scholarly journals It Matters: Reference Indicator Selection in Measurement Invariance Tests

2020 ◽  
pp. 001316442092656
Author(s):  
Yutian T. Thompson ◽  
Hairong Song ◽  
Dexin Shi ◽  
Zhengkui Liu
Keyword(s):  
Measurement Invariance ◽  
Real World ◽  
Quantitative Methods ◽  
Simulated Data ◽  
Selection Methods ◽  
Real World Data ◽  
Large Sample ◽  
World Data ◽  
Follow Up Study

Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to be an RI. Thus, Study 1 was designed to address this issue in various conditions using simulated data. As a follow-up, Study 2 further investigated the advantages/disadvantages of using RI-based approaches for MI testing in comparison with non-RI-based approaches. Altogether, the two studies provided a solid examination on how RI matters in MI tests. In addition, a large sample of real-world data was used to empirically compare the uses of the RI selection methods as well as the RI-based and non-RI-based approaches for MI testing. In the end, we offered a discussion on all these methods, followed by suggestions and recommendations for applied researchers.

928-P: Dulaglutide Has Higher Adherence and Persistence than Semaglutide and Exenatide QW: 6-Month Follow-Up from U.S. Real-World Data

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 928-P
Author(s):  
REEMA MODY ◽  
MARIA YU ◽  
BAL K. NEPAL ◽  
MANIGE KONIG ◽  
MICHAEL GRABNER
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data ◽  
Exenatide Qw

scholarly journals Application of Health Technology Assessment (HTA) to Evaluate New Laboratory Tests in a Health System: A Case Study of Bladder Cancer Testing

2020 ◽  
Vol 7 ◽  
pp. 237428952096822
Author(s):  
Erik J. Landaas ◽  
Ashley M. Eckel ◽  
Jonathan L. Wright ◽  
Geoffrey S. Baird ◽  
Ryan N. Hansen ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Health Technology ◽  
Test System ◽  
Real World Data ◽  
World Data

We describe the methods and decision from a health technology assessment of a new molecular test for bladder cancer (Cxbladder), which was proposed for adoption to our send-out test menu by urology providers. The Cxbladder health technology assessment report contained mixed evidence; predominant concerns were related to the test’s low specificity and high cost. The low specificity indicated a high false-positive rate, which our laboratory formulary committee concluded would result in unnecessary confirmatory testing and follow-up. Our committee voted unanimously to not adopt the test system-wide for use for the initial diagnosis of bladder cancer but supported a pilot study for bladder cancer recurrence surveillance. The pilot study used real-world data from patient management in the scenario in which a patient is evaluated for possible recurrent bladder cancer after a finding of atypical cytopathology in the urine. We evaluated the type and number of follow-up tests conducted including urine cytopathology, imaging studies, repeat cystoscopy evaluation, biopsy, and repeat Cxbladder and their test results. The pilot identified ordering challenges and suggested potential use cases in which the results of Cxbladder affected a change in management. Our health technology assessment provided an objective process to efficiently review test performance and guide new test adoption. Based on our pilot, there were real-world data indicating improved clinician decision-making among select patients who underwent Cxbladder testing.

Continuous Glucose Monitoring in Adults with Type 1 Diabetes: Real-World Data from the German/Austrian Prospective Diabetes Follow-Up Registry

2020 ◽  
Vol 22 (8) ◽  
pp. 602-612
Author(s):  
Dirk Sandig ◽  
Julia Grimsmann ◽  
Christina Reinauer ◽  
Andreas Melmer ◽  
Stefan Zimny ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Real World ◽  
Glucose Monitoring ◽  
Real World Data ◽  
World Data

scholarly journals P335 Long-term follow-up of switching from original infliximab to infliximab biosimilar: real-world data

2019 ◽  
Vol 13 (Supplement_1) ◽  
pp. S268-S269
Author(s):  
M Guerra Veloz ◽  
M Belvis Jimenez ◽  
T Valdes Delgado ◽  
L Castro Laria ◽  
B Maldonado Pérez ◽  
...  
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data ◽  
Long Term Follow Up

Safety and efficacy analysis of long-term follow up real-world data with ibrutinib monotherapy in 58 patients with CLL treated in a single-center in Greece

2019 ◽  
Vol 60 (12) ◽  
pp. 2939-2945 ◽  
Author(s):  
Maria Dimou ◽  
Theodoros Iliakis ◽  
Vasileios Pardalis ◽  
Catherin Bitsani ◽  
Theodoros P. Vassilakopoulos ◽  
...  
Keyword(s):  
Real World ◽  
Single Center ◽  
Real World Data ◽  
Safety And Efficacy ◽  
World Data ◽  
Efficacy Analysis ◽  
Long Term Follow Up

scholarly journals P705 Switching from originator to biosimilar infliximab—real-world data from 18 months prospective follow-up of a single-centre IBD population

2018 ◽  
Vol 12 (supplement_1) ◽  
pp. S467-S468
Author(s):  
M L Hoivik ◽  
L C Buer ◽  
N Bolstad ◽  
B Moum ◽  
A W Medhus
Keyword(s):  
Real World ◽  
Single Centre ◽  
Real World Data ◽  
World Data

Using real world data to examine outcomes in immunotherapy-treated patients with metastatic non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21715-e21715
Author(s):  
Sierra Luciano ◽  
Christian Haudenschild ◽  
Seth Kuranz
Keyword(s):  
Overall Survival ◽  
Real World ◽  
Small Cell ◽  
Advanced Stage ◽  
Small Cell Lung ◽  
Real World Data ◽  
Treatment Pathways ◽  
Time To Treatment ◽  
World Data

e21715 Background: Important questions have been raised about whether real world data (RWD) can be relied upon to support clinical and regulatory decision-making. The aims of this study were to assess overall survival (OS), time-to-treatment (TTT), follow-up time, and treatment pathways in metastatic non-small cell lung cancer (mNSCLC) patients treated with programmed cell death protein 1 inhibitors (PD-1i). Methods: Two mNSCLC cohorts were identified in a US based EMR network. To explore treatment pathways, patients had to have an advanced (stage 3/4) diagnosis of NSCLC confirmed by a tumor registry record. A line of treatment (LOT) was defined as a PD-1i or chemotherapy taken within 30 days. OS, time to treatment, and follow-up time were also calculated. In another cohort patients had to have at least one PD-1i (pembrolizumab, nivolumab, durvalumab, or atezolizmab) and an oncology treatment within 3 months of an advanced stage diagnosis. OS was calculated using Kaplan-Meier analysis and stratified by time after nivolumab approval, quarter of PD-1i initiation, and line of therapy of first PD-1i. Patient characteristics were defined by ICD, CPT, LOINC, and RxNorm terminology. Results: Median overall survival was found to be 213 days (IQR 109, 425.25). In the treatment pathways analysis, 58.3% of patients started on a non-PD-1i chemotherapy as an initial line of treatment for mNSCLC. PD-1i was the most common second line treatment and 41.4% of patients who started on a non-PD-1i therapy switched to a PD-1i as their second line therapy. Median time from advanced diagnosis to PD-1i inhibitor initiation (9.6 months (IQR 3.45, 21.45)) and median structured follow-up times from advanced diagnosis (21.87 months (IQR 11.94, 38.97)) and from inhibitor initiation (8.71 months (3.06, 17.26)) were comparable to results found in other RWD. Conclusions: Overall survival, time to treatment, and other outcomes were consistent with comparable RWD sources, (Stewart M, 2019; Sean K 2018) regardless of treatment timeframe. We demonstrated that our real world evidence based approach provides a robust method for analyzing clinical outcomes, supporting the validity of real world data to complement clinical trials and inform clinical decisions.

Sign in / Sign up

Export Citation Format

Share Document