Reply to: The potential confounding role of nutritional support.

On behalf of all co-authors, I sincerely thank Dr. Hong for his insightful comments regarding our article and discuss the po-tential role of nutritional support as a confounder in our study (1). First, we recognized the prognostic importance of nutritional and inflammatory status in our cohort, as evidenced by our inclusion of baseline albumin (ALB) and the C-reactive protein/albumin (CRP/ALB) ratio as covariates in our propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) analyses. Both were identified as independent adverse prognostic factors in multivariate models. These markers were adjusted for in our models to account for baseline nutritional and inflammatory status. Moreover, our PSM and IPTW analyses successfully balanced the groups for key baseline nutritional markers, suggesting that the groups were comparable in terms of underlying nutritional risk at treatment initiation.

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Publication Details

Journal
PubMed
Published
2026-05-21
DOI
https://doi.org/10.4193/rhin26.345
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00
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article

Reply to: The potential confounding role of nutritional support.

R-L Xie
PubMed
Nutrition and Health in Aging
article

Reply to: The potential confounding role of nutritional support.

R-L Xie
article en

Abstract

On behalf of all co-authors, I sincerely thank Dr. Hong for his insightful comments regarding our article and discuss the po-tential role of nutritional support as a confounder in our study (1). First, we recognized the prognostic importance of nutritional and inflammatory status in our cohort, as evidenced by our inclusion of baseline albumin (ALB) and the C-reactive protein/albumin (CRP/ALB) ratio as covariates in our propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) analyses. Both were identified as independent adverse prognostic factors in multivariate models. These markers were adjusted for in our models to account for baseline nutritional and inflammatory status. Moreover, our PSM and IPTW analyses successfully balanced the groups for key baseline nutritional markers, suggesting that the groups were comparable in terms of underlying nutritional risk at treatment initiation.

PubMed
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)
Zero hunger
Openalex Percentile: Top 6%
Nutrition and Health in Aging
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