Automated Author ProfileKapetanakis, Venediktos
Kapetanakis, Venediktos
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.1 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Figure S1. Model schematic.Curves provided in this image are hypothetical to illustrate how health state occupancy is determined. OS: overall survival; PD: progressed disease; PF: progression free; PFS: progression-free survival.Figure S2. Parametric survival model extrapolations for OS (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; OS: overall survival.Figure S3. Parametric survival model extrapolations for OS (BSC). BSC: best supportive care; KM: Kaplan-Meier; OS: overall survival.Figure S4. Log-cumulative hazard plot for OS. BSC: best supportive care; OS: overall survival.Figure S5. Standard parametric survival model extrapolations for PFS (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S6. Standard parametric survival model extrapolations for PFS (BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S7. Spline-based parametric survival model extrapolations for PFS (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S8. Spline-based parametric survival model extrapolations for PFS (BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S9. Log-cumulative hazard plot for PFS. BSC: best supportive care; PFS: progression-free survival.Figure S10. Extrapolations for TTD (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; TTD: time to treatment discontinuation.Table S1. Statistical goodness-of-fit scores for OS.Table S2. Statistical goodness-of-fit scores for PFS.Table S3. Model parameters.
Authors
- Critchlow, Simone ;
- Bullement, Ash ;
- Crabb, Simon ;
- Jones, Robert ;
- Christoforou, Katerina ;
- Amin, Amerah ;
- Xiao, Ying ;
- Kapetanakis, Venediktos ;
- gnes Benedict, A´ ;
- Chang, Jane ;
- Kearney, Mairead ;
- Eccleston, Anthony
Figure S1. Model schematic.Curves provided in this image are hypothetical to illustrate how health state occupancy is determined. OS: overall survival; PD: progressed disease; PF: progression free; PFS: progression-free survival.Figure S2. Parametric survival model extrapolations for OS (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; OS: overall survival.Figure S3. Parametric survival model extrapolations for OS (BSC). BSC: best supportive care; KM: Kaplan-Meier; OS: overall survival.Figure S4. Log-cumulative hazard plot for OS. BSC: best supportive care; OS: overall survival.Figure S5. Standard parametric survival model extrapolations for PFS (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S6. Standard parametric survival model extrapolations for PFS (BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S7. Spline-based parametric survival model extrapolations for PFS (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S8. Spline-based parametric survival model extrapolations for PFS (BSC). BSC: best supportive care; KM: Kaplan-Meier; PFS: progression-free survival.Figure S9. Log-cumulative hazard plot for PFS. BSC: best supportive care; PFS: progression-free survival.Figure S10. Extrapolations for TTD (avelumab + BSC). BSC: best supportive care; KM: Kaplan-Meier; TTD: time to treatment discontinuation.Table S1. Statistical goodness-of-fit scores for OS.Table S2. Statistical goodness-of-fit scores for PFS.Table S3. Model parameters.
Authors
- Critchlow, Simone ;
- Bullement, Ash ;
- Crabb, Simon ;
- Jones, Robert ;
- Christoforou, Katerina ;
- Amin, Amerah ;
- Xiao, Ying ;
- Kapetanakis, Venediktos ;
- gnes Benedict, A´ ;
- Chang, Jane ;
- Kearney, Mairead ;
- Eccleston, Anthony
Supplementary MethodsSupplementary ResultsSupplemental Table 1. Naïve and population-adjusted estimates of ORR and CBR for amivantamab: sensitivity analysesSupplemental Figure 1. Histogram of the weights associated with matching in the a) base case analysis; b) adjusting for additional factors and c) using the CHRYSALIS primary efficacy population (n = 81)Supplemental Figure 2. Sensitivity analysis results of PFS of amivantamab versus mobocertinib a) adjusting for additional factors and b) using the CHRYSALIS primary efficacy population (n = 81)Supplemental Figure 3. Sensitivity analysis results of OS of amivantamab versus mobocertinib a) adjusting for additional factors and b) using the CHRYSALIS primary efficacy population (n = 81)Supplemental Figure 3. Sensitivity Analysis: Population-adjusted safety outcomes for amivantamab in the safety population (matched for an additional four factors) and mobocertinib in the PPP populationSupplemental Figure 4. Sensitivity Analysis: Population-adjusted safety outcomes for amivantamab in the n = 81 population and mobocertinib in the PPP population
Authors
- Min Kim, Tae ;
- Girard, Nicolas ;
- Leighl, Natasha B. ;
- Sabari, Joshua ;
- Rahhali, Nora ;
- A Schioppa, Claudio ;
- Diels, Joris ;
- Sermon, Jan ;
- Chandler, Conor ;
- Kapetanakis, Venediktos ;
- Jain, Ruhee ;
- Li, Tracy ;
- Sanden, Suzy Van
Supplementary MethodsSupplementary ResultsSupplemental Table 1. Naïve and population-adjusted estimates of ORR and CBR for amivantamab: sensitivity analysesSupplemental Figure 1. Histogram of the weights associated with matching in the a) base case analysis; b) adjusting for additional factors and c) using the CHRYSALIS primary efficacy population (n = 81)Supplemental Figure 2. Sensitivity analysis results of PFS of amivantamab versus mobocertinib a) adjusting for additional factors and b) using the CHRYSALIS primary efficacy population (n = 81)Supplemental Figure 3. Sensitivity analysis results of OS of amivantamab versus mobocertinib a) adjusting for additional factors and b) using the CHRYSALIS primary efficacy population (n = 81)Supplemental Figure 3. Sensitivity Analysis: Population-adjusted safety outcomes for amivantamab in the safety population (matched for an additional four factors) and mobocertinib in the PPP populationSupplemental Figure 4. Sensitivity Analysis: Population-adjusted safety outcomes for amivantamab in the n = 81 population and mobocertinib in the PPP population
Authors
- Min Kim, Tae ;
- Girard, Nicolas ;
- Leighl, Natasha B. ;
- Sabari, Joshua ;
- Rahhali, Nora ;
- A Schioppa, Claudio ;
- Diels, Joris ;
- Sermon, Jan ;
- Chandler, Conor ;
- Kapetanakis, Venediktos ;
- Jain, Ruhee ;
- Li, Tracy ;
- Sanden, Suzy Van