editor-in-chief of the European Journal of Clinical Investigation from 2010 to 2019.[15]

Research

Ioannidis' 2005 paper "Why Most Published Research Findings Are False"[5] is the most downloaded paper in the Public Library [16][17][18] of Science. In the paper, Ioannidis says that most John Ioannidis (2005), "Why Most published research does not meet good scientific standards of Published Research Findings Are evidence. Ioannidis has also described the in False.[5] diverse scientific fields including genetics,[19] clinical trials,[20] [21], and nutrition.[22] His work has aimed to identify solutions to problems in research, and on how to perform research more optimally.[23][24]

Ioannidis' research at Stanford focuses on meta-analysis and meta-research – the study of studies.[25] Thomas Trikalinos and Ioannidis coined the term Proteus phenomenon to describe tendency for early studies on a subject to find larger effect than later ones.[26]

COVID-19

Ioannidis' commentary on the COVID-19 pandemic has been the subject of increased media attention as well as objections from other researchers since the beginning of 2020.[4]

In an editorial on STAT published March 17, 2020, Ioannidis criticized the lack of informed decision- making in the global response to the COVID-19 pandemic, calling it a "once-in-a-century evidence fiasco."[12]

In March 2020, Ioannidis tried to organize a meeting at the White House where he and colleagues would caution President against "shutting down the country for [a] very long time and jeopardizing so many lives in doing this," according to a proposal he submitted. The meeting did not come to pass, but on March 28, after Trump said he wanted the country reopened by Easter, Ioannidis wrote to his colleagues, "I think our ideas have inflitrated [sic] the White House regardless".[3]

As of August 2020, Ioannidis' meta-analysis of antibody tests estimated the median fatality rate of COVID-19 at 0.24% in 32 locations around the world, and 0.9% in the harder-hit areas.[27][28]

Santa Clara study

Ioannidis was a co-author in a controversial study, "COVID-19 Antibody Seroprevalence in Santa Clara County, California",[29] released as a on April 17, 2020. It asserted that Santa Clara County's number of was 50 to 85 times higher than the official count, putting the virus’s fatality rate as low as 0.12% to 0.2%. The study drew widespread publicity, and some of its methods and conclusions were publicly disputed by other scientists.[30][31][32] It was reported that authors of

https://en.wikipedia.org/wiki/John_Ioannidis 2/5 6.9.2020 John Ioannidis - Wikipedia the study received funding from JetBlue's founder, which led to criticism over a potential conflict of interest.[33][34] On May 11, the authors revised the study[29] with new figures that, according to one analysis, would suggest the virus's fatality rate is .33%.[35]

Press coverage

In 2010, The Atlantic wrote a lengthy piece on Ioannidis, as a part of a special edition about "Brave Thinkers".[36][37]

In 2014, wrote a shorter piece about the foundation, by Ioannidis and Steven Goodman, of the Meta-Research Innovation Centre at Stanford.[38]

In 2015, he was profiled in the BMJ and described as "the scourge of sloppy science".[39]

Awards

Ioannidis has received numerous awards and honorary titles and he is a member of the U.S. National Academy of Medicine,[40] of the European Academy of Sciences and Arts and an Einstein Fellow.[11] In 2019, Ioannidis was awarded the NIH's Robert S. Gordon, Jr. Lecture in Epidemiology.[41]

See also

Open science Replication crisis

References 1. wikt:el:Ιωάννης 2. wikt:el:Ιωαννίδης. 3. Lee, Stephanie M. . BuzzFeed News. Retrieved 2020-07-26. 4. Freedman, David. . Wired. Retrieved 24 May 2020. 5. Ioannidis, J. P. A. (2005). "Why Most Published Research Findings Are False" (https://www.ncbi.n lm.nih.gov/pmc/articles/PMC1182327). PLoS Medicine. 2 (8): e124. doi:10.1371/journal.pmed.0020124 (https://doi.org/10.1371%2Fjournal.pmed.0020124). PMC 1182327 (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182327). PMID 16060722 (https:// .ncbi.nlm.nih.gov/16060722). 6. John Ioannidis (http://www.hsph.harvard.edu/john-ioannidis/), Harvard School of Public Health. 7. Ioannidis, John P.A. (PDF). Archived from (PDF) on July 21, 2011. Retrieved November 4, 2010. 8. Freedman, David H. (2010). . Little, Brown & Co. ISBN 978-0-316-02378-8. "Born in 1965 in the United States to parents who were both physicians, he was raised in Athens, where he showed unusual aptitude in mathematics and snagged Greece's top student math prize." 9. . Department of Hygiene and Epidemiology, School of Medicine. Retrieved December 31, 2008. 10. Chrysopoulos, Philip (6 May 2020), , Greek Reporter 11. "John P.A. Ioannidis" (https://profiles.stanford.edu/john-ioannidis). Stanford Profiles. Retrieved 24 April 2020. 12. . STAT. 17 March 2020. Retrieved 26 April 2020.

https://en.wikipedia.org/wiki/John_Ioannidis 3/5 6.9.2020 John Ioannidis - Wikipedia 13. "John P. A. Ioannidis" (https://med.stanford.edu/profiles/john-ioannidis). CAP Profiles. Stanford School of Medicine. Retrieved May 24, 2014. 14. "Prevention Research Center" (http://prevention.stanford.edu/). Stanford School of Medicine. Retrieved May 24, 2014. 15. "John Ioannidis" (https://profiles.stanford.edu/john-ioannidis). Stanford. Retrieved 2020-04-21. 16. . Retrieved September 17, 2015. 17. Medicine - Stanford Prevention Research Center. (https://profiles.stanford.edu/john-ioannidis) John P.A. Ioannidis 18. Robert Lee Hotz, Hotz (September 14, 2007). "Most Science Studies Appear to Be Tainted By Sloppy Analysis" (https://www.wsj.com/articles/SB118972683557627104). Wall Street Journal. Dow Jones & Company. Retrieved 2016-12-05. 19. Ioannidis, John P. A.; Ntzani, Evangelia E.; Trikalinos, Thomas A.; Contopoulos-Ioannidis, Despina G. (November 1, 2001). "Replication validity of genetic association studies". Nature Genetics. 29 (3): 306–309. doi:10.1038/ng749 (https://doi.org/10.1038%2Fng749). ISSN 1061- 4036 (https://www.worldcat.org/issn/1061-4036). PMID 11600885 (https://pubmed.ncbi.nlm.nih.go v/11600885). 20. Ebrahim, Shanil; Sohani, Zahra N.; Montoya, Luis; Agarwal, Arnav; Thorlund, Kristian; Mills, Edward J.; Ioannidis, John P. A. (September 10, 2014). "REanalyses of randomized data" (https://doi.org/10.1001/jama.2014.9646). JAMA. 312 (10): 1024–1032. doi:10.1001/.2014.9646 (https://doi.org/10.1001%2Fjama.2014.9646). ISSN 0098-7484 (http s://www.worldcat.org/issn/0098-7484). PMID 25203082 (https://pubmed.ncbi.nlm.nih.gov/252030 82). 21. Button, Katherine S.; Ioannidis, John P. A.; Mokrysz, Claire; Nosek, Brian A.; Flint, Jonathan; Robinson, Emma S. J.; Munafò, Marcus R. (May 1, 2013). "Power failure: why small sample size undermines the reliability of neuroscience" (https://doi.org/10.1038/nrn3475). Nature Reviews Neuroscience. 14 (5): 365–376. doi:10.1038/nrn3475 (https://doi.org/10.1038%2Fnrn3475). ISSN 1471-003X (https://www.worldcat.org/issn/1471-003X). PMID 23571845 (https://pubmed.nc bi.nlm.nih.gov/23571845). 22. Ioannidis, John P. A. (2018-09-11). . JAMA. 320 (10): 969–970. doi:10.1001/jama.2018.11025 (htt ps://doi.org/10.1001%2Fjama.2018.11025). ISSN 0098-7484 (https://www.worldcat.org/issn/0098- 7484). 23. Begley, C. Glenn; Ioannidis, John P. A. (January 2, 2015). "Reproducibility in science: improving the standard for basic and preclinical research" (https://doi.org/10.1161/CIRCRESAHA.114.30381 9). Circulation Research. 116 (1): 116–126. doi:10.1161/CIRCRESAHA.114.303819 (https://doi.or g/10.1161%2FCIRCRESAHA.114.303819). ISSN 1524-4571 (https://www.worldcat.org/issn/1524- 4571). PMID 25552691 (https://pubmed.ncbi.nlm.nih.gov/25552691). 24. Ioannidis, John P. A. (October 21, 2014). "How to Make More Published Research True" (https:// www.ncbi.nlm.nih.gov/pmc/articles/PMC4204808). PLoS Med. 11 (10): e1001747. doi:10.1371/journal.pmed.1001747 (https://doi.org/10.1371%2Fjournal.pmed.1001747). PMC 4204808 (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204808). PMID 25334033 (http s://pubmed.ncbi.nlm.nih.gov/25334033). 25. Joan O’C. Hamilton (2012), , Stanford Magazine 26. Handbook of Meta-analysis in Ecology and Evolution, Princeton University Press, 2013, p. 240, ISBN 9780691137292 27. Fox, Justin (August 6, 2020). "The Great Covid-19 Versus Flu Comparison Revisited" (https://ww w.bloomberg.com/tosv2.html?vid=&uuid=10a6adc0-dbf9-11ea-945e-5f841c4a0955&url=L29waW 5pb24vYXJ0aWNsZXMvMjAyMC0wOC0wNi9yZXZpc2l0aW5nLWhvdy1jb3ZpZC0xOS1yYW5rcy 13aXRoLXNlYXNvbmFsLWZsdS1hbmQtMTkxOC1wYW5kZW1pYw==). Bloomberg Opinion. Retrieved 2020-08-11. 28. Ioannidis, John (2020-07-14). "The infection fatality rate of COVID-19 inferred from seroprevalence data" (https://www.medrxiv.org/content/10.1101/2020.05.13.20101253v3). medRxiv: 2020.05.13.20101253. doi:10.1101/2020.05.13.20101253 (https://doi.org/10.1101%2F2 020.05.13.20101253).

https://en.wikipedia.org/wiki/John_Ioannidis 4/5 6.9.2020 John Ioannidis - Wikipedia 29. Bendavid, Eran; Mulaney, Bianca; Sood, Neeraj; Shah, Soleil; Ling, Emilia; Bromley-Dulfano, Rebecca; Lai, Cara; Weissberg, Zoe; Saavedra-Walker, Rodrigo; Tedrow, James; Tversky, Dona (2020-04-30). "COVID-19 Antibody Seroprevalence in Santa Clara County, California" (https://ww w.medrxiv.org/content/10.1101/2020.04.14.20062463v2). medRxiv: 2020.04.14.20062463. doi:10.1101/2020.04.14.20062463 (https://doi.org/10.1101%2F2020.04.14.20062463). 30. Ting, Eric (2020-04-20). . SFGate. Retrieved 2020-08-08. 31. . BuzzFeed News. Retrieved 2020-07-26. 32. "How (Not) to Do an Antibody Survey for SARS-CoV-2" (https://www.the-scientist.com/news-opini on/how-not-to-do-an-antibody-survey-for-sars-cov-2-67488). The Scientist Magazine. Retrieved 2020-08-08. 33. Lee, Stephanie. . Buzzfeed. Retrieved 30 May 2020. 34. Landsverk, Gabby. . Business Insider. Retrieved 30 May 2020. 35. Ting, Eric (2020-05-12). . SF Gate. Retrieved 2020-08-08. 36. Freedman, David H. (2010-10-04). . The Atlantic. Retrieved 2020-08-26. 37. , The Atlantic, 2010 38. "Combating bad science: Metaphysicians" (https://www.economist.com/news/science-and-technol ogy/21598944-sloppy-researchers-beware-new-institute-has-you-its-sights-metaphysicians/). The Economist. 39. Ioannidis, J. (2015). "John Ioannidis: Uncompromising gentle maniac". BMJ. 351: h4992. doi:10.1136/bmj.h4992 (https://doi.org/10.1136%2Fbmj.h4992). ISSN 1756-1833 (https://www.wor ldcat.org/issn/1756-1833). PMID 26404555 (https://pubmed.ncbi.nlm.nih.gov/26404555). 40. "National Academy of Medicine Elects 85 New Members" (https://nam.edu/national-academy-of- medicine-elects-85-new-members/). National Academy of Medicine. 15 October 2018. Retrieved 2 May 2019. 41. . Office of Disease Prevention. Retrieved 22 April 2020.

External links

Prevention Research Center (http://prevention.stanford.edu/) Stanford School of Medicine Publications of John Ioannidis (https://med.stanford.edu/profiles/john-ioannidis?tab=publications) Stanford University Profile , Vol. 383, Issue 9912, pp. 166–75, 11 January 2014 John P A Ioannidis, Sander Greenland, Mark A Hlatky, Muin J Khoury, Malcolm R Macleod, David Moher, Kenneth F Schulzand Robert Tibshirani , meta-analytic database of schizophrenia gene studies of which Dr. Ioannidis helped create.

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