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RAM score is an effective predictor for early mortality and recurrence after hepatectomy for hepatocellular carcinoma

Overview of attention for article published in BMC Cancer, November 2017
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Title
RAM score is an effective predictor for early mortality and recurrence after hepatectomy for hepatocellular carcinoma
Published in
BMC Cancer, November 2017
DOI 10.1186/s12885-017-3748-9
Pubmed ID
Authors

Heng-Yuan Hsu, Ming-Chin Yu, Chao-Wei Lee, Hsin-I Tsai, Chang-Mu Sung, Chun-Wei Chen, Shu-Wei Huang, Cheng-Yu Lin, Wen-Juei Jeng, Wei-Chen Lee, Miin-Fu Chen

Abstract

Liver resection had been regarded as a standard treatment for primary hepatocellular carcinoma (HCC). However, early mortality and recurrence after surgery were still of major concern. RAM (Risk Assessment for early Mortality) scoring system is a newly developed tool for assessing early mortality after hepatectomy for HCC. In this study, we compared RAM scoring system with ALBI and MELD scores for their capability of predicting short-term outcome. We retrospectively reviewed patients with hepatocellular carcinoma who were treated with hepatectomy at Chang Gung Memorial Hospital between 1986 and 2015. Their clinical characteristics and perioperative variables were collected. We applied RAM, albumin-bilirubin (ALBI), and model for end-stage liver disease (MELD) scoring systems to predict early mortality and early recurrence in HCC patients after surgery. We investigated the discriminative power of each scoring system by receiver operating characteristic (ROC) curve and area under the ROC curve (AUC). A total of 1935 patients (78% male) who underwent liver resection for HCC were included in this study. The median follow-up period was 41.9 months. One hundred and forty-nine patients (7.7%) died within 6 months after hepatectomy (early mortality). All the three scoring systems were effective predictor for early mortality, with higher score indicating higher risk of early mortality (AUC of RAM = 0.723, p < 0.001; AUC of ALBI = 0.682, p < 0.001; AUC of MELD = 0.590, p = 0.002). Cox regression multivariate analysis demonstrated that the RAM class was the most significant independent predictor of early mortality after surgery, while MELD grade failed to discriminatively predict early mortality. In addition to early mortality, the RAM score was also predictive of early recurrence in HCC after surgery. This study demonstrated that RAM score is an effective and user-friendly bedside scoring system to predict early mortality and early recurrence after hepatectomy for HCC. In addition, the predictive capability of RAM score is superior to ALBI and MELD scores. Further study is warranted to validate our findings.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 8 44%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Nursing and Health Professions 1 6%
Social Sciences 1 6%
Earth and Planetary Sciences 1 6%
Unknown 10 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2017.
All research outputs
#20,451,991
of 23,007,887 outputs
Outputs from BMC Cancer
#6,530
of 8,359 outputs
Outputs of similar age
#288,681
of 331,178 outputs
Outputs of similar age from BMC Cancer
#95
of 123 outputs
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