ArticleBMC cancer2020
Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Blood lipid metabolic biomarkers are emerging as significant prognostic indicators for survival in cancer patients.BMC cancer · 2024Pooled it
- Article
- Apolipoproteins: New players in cancers.Frontiers in pharmacology · 2022Review
- Integrative Molecular Insights Into Epidemiological, Genetic, and Metabolic Risk Factors of Gallbladder Cancer: Implications for Biomarkers, Therapeutic Targeting, and Future Perspectives.Cancer control : journal of the Moffitt Cancer CenterReview
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Authors and funding
14 authors at 1 institution in 1 country.
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Abstract
backgroundSerum lipids were reported to be the prognostic factors of various cancers, but their prognostic value in malignant biliary tumor (MBT) patients remains unclear. Thus we aim to assess and compare prognosis values of different serum lipids, and construct a novel prognostic nomogram based on serum lipids.
methodsPatients with a confirmed diagnosis of MBT at our institute from 2003 to 2017 were retrospectively reviewed. Prognosis-related factors were identified via univariate and multivariate Cox regression analyses. Then the novel prognostic nomogram and a 3-tier staging system were constructed based on these factors and further compared to the TNM staging system.
resultsA total of 368 patients were included in this study. Seven optimal survival-related factors-TC/HDL > 10.08, apolipoprotein B > 0.9 g/L, lipoprotein> 72 mg/L, lymph node metastasis, radical cure, CA199 > 37 U/mL, and tumor differentiation -were included to construct the prognostic nomogram. The C-indexes in training and validation sets were 0.738 and 0.721, respectively. Besides, ROC curves, calibration plots, and decision curve analysis all suggested favorable discrimination and predictive ability. The nomogram also performed better predictive ability than the TNM system and nomogram without lipid parameters. And the staging system based on nomogram also presented better discriminative ability than TNM system (P < 0.001).
conclusionsThe promising prognostic nomogram based on lipid parameters provided an intuitive method for performing survival prediction and facilitating individualized treatment and was a great complement to the TNM staging system in predicting overall survival.
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