Evidence map›Paper›PMID 41081183›Full record

ArticleQuantitative imaging in medicine and surgery2025

Role of muscle glucometabolism derived from

Yinting Hu, Yang Chen, Hui Yuan, Fanghu Wang, Xiaoyue Tan, Qing Zhang, Lei Jiang, Zhijian Chen

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In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yinting Hu *Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yang Chen *PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Hui YuanPET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Fanghu WangPET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiaoyue TanPET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qing ZhangPET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lei JiangGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID https://orcid.org/0000-0002-9479-132X
Zhijian ChenPET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our previous studies have found that certain cancer patients with sarcopenia tend to present with lower glucometabolism within skeletal muscles. This study aimed to investigate the association between sarcopenia and Methods: Clinicopathological and Results: Among 1,024 patients, 459 patients (44.8%) were diagnosed with sarcopenia. Sarcopenia was more common in males (P<0.001), patients with low body mass index (BMI) (P=0.013), smoking history (P=0.007), diabetes (P=0.035), poor Eastern Cooperative Oncology Group (ECOG) status (P<0.001), multiple primary tumors (P=0.001), and low SUVmax of muscle (P<0.001). Sex (P<0.001), BMI (P=0.028), ECOG status (P<0.001), number of primary tumors (P=0.001), and SUVmax of muscle (P<0.001) were independent predictors of sarcopenia and utilized to construct a predictive nomogram. Furthermore, division by sex revealed that BMI (P=0.021), ECOG status (P<0.001), number of primary tumors (P<0.001), and SUVmax of muscle (P<0.001) independently predicted sarcopenia in males, while diabetes (P=0.028) and SUVmax of muscle (P<0.001) were independent predictors in females. Conclusions: Regardless of sex, SUVmax of muscle can independently predict sarcopenia in elderly patients with newly diagnosed malignancies. As an alternative to complex SMI measurements, a nomogram model incorporating SUVmax of muscle can effectively predict the likelihood of sarcopenia.

Indexed as

18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT)elderlymalignancymuscle glucometabolismSarcopenia

Identifiers

PMID41081183
PMCPMC12514704

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