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CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy.

1/5 보강
Scientific reports 📖 저널 OA 98.8% 2021: 24/24 OA 2022: 32/32 OA 2023: 45/45 OA 2024: 140/140 OA 2025: 938/938 OA 2026: 738/767 OA 2021~2026 2024 Vol.14(1) p. 13036
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
575 participants were enrolled in the study.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
This study identified VFD, L3 SMI and VFA/SFA associated with digestive malignancies outcomes. BCS was created and the scored-CT system was established to predict the OS of cancer patients.

Zheng K, Liu X, Li Y, Cui J, Li W

📝 환자 설명용 한 줄

The role of skeletal muscle and adipose tissue in the progression of cancer has been gradually discussed, but it needs further exploration.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P < 0.001

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↓ .bib ↓ .ris
APA Zheng K, Liu X, et al. (2024). CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy.. Scientific reports, 14(1), 13036. https://doi.org/10.1038/s41598-024-63806-1
MLA Zheng K, et al.. "CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy.." Scientific reports, vol. 14, no. 1, 2024, pp. 13036.
PMID 38844600 ↗

Abstract

The role of skeletal muscle and adipose tissue in the progression of cancer has been gradually discussed, but it needs further exploration. The objective of this study was to provide an in-depth analysis of skeletal muscle and fat in digestive malignancies and to construct novel predictors for clinical management. This is a retrospective study that includes data from Cancer Center, the First Hospital of Jilin University. Basic characteristic information was analyzed by T tests. Correlation matrices were drawn to explore the relationship between CT-related indicators and other indicators. Cox risk regression analyses were performed to analyze the association between the overall survivals (OS) and various types of indicators. A new indicator body composition score (BCS) was then created and a time-dependent receiver operating characteristic curve was plotted to analyze the efficacy of the BCS. Finally, a nomogram was produced to develop a scored-CT system based on BCS and other indicators. C-index and calibration curve analyses were performed to validate the predictive accuracy of the scored-CT system. A total of 575 participants were enrolled in the study. Cox risk regression model revealed that VFD, L3 SMI and VFA/SFA were associated with prognosis of cancer patients. After adjustment, BCS index based on CT was significantly associated with prognosis, both in all study population and in subgroup analysis according to tumor types (all study population: HR 2.036, P < 0.001; colorectal cancer: HR 2.693, P < 0.001; hepatocellular carcinoma: HR 4.863, P < 0.001; esophageal cancer: HR 4.431, P = 0.008; pancreatic cancer: HR 1.905, P = 0.016; biliary system malignancies: HR 23.829, P = 0.035). The scored-CT system was constructed according to tumor type, stage, KPS, PG-SGA and BCS index, and it was of great predictive validity. This study identified VFD, L3 SMI and VFA/SFA associated with digestive malignancies outcomes. BCS was created and the scored-CT system was established to predict the OS of cancer patients.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

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