Evrenoglou T, Metelli S, Thomas JS, Siafis S, Turner RM, Leucht S, Chaimani A. Sharing information across patient subgroups to draw conclusions from sparse treatment networks. Biometrical Journal 2024 Full text

Cheufra C, Tsokani S, Kontouli KM, Boutron I, Chaimani A. Synthesis methods used to combine observational studies and randomised trials in published meta-analyses. Systematic Reviews ­2024 Full text

Bouvier F, Chaimani A, Peyrot E, Gueyffier F, Grenet G, Porcher R. Estimating individualized treatment effects using an individual participant data meta-analysis. BMC Med Res Methodol 2024 Full text

Davidson M, Evrenoglou T, Grana C, Chaimani A, Boutron I. Comparison of effect estimates between preprints and peer-reviewed journal articles of COVID-19 trials. BMC Med Res Methodol 2024 Full text

Nikolakopoulou A, Chaimani A, Furukawa TA, Papakonstantinou T, Rücker G, Schwarzer G. When does the placebo effect have an impact on network meta-analysis results? BMJ Evidence-Based Medicine 2024 Full text

Metelli S, Mavridis D, Créquit P, Chaimani A. Bayesian model-based outlier detection in network meta-analysis. Journal of the Royal Statistical Society Series A 2023 Full text Code

Davidson M, Evrenoglou T, Grana C, Chaimani A, Boutron I. No evidence of important difference in summary treatment effects between COVID-19 preprints and peer-reviewed publications: a meta-epidemiological study. J Clin Epidemiol 2023 Full text

Nikolakopoulou A, Chaimani A, Furukawa TA, Papakonstantinou T, Rücker G, Schwarzer G. When does the placebo effect have an impact on network meta-analysis results? BMJ Evidence-Based Medicine 2023 Full text

Cheufra C, Tsokani S, Kontouli KM, Boutron I, Chaimani A. Empirical evaluation of the methods used in systematic reviews including observational studies and randomized trials. Journal of Clinical Epidemiology ­2023 Full text

Evrenoglou T, Boutron I, Seitidis G, Ghosn L, Chaimani A. metaCOVID: A web-application for living meta-analyses of COVID-19 trials. Research Synthesis Methods 2023 Full text Application

Mavridis D, Nikolakopoulou A, Moustaki I, Chaimani A, Porcher R, et al. Considering multiple outcomes with different weights informed the hierarchy of interventions in network meta-analysis. Journal of Clinical Epidemiology 2023; 154: 188-196 Full text

Evrenoglou T, White IR, Afach S, Mavridis D, Chaimani A. Network meta-analysis of rare events using penalized likelihood regression. Statistics in Medicine 2022. Full text Code

Leucht S*, Chaimani A*, Krause M, Schneider–Thoma J, Wang D, Dong S, et al. The response of subgroups of patients with schizophrenia to different antipsychotic drugs: a systematic review and meta–analysis. Lancet Psychiatry 2022. Full text

Charitakis E, Metelli S, Karlsson LO, Antoniadis AP, Rizas K, Liuba I, Almroth H, Jönsson AH, Schweiler J, Tsartsalis D, Sideris S, Dragioti E, Fragakis N, Chaimani A. Comparing efficacy and safety in catheter ablation strategies for atrial fibrillation: a network meta-analysis of randomized controlled trials. BMC Medicine 2022; 20(1):1-13. Full text

Guelimi R, Metelli S, Sbidian E, van Zuuren EJ, Flohr C, Leonardi-Bee J, Le Cleach L. Network meta-analysis: methodological points for readers, authors and reviewers. British Journal of Dermatology 2022. Full text

Evrenoglou, T. Stratification according to disease severity can better reveal the relative effectiveness of treatments for acne vulgaris. Br J Dermatol 2022. Full text

Davidson M, Menon S, Chaimani A, Evrenoglou T, Ghosn L, Grana C, et al. Interleukin‐1 blocking agents for treating COVID‐19. Cochrane Database of Systematic Reviews 2022;1(1):CD015308. Full text

Bouvier FB, Chaimani A, Gueyffier F, Grenet G, Porcher R. Estimating individualized treatment effects using individual participant data meta-analysis. HAL Open Science 2022. Full text

Guelimi R, Metelli S, Sbidian E, van Zuuren EJ, Flohr C, Leonardi-Bee J, Le Cleach L. Network meta-analysis: methodological points for readers, authors and reviewers. British Journal of Dermatology 2022;186(6):917-918. Full text

Chaimani A, Porcher R, Sbidian E, Mavridis D. A Markov Chain approach for ranking treatments in network meta–analysis. Statistics in Medicine 2021; 40(2):451–464. Full text Code

Ghosn L, Chaimani A, Evrenoglou T, Davidson M, Graña C, Schmucker C, et al. Interleukin‐6 blocking agents for treating COVID‐19: a living systematic review. Cochrane Database of Systematic Reviews 2021. Full text

Veroniki AA, Tsokani S, Zevgiti S, Pagkalidou I, Kontouli KM, Ambarcioglu P, et al. Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network meta–analysis. Systematic Reviews 2021; 10:246. Full text

Nikolakopoulou A, Chaimani A. More than words: Novel visualizations for evidence synthesis. Research Synthesis Methods 2021; 12(1):2–3. Full text

Luo Y, Ostinelli EG, Sahker E, Chaimani A, Kataoka Y, Ogawa Y, et al. Antidepressant prescriptions have not fully reflected evolving evidence from cumulative network meta–analyses and guideline recommendations. Journal of Clinical Epidemiology 2021;133:14-23. Full text

Afach S, Chaimani A, Evrenoglou T, Penso L, Brouste E, Sbidian E, Le Cleach L. Meta–analysis results do not reflect the real safety of biologics in psoriasis. British Journal of Dermatology 2021;184(3):415-424. Full text

Afach S, Evrenoglou T, Oubaya N, Le Cleach L, Sbidian E. Most randomized controlled trials for psoriasis used placebo comparators despite the availability of effective treatments. Journal of Clinical Epidemiology 2021; 133:72-79. Full text

Metelli S, Chaimani A. Challenges in meta-analyses with observational studies. Evidence-Based Mental Health, 23 (2), 83-87, 2020. Full text

Boutron I, Chaimani A, Meerpohl JJ, Hrobjartsson A, Devane D, Rada G, et al. The COVID–NMA Project: Building an Evidence Ecosystem for the COVID–19 Pandemic. Annals of Internal Medicine 2020; 173(12):1015–1017. Full text

Nikolakopoulou A, Higgins JPT, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M, Salanti G. CINeMA: an approach for assessing confidence in the results of a network meta–analysis. Plos Medicine 2020; 17(4):e1003082. Full text

Kataoka Y, Luo Y, Chaimani A, Onishi A, Kimachi M, Tsujimoto Y, et al. Cumulative network meta–analyses, practice guidelines, and actual prescriptions for postmenopausal osteoporosis: a meta–epidemiological study. Archives of Osteoporosis 2020; 15(1):1–10. Full text

Chaimani A. Conduct and reporting of individual participant data network meta–analyses need improvement. BMC Medicine 2020; 18(1):1–2. Full text

Sbidian E, Chaimani A, Afach S, Doney L, Dressler C, Hua C, et al. Systemic pharmacological treatments for chronic plaque psoriasis: a network meta‐analysis. Cochrane Database of Systematic Reviews 2020. Full text

Vo TT, Porcher R, Chaimani A, Vansteelandt S. A novel approach for identifying and addressing case–mix heterogeneity in individual participant data meta–analysis. Research Synthesis Methods 2019; 10:582–596. Full text

Metelli S, Heard NA. On Bayesian New Edge Prediction and Anomaly Detection in Computer Networks. The Annals of Applied Statistics, 13 (4), 2586-2610, 2019.

Leucht S*, Chaimani A*, Mavridis D, Leucht C, Huhn M, Helfer B, Samara M, Cipriani A, Geddes JR, Davis JM. Where do drug–response and placebo–response disconnect in acute phase antipsychotic drug trials in schizophrenia? Meta–regression analysis. Neuropsychopharmacology 2019; 44(11):1955–1966. Full text

Claudiani S, Metelli S, Kamvar R, Szydlo R, Byrne J, Gallipoli P, Bulley, Horne GA, Rothwell, Copland M, Clark RE, Khorashad JS, Foroni L, Milojkovic D, Apperley JF. Introducing a Predictive Score for Successful Treatment Free Remission in Chronic Myeloid Leukemia (CML). Blood, 134, 26, 2019.

Chaimani A, Mavridis D, Higgins JPT, Salanti G, White I. Allowing for informative missingness in aggregate data meta–analysis with continuous or binary outcomes: extensions to metamiss. The Stata Journal 2018; 18(3): 716–740. Full text

Schwingshackl L, Buyken A, Chaimani A. Network meta-analysis reaches nutrition research. European Journal of Nutrition 2018; 1–3. Full text

Mavridis D, Salanti G, Furukawa TA, Cipriani A, Chaimani A, White IR. Allowing for uncertainty due to missing and LOCF imputed outcomes in meta–analysis. Statistics in Medicine 2018; 38(5): 720–737. Full text

Cipriani A*, Furukawa TA*, Salanti G*, Chaimani A, Atkinson LZ, Ogawa Y, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta–analysis. The Lancet 2018; 391:1357– 1366. Full text

Salanti G, Chaimani A, Furukawa TA, Higgins J, Ogawa Y, Cipriani A, Egger M. Impact of placebo arms on outcomes in antidepressant trials: systematic review and meta–regression analysis. International Journal of Epidemiology 2018; 47(5):1454–1464. Full text

Schwingshackl L, Chaimani A, Hoffman G, Schwedhelm C, Boeing H. A network meta–analysis on the comparative efficacy of different dietary approaches on glycaemic control in patients with type 2 diabetes mellitus. European Journal of Epidemiology 2018; 1:14. Full text

Papakonstantinou T, Nikolakopoulou A, Rucker G, Chaimani A, Schwarzer G, Egger M, Salanti G. Estimating the contribution of studies in network meta-analysis: paths, flows and streams. F1000Research 2018; 7. Full text

Chaimani A, Caldwell DM, Li T, Higgins JPT, Salanti G. Additional considerations are required when preparing a protocol for a systematic review with multiple interventions. Journal of Clinical Epidemiology 2017; 83:65–74. Full text

Chaimani A, Salanti G, Leucht S, Geddes JR, Cipriani A. Common pitfalls and mistakes in the set up, analysis and interpretation of results in network meta–analysis: what clinicians should look for in a published article. Evidence–Based Mental Health 2017; 20(3):88–94. Full text

Schwingshackl L, Boeing H, Stelmach–Mardas M, Gottschald M, Dietrich S, Hoffmann G, Chaimani A. Dietary supplements and risk of cause–specific death, cardiovascular disease, and cancer: a systematic review and meta–analysis of primary prevention trials. Advances in Nutrition 2017; 8(1):27–39. Full text

Créquit P, Chaimani A, Yavchitz A, Attiche N, Cadranel J, Trinquart L, Ravaud P. Comparative efficacy and safety of second–line treatments for advanced non–small cell lung cancer with wild– type or unknown status for epidermal growth factor receptor: a systematic review and network
meta–analysis. BMC Medicine 2017; 15(1): 193. Full text

Brunoni AR, Chaimani A, Moffa AH, Gattaz WF, Daskalakis ZJ, Carvalho AF. Repetitive transcranial magnetic stimulation for the acute treatment of major depressive episodes: a network meta–analysis. JAMA Psychiatry 2017; 74(2):143–152. Full text

Leucht S, Leucht C, Huhn M, Chaimani A, Mavridis D, Helfer B, et al. Sixty years of placebo– controlled antipsychotic drug trials in acute schizophrenia: systematic review, Bayesian meta–analysis and meta–regression of efficacy predictors. American Journal of Psychiatry 2017; 174(10):927–942. Full text

Petropoulou M, Nikolakopoulou A, Veroniki AA, Rios P, Vafaei A, Zarin W, Giannatsi M, Sullivan S, Tricco AC, Chaimani A, Egger M, Salanti G. Bibiographic study showed improving statistical methodology of network meta–analyses published between 1999 and 2015. Journal of Clinical Epidemiology 2017; 82:28–28. Full text

Zarin W, Veroniki AA, Nincic V, Vafaei A, Reynen E, Motiwala SS, Antony J, Sullivan SM, Rios P, Daly C, Ewusie J, Petropoulou M, Nikolakopoulou A, Chaimani A, Salanti G, Straus SE, Tricco A. Characteristics and knowledge synthesis approach for 456 network meta–analyses: a scoping review. BMC Medicine 2017; 15(1):3. Full text