Evangelia Kitsiou

Summary

Affiliation: University of Ioannina
Country: Greece

Publications

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    Ioannidis J. Non-replication and inconsistency in the genome-wide association setting. Hum Hered. 2007;64:203-13 pubmed
    ..A list of options is presented for consideration in each of these scenarios. ..
  2. Ioannidis J. Measuring co-authorship and networking-adjusted scientific impact. PLoS ONE. 2008;3:e2778 pubmed publisher
    ..Cautious adoption of adjustments for co-authorship and networking in scientific appraisals may offer incentives for more accountable co-authorship behaviour in published articles. ..
  3. Ioannidis J. Why most published research findings are false. PLoS Med. 2005;2:e124 pubmed
    ..In this essay, I discuss the implications of these problems for the conduct and interpretation of research. ..
  4. Ioannidis J, Trikalinos T. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. CMAJ. 2007;176:1091-6 pubmed
    ..Statistical conditions for employing asymmetry tests for publication bias are absent from most meta-analyses; yet, in medical journals these tests are performed often and interpreted erroneously. ..
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    Ioannidis J, Trikalinos T, Zintzaras E. Extreme between-study homogeneity in meta-analyses could offer useful insights. J Clin Epidemiol. 2006;59:1023-32 pubmed
    ..Extreme between-study homogeneity may provide useful insights about a meta-analysis and its constituent studies. ..
  6. Ioannidis J, Karassa F. The need to consider the wider agenda in systematic reviews and meta-analyses: breadth, timing, and depth of the evidence. BMJ. 2010;341:c4875 pubmed publisher
  7. Pereira T, Patsopoulos N, Salanti G, Ioannidis J. Critical interpretation of Cochran's Q test depends on power and prior assumptions about heterogeneity. Res Synth Methods. 2010;1:149-61 pubmed publisher
    ..Statistical heterogeneity in meta-analyses should be cautiously interpreted considering the power to detect a specific τ(2) and prior assumptions about the presence of heterogeneity. Copyright © 2010 John Wiley & Sons, Ltd. ..
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    Ioannidis J, Vlachoyiannopoulos P, Haidich A, Medsger T, Lucas M, Michet C, et al. Mortality in systemic sclerosis: an international meta-analysis of individual patient data. Am J Med. 2005;118:2-10 pubmed
    ..Systemic sclerosis confers a high mortality risk, but there is considerable heterogeneity across settings. Internal organ involvement and anti-topoisomerase I antibodies are important determinants of mortality. ..
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    Ioannidis J, Vassiliou V, Moutsopoulos H. Long-term risk of mortality and lymphoproliferative disease and predictive classification of primary Sjögren's syndrome. Arthritis Rheum. 2002;46:741-7 pubmed
    ..The presence of palpable purpura and low C4 levels at the first visit adequately distinguishes high-risk patients (type I primary SS) from patients with an uncomplicated disease course (type II [low-risk] primary SS). ..

More Information

Publications22

  1. Ioannidis J. Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses. CMAJ. 2009;181:488-93 pubmed publisher
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    Ioannidis J. Genetic associations: false or true?. Trends Mol Med. 2003;9:135-8 pubmed
    ..However, a sizeable proportion of identified genetic associations are probably true. Meta-analysis, a rigorous, comprehensive, quantitative synthesis of all the available data, might help us to separate the true from the false. ..
  3. Ioannidis J. Prediction of cardiovascular disease outcomes and established cardiovascular risk factors by genome-wide association markers. Circ Cardiovasc Genet. 2009;2:7-15 pubmed publisher
    ..Clinical use of such markers currently would be premature. ..
  4. Ioannidis J, Thomas G, Daly M. Validating, augmenting and refining genome-wide association signals. Nat Rev Genet. 2009;10:318-29 pubmed publisher
    ..Even in cases for which replication proves that an effect exists, confident localization of the causal variant often remains elusive. ..
  5. Ioannidis J, Allison D, Ball C, Coulibaly I, Cui X, Culhane A, et al. Repeatability of published microarray gene expression analyses. Nat Genet. 2009;41:149-55 pubmed publisher
    ..Repeatability of published microarray studies is apparently limited. More strict publication rules enforcing public data availability and explicit description of data processing and analysis should be considered. ..
  6. Ioannidis J. Why most discovered true associations are inflated. Epidemiology. 2008;19:640-8 pubmed publisher
  7. Ioannidis J. Effect of formal statistical significance on the credibility of observational associations. Am J Epidemiol. 2008;168:374-83; discussion 384-90 pubmed publisher
    ..Bayes factors may be used routinely to interpret "significant" associations. ..
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    Ioannidis J. Limitations are not properly acknowledged in the scientific literature. J Clin Epidemiol. 2007;60:324-9 pubmed
    ..To facilitate this, journals should give better guidance and promote the discussion of limitations. Otherwise, we are facing an important loss of context for the scientific literature. ..
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    Ioannidis J. Contradicted and initially stronger effects in highly cited clinical research. JAMA. 2005;294:218-28 pubmed
    ..Controversies are most common with highly cited nonrandomized studies, but even the most highly cited randomized trials may be challenged and refuted over time, especially small ones. ..
  10. Ioannidis J. Calibration of credibility of agnostic genome-wide associations. Am J Med Genet B Neuropsychiatr Genet. 2008;147B:964-72 pubmed publisher
    ..Credibility calibration may be used in conjunction with qualitative criteria for the appraisal of the cumulative evidence that take into consideration the amount, consistency, and protection from bias in the data. ..
  11. Patsopoulos N, Ioannidis J. Susceptibility variants for rheumatoid arthritis in the TRAF1-C5 and 6q23 loci: a meta-analysis. Ann Rheum Dis. 2010;69:561-6 pubmed publisher
    ..Furthermore, these markers may not be the true causative loci but rather be in linkage disequilibrium with the true ones. ..
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    Ioannidis J, Contopoulos Ioannidis D, Rosenberg P, Goedert J, De Rossi A, Espanol T, et al. Effects of CCR5-delta32 and CCR2-64I alleles on disease progression of perinatally HIV-1-infected children: an international meta-analysis. AIDS. 2003;17:1631-8 pubmed
    ..The CCR5-delta32 and CCR2-64I alleles are associated with a decreased risk of death among perinatally infected children, but only for the first years of life. ..
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    Ioannidis J, Ralston S, Bennett S, Brandi M, Grinberg D, Karassa F, et al. Differential genetic effects of ESR1 gene polymorphisms on osteoporosis outcomes. JAMA. 2004;292:2105-14 pubmed
    ..Our study demonstrates the value of adequately powered studies with standardized genotyping and clinical outcomes in defining effects of common genetic variants on complex diseases. ..