ArticleOncology2020
Impact of Integrating Insulin-Like Growth Factor 1 Levels into Model for End-Stage Liver Disease Score for Survival Prediction in Hepatocellular Carcinoma Patients.
Article in Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Evaluating the role of preoperative serum insulin-like growth factor 1 as a predictor of survival and recurrence for patients with resectable hepatocellular carcinoma.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2026Article
- Role of sonography in detection and evaluation of post liver transplant complications.Saudi medical journal · 2024Article
- A Post-International Gastrointestinal Cancers' Conference (IGICC) Position Statements.Journal of hepatocellular carcinoma · 2024Article
- Prediction models of hepatocellular carcinoma recurrence after liver transplantation: A comprehensive review.Clinical and molecular hepatology · 2022Review
- Prognostic significance of circulating insulin growth-like factor 1 and insulin growth-like factor binding protein 3 in renal cell carcinoma patients.American journal of cancer research · 2022Article
- Article
Corrections and comments
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Authors and funding
26 authors at 8 institutions in 5 countries.
Funding
Abstract
backgroundLiver reserve affects survival in hepatocellular carcinoma (HCC). Model for End-Stage Liver Disease (MELD) score is used to predict overall survival (OS) and to prioritize HCC patients on the transplantation waiting list, but more accurate models are needed. We hypothesized that integrating insulin-like growth factor 1 (IGF-1) levels into MELD score (MELD-IGF-1) improves OS prediction as compared to MELD.
methodsWe measured plasma IGF-1 levels in training (n = 310) and validation (n = 155) HCC cohorts and created MELD-IGF-1 score. Cox models were used to determine the association of MELD and MELD-IGF-1 with OS. Harrell's c-index was used to compare the predictive capacity.
resultsIGF-1 was significantly associated with OS in both cohorts. Patients with an IGF-1 level of ≤26 ng/mL in the training cohort and in the validation cohorts had significantly higher hazard ratios than patients with the same MELD but IGF-1 >26 ng/mL. In both cohorts, MELD-IGF-1 scores had higher c-indices (0.60 and 0.66) than MELD scores (0.58 and 0.60) (p < 0.001 in both cohorts). Overall, 26% of training and 52.9% of validation cohort patients were reclassified into different risk groups by MELD-IGF-1 (p < 0.001).
conclusionsAfter independent validation, the MELD-IGF-1 could be used to risk-stratify patients in clinical trials and for priority assignment for patients on liver transplantation waiting list.
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Registered trials
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