2021
DOI: 10.1080/10543406.2021.1998097
|View full text |Cite
|
Sign up to set email alerts
|

Integrating real world data and clinical trial results using survival data reconstruction and marginal moment-balancing weights

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 20 publications
0
3
0
Order By: Relevance
“…By balancing patient characteristics between trial and routine-care populations, MAIC-weighted analyses can identify survival differences between the trial and routine-care settings that confounding may obscure. 9 In our analysis, we observed no difference in survival after applying MAIC weights, indicating the lack of survival differences in the unweighted analysis was not due to confounding by patient characteristics. The similar survival outcomes before and after weighting may also reflect the strict indication for ICI therapy, that is, for aUC patients unfit for standard platinum-chemotherapy.…”
Section: Resultsmentioning
confidence: 49%
See 2 more Smart Citations
“…By balancing patient characteristics between trial and routine-care populations, MAIC-weighted analyses can identify survival differences between the trial and routine-care settings that confounding may obscure. 9 In our analysis, we observed no difference in survival after applying MAIC weights, indicating the lack of survival differences in the unweighted analysis was not due to confounding by patient characteristics. The similar survival outcomes before and after weighting may also reflect the strict indication for ICI therapy, that is, for aUC patients unfit for standard platinum-chemotherapy.…”
Section: Resultsmentioning
confidence: 49%
“…In this study, no meaningful differences in ICI treatment outcomes were observed between the pivotal trial cohort and a U.S.‐based real‐world cohort (12‐, 24‐month survival probability: 0.47 vs. 0.45, 0.31 vs. 0.31, respectively) before or after adjusting for cohort differences using MAIC weighting. By balancing patient characteristics between trial and routine‐care populations, MAIC‐weighted analyses can identify survival differences between the trial and routine‐care settings that confounding may obscure 9 . In our analysis, we observed no difference in survival after applying MAIC weights, indicating the lack of survival differences in the unweighted analysis was not due to confounding by patient characteristics.…”
Section: Discussionmentioning
confidence: 56%
See 1 more Smart Citation