Evidence map›Paper›PMID 37850078›Full record

ArticleJournal of hepatocellular carcinoma2023

Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram.

Qiumei Lin, Zongwei Jiang, Dan Mo, Fengfei Liu, Yuling Qin, Yihua Liang, Yuchen Cheng, Hao Huang, Min Fang

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

9 authors.

Qiumei Lin *Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.ORCID 0000-0003-2845-3004
Zongwei Jiang *Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.
Dan Mo *Department of Breast, Guangxi Zhuang Autonomous Region Maternal and Child Health Care Hospital, Nanning, 530025, People's Republic of China.
Fengfei LiuDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.
Yuling QinDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.ORCID 0000-0001-7035-4072
Yihua LiangDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.
Yuchen ChengDepartment of Clinical Laboratory, Wuzhou Maternal and Child Health-Care Hospital, Wuzhou, People's Republic of China.
Hao HuangDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.
Min FangDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.ORCID 0009-0008-7336-9606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate prognosis is crucial for improving hepatocellular carcinoma (HCC) patients, clinical management, and outcomes post-liver resection. However, the lack of reliable prognostic indicators poses a significant challenge. This study aimed to develop a user-friendly nomogram to predict HCC patients' post-resection prognosis. Methods: We retrospectively analyzed the data from 1091 HCC patients, randomly split into training (n=767) and validation (n=324) cohorts. Receiver operating characteristic (ROC) curves determined the optimal cut-off value for alpha1-microglobulin (α1MG) and Beta2-microglobulin (β2MG). Kaplan-Meier analysis assessed microglobulin's impact on survival, followed by Cox regression to identify prognostic factors and construct a nomogram. The predictive accuracy and discriminative ability of the nomogram were measured by the concordance index (C-index), calibration curves, area under the ROC curve (AUC), and decision curve analysis (DCA), and were compared with the BCLC staging system, Edmondson grade, or BCLC stage plus Edmondson grade. Results: Patients with high β2MG (≥2.395mg/L) had worse overall survival (OS). The nomogram integrated β2MG, BCLC stage, Edmondson grade, microvascular invasion (MVI), and serum carbohydrate antigen 199 (CA199) levels. C-index for training and validation cohorts (0.712 and 0.709) outperformed the BCLC stage (0.660 and 0.657), Edmondson grade (0.579 and 0.564), and the combination of BCLC stage with Edmondson grade (0.681 and 0.668), improving prognosis prediction. Calibration curves demonstrated good agreement between predicted and observed survival. AUC values exceeded 0.700 over time, highlighting the nomogram's discriminative ability. DCA revealed superior overall net income compared to other systems, emphasizing its clinical utility. Conclusion: Our β2MG-based nomogram accurately predicts HCC patients' post-resection prognosis, aiding intervention and follow-up planning. Significantly, our nomogram surpasses existing prognostic indicators, including BCLC stage, Edmondson grade, and the combination of BCLC stage with Edmondson grade, by demonstrating superior predictive performance.

Indexed as

hepatocellular carcinomamicroglobulinnomogramprognosis

Identifiers

PMID37850078
PMCPMC10577246

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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.