Automated Author ProfileChan, Keith
Chan, Keith
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: 4.0 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Because only one head-to-head randomized trial of biologics for moderate-to-severe UC has been performed, indirect treatment comparisons remain important. This systematic review and network meta-analysis examined efficacy and safety of biologics and tofacitinib for moderate-to-severe UC, using vedolizumab as reference. Relevant studies (N = 19) of vedolizumab, adalimumab, infliximab, golimumab, ustekinumab, and tofacitinib were identified. Study design differences were addressed by assessing efficacy outcomes conditional on response at maintenance initiation. Primary analysis used fixed-effect models to estimate odds ratios for efficacy and safety endpoints. Compared with vedolizumab 300 mg, adalimumab 160/80 mg was associated with less clinical remission (odds ratio, 0.69 [95% credible interval, 0.54–0.88]), and infliximab 5 mg/kg was associated with more clinical remission (1.67 [1.16–2.42]) and response (1.63 [1.15–2.30]). Adalimumab 40 mg, golimumab 50 mg, and ustekinumab 90 mg Q12W had significantly lower clinical remission rates during maintenance (0.62 [0.45–0.86], 0.55 [0.32–0.95], and 0.59 [0.35–0.99]) versus vedolizumab 300 mg Q8W. Response results were similar. Tofacitinib 10 mg had the highest maintenance treatment efficacy estimates and highest infection risk. Network meta-analysis and novel integrated benefit-risk analysis suggest a potentially favorable efficacy-safety balance for vedolizumab vs adalimumab and other advanced UC therapies.
Authors
- Jairath, Vipul ;
- Chan, Keith ;
- Lasch, Karen ;
- Keeping, Sam ;
- Agboton, Christian ;
- Blake, Aimee ;
- Patel, Haridarshan
Because only one head-to-head randomized trial of biologics for moderate-to-severe UC has been performed, indirect treatment comparisons remain important. This systematic review and network meta-analysis examined efficacy and safety of biologics and tofacitinib for moderate-to-severe UC, using vedolizumab as reference. Relevant studies (N = 19) of vedolizumab, adalimumab, infliximab, golimumab, ustekinumab, and tofacitinib were identified. Study design differences were addressed by assessing efficacy outcomes conditional on response at maintenance initiation. Primary analysis used fixed-effect models to estimate odds ratios for efficacy and safety endpoints. Compared with vedolizumab 300 mg, adalimumab 160/80 mg was associated with less clinical remission (odds ratio, 0.69 [95% credible interval, 0.54–0.88]), and infliximab 5 mg/kg was associated with more clinical remission (1.67 [1.16–2.42]) and response (1.63 [1.15–2.30]). Adalimumab 40 mg, golimumab 50 mg, and ustekinumab 90 mg Q12W had significantly lower clinical remission rates during maintenance (0.62 [0.45–0.86], 0.55 [0.32–0.95], and 0.59 [0.35–0.99]) versus vedolizumab 300 mg Q8W. Response results were similar. Tofacitinib 10 mg had the highest maintenance treatment efficacy estimates and highest infection risk. Network meta-analysis and novel integrated benefit-risk analysis suggest a potentially favorable efficacy-safety balance for vedolizumab vs adalimumab and other advanced UC therapies.
Authors
- Jairath, Vipul ;
- Chan, Keith ;
- Lasch, Karen ;
- Keeping, Sam ;
- Agboton, Christian ;
- Blake, Aimee ;
- Patel, Haridarshan
Objectives: Because only one head-to-head randomized trial of biologics for moderate-to-severe UC has been performed, indirect treatment comparisons remain important. This systematic review and network meta-analysis examined efficacy and safety of biologics and tofacitinib for moderate-to-severe UC, using vedolizumab as reference. Methods: Relevant studies (N = 19) of vedolizumab, adalimumab, infliximab, golimumab, ustekinumab, and tofacitinib were identified. Study design differences were addressed by assessing efficacy outcomes conditional on response at maintenance initiation. Primary analysis used fixed-effect models to estimate odds ratios for efficacy and safety endpoints. Results: Compared with vedolizumab 300 mg, adalimumab 160/80 mg was associated with less clinical remission (odds ratio, 0.69 [95% credible interval, 0.54–0.88]), and infliximab 5 mg/kg was associated with more clinical remission (1.67 [1.16–2.42]) and response (1.63 [1.15–2.30]). Adalimumab 40 mg, golimumab 50 mg, and ustekinumab 90 mg Q12W had significantly lower clinical remission rates during maintenance (0.62 [0.45–0.86], 0.55 [0.32–0.95], and 0.59 [0.35–0.99]) versus vedolizumab 300 mg Q8W. Response results were similar. Tofacitinib 10 mg had the highest maintenance treatment efficacy estimates and highest infection risk. Conclusion: Network meta-analysis and novel integrated benefit-risk analysis suggest a potentially favorable efficacy-safety balance for vedolizumab vs adalimumab and other advanced UC therapies.
Authors
- Jairath, Vipul ;
- Chan, Keith ;
- Lasch, Karen ;
- Keeping, Sam ;
- Agboton, Christian ;
- Blake, Aimee ;
- Patel, Haridarshan
Additional file 3: Table S3. Pre-processed results of global gene expression microarray.
Authors
- Furuya, Hideki ;
- Kazukuni Hayashi ;
- Shimizu, Yoshiko ;
- Nari Kim ;
- Yutaro Tsukikawa ;
- Runpu Chen ;
- Yijun Sun ;
- Chan, Owen ;
- Pagano, Ian ;
- Peres, Rafael ;
- Kanani Hokutan ;
- Igari, Fumie ;
- Chan, Keith ;
- Rosser, Charles
Additional file 3: Table S3. Pre-processed results of global gene expression microarray.
Authors
- Furuya, Hideki ;
- Kazukuni Hayashi ;
- Shimizu, Yoshiko ;
- Nari Kim ;
- Yutaro Tsukikawa ;
- Runpu Chen ;
- Yijun Sun ;
- Chan, Owen ;
- Pagano, Ian ;
- Peres, Rafael ;
- Kanani Hokutan ;
- Igari, Fumie ;
- Chan, Keith ;
- Rosser, Charles