Dataset Information

Inference on moderation effect with third-variable effect analysis - application to explore the trend of racial disparity in oncotype dx test for breast cancer treatment.

ABSTRACT: Third variable effect refers to the effect from a third variable that explains an observed relationship between an exposure and an outcome. Depending on whether there is causal relationship, typically, a third variable takes the format of a mediator or a confounder. A moderation effect is a special case of the third-variable effect, where the moderator and other variables have an interactive effect on the outcome. In this paper, we extend the R package 'mma' for moderation analysis so that third-variable effects can be reported at different levels of the moderator. The proposed moderation analysis use tree-structured models to automatically detect moderation effects and can handle both categorical and numerical moderators. We propose algorithms and graphical methods for making inference on moderation effects and illustrate the method under different scenarios of moderation effects. Finally, we apply the proposed method to explore the trend of racial disparities in the use of Oncotype DX recurrence tests among breast cancer patients. We found that the unexplained racial differences in using the tests have decreased from 2010 to 2015.

SUBMITTER: Yu Q

PROVIDER: S-EPMC9635470 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Inference on moderation effect with third-variable effect analysis - application to explore the trend of racial disparity in oncotype dx test for breast cancer treatment.

Yu Qingzhao Q Zhang Lu L Wu Xiaocheng X Li Bin B

Journal of applied statistics 20210827 15

Third variable effect refers to the effect from a third variable that explains an observed relationship between an exposure and an outcome. Depending on whether there is causal relationship, typically, a third variable takes the format of a mediator or a confounder. A moderation effect is a special case of the third-variable effect, where the moderator and other variables have an interactive effect on the outcome. In this paper, we extend the R package 'mma' for moderation analysis so that third ...[more]

PMID: 36340886

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Project description:BackgroundThe Oncotype DX® Breast Recurrence Score assay can guide recommendations made to patients with oestrogen receptor positive (ER+), human epidermal growth factor receptor 2 negative (HER2-) breast cancer regarding post-surgery adjuvant therapy. Standard practice is to order the test in the post-operative setting on a specimen from the excised invasive carcinoma. However, it has been shown to be technically possible to perform the test on the diagnostic core biopsy. By testing the diagnostic core biopsy in the pre-operative setting, the wait for excised invasive carcinoma Recurrence Score results could be reduced allowing patients to be more accurately counselled regarding their treatment pathway sooner with any adjuvant treatment recommendations expedited. This would allow for more efficient streaming of follow up appointments. The aim of this study is to compare the impact on the patient treatment pathway of performing the Oncotype DX® test on the diagnostic core biopsy pre-operatively (intervention) as opposed to the excised invasive carcinoma (control).Methods and analysisThis parallel group randomised controlled trial aims to recruit 330 newly diagnosed patients with grade 2 or grade 3, ER+, HER2-, invasive intermediate risk early-stage breast cancer. Participants will be randomised 2:1 to the preoperative testing of the diagnostic core biopsy compared to the post-operative testing of the excision specimen. The primary endpoint is number of clinical touchpoints between treating team and patient from initial approach until offer and prescription of the first adjuvant treatment. Secondary endpoints include time from diagnosis to offer and prescription of the first adjuvant treatment, patient-reported anxiety scores and health cost impact analysis collected at baseline, following the post-operative clinic and following the offer of adjuvant treatment, and number of alterations in treatment sequence from original planned surgical treatment to neoadjuvant therapy.Trial registrationThe study was registered on ISRCTN (ISRCTN14337451) on the 16th August 2022.

Dataset Information

Inference on moderation effect with third-variable effect analysis - application to explore the trend of racial disparity in oncotype dx test for breast cancer treatment.

Publications

Inference on moderation effect with third-variable effect analysis - application to explore the trend of racial disparity in oncotype dx test for breast cancer treatment.

Similar Datasets

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