Lipid levels and insulin resistance markers in patients with colorectal cancer: Propensity score matching analysis

Preoperative serum lipid profiles exhibit a robust association with patients with CRC. The concurrent assessment of multiple serum lipids and cancer antigens effectively enhances the diagnostic accuracy for CRC.

Authors

Institutions

Publication Details

Journal
World Journal of Gastrointestinal Oncology
Published
2024-12-11
DOI
https://doi.org/10.4251/wjgo.v17.i1.100204
Citations
3
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lipid levels and insulin resistance markers in patients with colorectal cancer: Propensity score matching analysis

Ren-hao Hu, Shun Zhang, Ke-hui Zhang, Xiaohua Jiang et al.
3 citations
World Journal of Gastrointestinal Oncology
Cancer, Lipids, and Metabolism
0.86
article

Lipid levels and insulin resistance markers in patients with colorectal cancer: Propensity score matching analysis

Ren-hao Hu, Shun Zhang, Ke-hui Zhang, Xiaohua Jiang, Donghui Yan, Ximao Cui, Di Zhang
article en
3 citations

Abstract

Preoperative serum lipid profiles exhibit a robust association with patients with CRC. The concurrent assessment of multiple serum lipids and cancer antigens effectively enhances the diagnostic accuracy for CRC.

World Journal of Gastrointestinal OncologyVol. 17(1)
Tongji University (CN), Shanghai East Hospital (CN)
Good health and well-being
Openalex Percentile: Top 24%
Cancer, Lipids, and Metabolism
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.