Automated Author Profile

Damato, B.

Current S-Index

0.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Supplementary Material for: The University of California, San Francisco Documentation System for Retinoblastoma: Preparing to Improve Staging Methods for This Disease

Background/Aims: Current retinoblastoma staging systems do not adequately describe the disease, especially in eyes with multiple tumors. The aims of this study were to develop methods for documenting individual tumors and to score disease burden over time. Methods: A coding system was devised to describe each tumor according to affected eye, meridian, anteroposterior location, activity, growth pattern, type of seed, and treatment. A scoring system for quantifying disease burden was developed, taking account of tumor number, size, spread, and secondary effects on the eye. Results: Our coding system allowed contemporaneous tumor documentation, producing datasets that enabled generation of fundus diagrams, Kaplan-Meier curves, and tables summarizing disease progression in individual tumors and eyes. Our data showed disparities between ocular and tumor documentation, e.g., indicating earlier tumor development in the left eye but younger age at presentation if disease was worse in the right eye. Actuarial rates of local treatment failure were lower when individual tumors were analyzed than when data were reported in terms of whole eyes. Conclusion: Our methods for documenting individual retinoblastomas have facilitated the review of patients’ progress in our routine practice and may provide data that could be used to refine retinoblastoma classifications in the future.

Authors

  • Damato, B. ;
  • Afshar, A.R. ;
  • Everett, L. ;
  • Banerjee, A. ;
  • Hetts, S.W.
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.65309512018

Supplementary Material for: The University of California, San Francisco Documentation System for Retinoblastoma: Preparing to Improve Staging Methods for This Disease

Background/Aims: Current retinoblastoma staging systems do not adequately describe the disease, especially in eyes with multiple tumors. The aims of this study were to develop methods for documenting individual tumors and to score disease burden over time. Methods: A coding system was devised to describe each tumor according to affected eye, meridian, anteroposterior location, activity, growth pattern, type of seed, and treatment. A scoring system for quantifying disease burden was developed, taking account of tumor number, size, spread, and secondary effects on the eye. Results: Our coding system allowed contemporaneous tumor documentation, producing datasets that enabled generation of fundus diagrams, Kaplan-Meier curves, and tables summarizing disease progression in individual tumors and eyes. Our data showed disparities between ocular and tumor documentation, e.g., indicating earlier tumor development in the left eye but younger age at presentation if disease was worse in the right eye. Actuarial rates of local treatment failure were lower when individual tumors were analyzed than when data were reported in terms of whole eyes. Conclusion: Our methods for documenting individual retinoblastomas have facilitated the review of patients’ progress in our routine practice and may provide data that could be used to refine retinoblastoma classifications in the future.

Authors

  • Damato, B. ;
  • Afshar, A.R. ;
  • Everett, L. ;
  • Banerjee, A. ;
  • Hetts, S.W.
0 Citations0 Mentions85% FAIR0.3 Dataset Index
10.6084/m9.figshare.6530951.v12018