TY - JOUR A1 - Manchia, Mirko A1 - Adli, Mazda A1 - Akula, Nirmala A1 - Arda, Raffaella A1 - Aubry, Jean-Michel A1 - Backlund, Lena A1 - Banzato, Claudio E. M. A1 - Baune, Bernhard T. A1 - Bellivier, Frank A1 - Bengesser, Susanne A1 - Biernacka, Joanna M. A1 - Brichant-Petitjean, Clara A1 - Bui, Elise A1 - Calkin, Cynthia V. A1 - Cheng, Andrew Tai Ann A1 - Chillotti, Caterina A1 - Cichon, Sven A1 - Clark, Scott A1 - Czerski, Piotr M. A1 - Dantas, Clarissa A1 - Del Zompo, Maria A1 - DePaulo, J. Raymond A1 - Detera-Wadleigh, Sevilla D. A1 - Etain, Bruno A1 - Falkai, Peter A1 - Frisén, Louise A1 - Frye, Mark A. A1 - Fullerton, Jan A1 - Gard, Sébastien A1 - Garnham, Julie A1 - Goes, Fernando S. A1 - Grof, Paul A1 - Gruber, Oliver A1 - Hashimoto, Ryota A1 - Hauser, Joanna A1 - Heilbronner, Urs A1 - Hoban, Rebecca A1 - Hou, Liping A1 - Jamain, Stéphane A1 - Kahn, Jean-Pierre A1 - Kassem, Layla A1 - Kato, Tadafumi A1 - Kelsoe, John R. A1 - Kittel-Schneider, Sarah A1 - Kliwicki, Sebastian A1 - Kuo, Po-Hsiu A1 - Kusumi, Ichiro A1 - Laje, Gonzalo A1 - Lavebratt, Catharina A1 - Leboyer, Marion A1 - Leckband, Susan G. A1 - López Jaramillo, Carlos A. A1 - Maj, Mario A1 - Malafosse, Alain A1 - Martinsson, Lina A1 - Masui, Takuya A1 - Mitchell, Philip B. A1 - Mondimore, Frank A1 - Monteleone, Palmiero A1 - Nallet, Audrey A1 - Neuner, Maria A1 - Novák, Tomás A1 - O'Donovan, Claire A1 - Ösby, Urban A1 - Ozaki, Norio A1 - Perlis, Roy H. A1 - Pfennig, Andrea A1 - Potash, James B. A1 - Reich-Erkelenz, Daniela A1 - Reif, Andreas A1 - Reininghaus, Eva A1 - Richardson, Sara A1 - Rouleau, Guy A. A1 - Rybakowski, Janusz K. A1 - Schalling, Martin A1 - Schofield, Peter R. A1 - Schubert, Oliver K. A1 - Schweizer, Barbara A1 - Seemüller, Florian A1 - Grigoroiu-Serbanescu, Maria A1 - Severino, Giovanni A1 - Seymour, Lisa R. A1 - Slaney, Claire A1 - Smoller, Jordan W. A1 - Squassina, Alessio A1 - Stamm, Thomas A1 - Steele, Jo A1 - Stopkova, Pavla A1 - Tighe, Sarah K. A1 - Tortorella, Alfonso A1 - Turecki, Gustavo A1 - Wray, Naomi R. A1 - Wright, Adam A1 - Zandi, Peter P. A1 - Zilles, David A1 - Bauer, Michael A1 - Rietschel, Marcella A1 - McMahon, Francis J. A1 - Schulze, Thomas G. A1 - Alda, Martin T1 - Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report JF - PLoS ONE N2 - Objective: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study. Materials and Methods: Twenty-nine ConLiGen sites took part in a two-stage case-vignette rating procedure to examine inter-rater agreement [Kappa (\(\kappa\))] and reliability [intra-class correlation coefficient (ICC)] of lithium response. Annotated first-round vignettes and rating guidelines were circulated to expert research clinicians for training purposes between the two stages. Further, we analyzed the distributional properties of the treatment response scores available for 1,308 patients using mixture modeling. Results: Substantial and moderate agreement was shown across sites in the first and second sets of vignettes (\(\kappa\) = 0.66 and \(\kappa\) = 0.54, respectively), without significant improvement from training. However, definition of response using the A score as a quantitative trait and selecting cases with B criteria of 4 or less showed an improvement between the two stages (\(ICC_1 = 0.71\) and \(ICC_2 = 0.75\), respectively). Mixture modeling of score distribution indicated three subpopulations (full responders, partial responders, non responders). Conclusions: We identified two definitions of lithium response, one dichotomous and the other continuous, with moderate to substantial inter-rater agreement and reliability. Accurate phenotypic measurement of lithium response is crucial for the ongoing ConLiGen pharmacogenomic study. KW - age KW - observer agreement KW - prophylactic lithium KW - mapping susceptibility genes KW - mood disorders KW - onset KW - association KW - reliability KW - morality KW - illness Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130938 VL - 8 IS - 6 ER - TY - JOUR A1 - Lüke, Florian A1 - Haller, Florian A1 - Utpatel, Kirsten A1 - Krebs, Markus A1 - Meidenbauer, Norbert A1 - Scheiter, Alexander A1 - Spoerl, Silvia A1 - Heudobler, Daniel A1 - Sparrer, Daniela A1 - Kaiser, Ulrich A1 - Keil, Felix A1 - Schubart, Christoph A1 - Tögel, Lars A1 - Einhell, Sabine A1 - Dietmaier, Wolfgang A1 - Huss, Ralf A1 - Dintner, Sebastian A1 - Sommer, Sebastian A1 - Jordan, Frank A1 - Goebeler, Maria-Elisabeth A1 - Metz, Michaela A1 - Haake, Diana A1 - Scheytt, Mithun A1 - Gerhard-Hartmann, Elena A1 - Maurus, Katja A1 - Brändlein, Stephanie A1 - Rosenwald, Andreas A1 - Hartmann, Arndt A1 - Märkl, Bruno A1 - Einsele, Hermann A1 - Mackensen, Andreas A1 - Herr, Wolfgang A1 - Kunzmann, Volker A1 - Bargou, Ralf A1 - Beckmann, Matthias W. A1 - Pukrop, Tobias A1 - Trepel, Martin A1 - Evert, Matthias A1 - Claus, Rainer A1 - Kerscher, Alexander T1 - Identification of disparities in personalized cancer care — a joint approach of the German WERA consortium JF - Cancers N2 - (1) Background: molecular tumor boards (MTBs) are crucial instruments for discussing and allocating targeted therapies to suitable cancer patients based on genetic findings. Currently, limited evidence is available regarding the regional impact and the outreach component of MTBs; (2) Methods: we analyzed MTB patient data from four neighboring Bavarian tertiary care oncology centers in Würzburg, Erlangen, Regensburg, and Augsburg, together constituting the WERA Alliance. Absolute patient numbers and regional distribution across the WERA-wide catchment area were weighted with local population densities; (3) Results: the highest MTB patient numbers were found close to the four cancer centers. However, peaks in absolute patient numbers were also detected in more distant and rural areas. Moreover, weighting absolute numbers with local population density allowed for identifying so-called white spots—regions within our catchment that were relatively underrepresented in WERA MTBs; (4) Conclusions: investigating patient data from four neighboring cancer centers, we comprehensively assessed the regional impact of our MTBs. The results confirmed the success of existing collaborative structures with our regional partners. Additionally, our results help identifying potential white spots in providing precision oncology and help establishing a joint WERA-wide outreach strategy. KW - precision oncology KW - MTB KW - patient access KW - cancer care KW - outreach KW - real world data KW - outcomes research Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-290311 SN - 2072-6694 VL - 14 IS - 20 ER -