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26-12-2023 | Lung Cancer

Development of algorithms to estimate the EQ-5D-5L from the FACT-L in patients with lung cancer: a mapping study

Authors: Longlin Jiang, Hong Zhou, Qing Yang, Xi Luo, Deyu Huang

Published in: Quality of Life Research | Issue 3/2024

Abstract

Objective

This study aimed to develop a mapping algorithm to evaluate the EQ-5D-5L according to the FACT-L when the EQ-5D-5L is not available.

Methods

EQ-5D-5L and FACT-L data were collected from patients with lung cancer in Departments of Thoracic Surgery, Medical Oncology, Radiation Oncology, Sichuan Cancer Hospital. We used the ordinary least squares model (OLS), Tobit model (Tobit), two-part model (TPM), beta mixture regression (BM), and censored least absolute deviation model (CLAD) to map the results of the FACT-L according to EQ-5D-5L scores. To establish these models, the total score, dimension scores, squared items, and interaction items were introduced. Performance metrics including Adjusted R², root mean square error (RMSE), and mean absolute error (MAE) were used to select the optimized model.

Results

The model with the best mapping performance was the BM model (BETAMIX4) with the PWB (physical well-being) dimension, FWB (functional well-being) dimension, the squared term of the PWB dimension, and the squared term of the FWB dimension as covariates. The final prediction metrics were Adjusted R² = 0.695, RMSE = 0.206, and MAE = 0.109. Fivefold cross-validation (CV) results also demonstrated that the BM model had the best mapping power.

Conclusions

This study developed an optimized mapping algorithm to predict the utility index from the FACT-L to the EQ-5D-5L, which provides an effective alternative reference for EQ-5D-5L estimation when the preference-based health utility values were unavailable.

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Title: Development of algorithms to estimate the EQ-5D-5L from the FACT-L in patients with lung cancer: a mapping study
Authors: Longlin Jiang
Hong Zhou
Qing Yang
Xi Luo
Deyu Huang
Publication date: 26-12-2023
Publisher: Springer International Publishing
Keywords: Lung Cancer
Lung Cancer
Lung Cancer
Published in: Quality of Life Research / Issue 3/2024
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-023-03567-y

EASD 2024

Springer Medicine

Development of algorithms to estimate the EQ-5D-5L from the FACT-L in patients with lung cancer: a mapping study

Abstract

Objective

Methods

Results

Conclusions

EASD 2024

Springer Medicine

Abstract

Objective

Methods

Results

Conclusions

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