Evidence map›Paper›PMID 35726168›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2022

Prognostic Significance of Preoperative Integrated Liver Inflammatory Score in Patients with Hepatocellular Carcinoma.

Biao Wu, Yumeng Wu, Xianlin Guo, Yifei Liu, Yanping Yue, Wenjing Zhao, Jibin Liu, Xuming Wu, Aiguo Shen, Suqing Zhang

Abstract readMulticenter Study
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Biao WuDepartment of Hepatobiliary and Pancreatic Surgery, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).
Yumeng WuCancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).ORCID 0000-0001-7648-365X
Xianlin GuoDepartment of Hepatobiliary and Pancreatic Surgery, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).
Yifei LiuDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China (mainland).
Yanping YueCancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).
Wenjing ZhaoCancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).
Jibin LiuCancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).
Xuming WuDepartment of Pathology, Nantong Fourth People's Hospital, Nantong, Jiangsu, China (mainland).
Aiguo ShenCancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).
Suqing ZhangDepartment of Hepatobiliary and Pancreatic Surgery, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The Integrated Liver Inflammatory Score (ILIS), which includes 5 serum indicators (albumin, bilirubin, neutrophil count, alpha-fetoprotein [AFP], and alkaline phosphatase [ALP]), is a novel inflammation-based predictive model associated with poor survival in hepatocellular carcinoma (HCC) patients. Our study aimed to assess the prognostic value of ILIS in HCC patients undergoing radical hepatectomy and establish a nomogram and artificial neural network based on their ILIS scores. MATERIAL AND METHODS This multicenter retrospective study included patients from 2 institutions from 2007 to 2017. Independent risk factors associated with Recurrence-free survival (RFS) and overall survival (OS) were identified through univariate and multifactor analysis in the training and validation groups, respectively. Afterward, column line graphs and artificial neural networks (ANN) were constructed and validated using the validation group. RESULTS A total of 432 patients were included in this study (275 in the training group and 157 in the validation group). In both cohorts, ILIS was correlated with pathological features such as tumor size, degree of differentiation, Child-Pugh class classification, and BCLC staging. Moreover, ILIS was identified as an independent risk factor for OS. ILIS-based nomograms and artificial neural networks also showed the prognostic value of ILIS. CONCLUSIONS Preoperative ILIS is an independent and effective predictor of prognosis in HCC patients treated with radical hepatectomy, as shown by the fact that higher ILIS are associated with worse patient prognosis. We have also established nomograms and ANNs that predict HCC prognosis with high accuracy.

Indexed as

Carcinoma, HepatocellularHepatitisLiver NeoplasmsHepatectomyHumansPrognosisRetrospective Studies

Identifiers

PMID35726168
PMCPMC9233431

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.