Evidence map›Paper›PMID 38260867›Full record

ArticleJournal of hepatocellular carcinoma2024

Monocyte-to-High-Density Lipoprotein-Cholesterol Ratio Predicts Prognosis of Hepatocellular Carcinoma in Patients with Metabolic-Associated Fatty Liver Disease.

Tongguo Miao, Xianzhe Lou, Shiming Dong, Xiaoxiao Zhang, Weiwei Guan, Ying Zhang, Lu Li, Xiwei Yuan, Dong Ma, Yuemin Nan

Open access · goldAbstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 1 institution in 1 country.

Tongguo MiaoDepartment of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.
Xianzhe LouDepartment of Biochemistry and Molecular Biology, Key Laboratory of Neural and Vascular Biology, Ministry of Education, Hebei Medical University, Shijiazhuang, Hebei Province, 050017, People's Republic of China.
Shiming DongDepartment of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.
Xiaoxiao ZhangDepartment of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.
Weiwei GuanDepartment of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.
Ying ZhangDepartment of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.
Lu LiDepartment of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.ORCID 0000-0003-1078-9730
Xiwei YuanDepartment of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.
Dong Ma *Department of Biochemistry and Molecular Biology, Key Laboratory of Neural and Vascular Biology, Ministry of Education, Hebei Medical University, Shijiazhuang, Hebei Province, 050017, People's Republic of China.
Yuemin Nan *Department of Traditional and Western Medical Hepatology, Hebei Medical University Third Hospital & Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis, Hebei International Science and Technology Cooperation Base, Shijiazhuang, Hebei Province, 050051, People's Republic of China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The incidence of non-B and non-C hepatocellular carcinoma (NBNC-HCC) is increasing globally. Metabolically associated fatty liver disease (MAFLD) has been a contributing factor to this rising trend in NBNC-HCC incidence. The monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) is a new prognostic marker that connects systemic inflammation with disorders of lipid metabolism. Therefore, MHR may be a potential prognostic predictor of patients with MAFLD-related HCC (MAFLD-HCC). This study aims to investigate the relationship between the MHR and prognosis of patients with MAFLD-HCC and construct a novel prognostic prediction tool for MAFLD-HCC. Patients and Methods: This retrospective study of patients with MAFLD-HCC included training (n = 112) and internal validation (n = 37) cohorts. Univariate and multivariate Cox proportional hazard regression analysis was conducted to identify independent risk factors of survival. A visual nomogram was constructed to assess the performance of the two groups. Furthermore, receiver operating characteristic (ROC) curves and calibration curves were used to verify the prognostic discriminative ability of this nomogram, even in the MHR, ALBI grade, and MHR-ALBI model. Results: Univariate and multivariate analyses revealed that extrahepatic metastases, Vascular invasion, Barcelona staging B, C, D, elevated ALBI Grade 3, C-reactive protein (CRP), and MHR were independent risk factors for the prognosis of MAFLD-HCC. Moreover, calibration plots showed good discrimination and consistency when the significant factors were entered into the nomogram. Meanwhile, the MHR strongly correlated with the prognosis of cancer under a background of MAFLD-HCC, with a sensitivity of 88.89% and a specificity of 79.61%. Importantly, the performance of the MHR alone (AUC = 86.2) was not only superior to the ALBI grade (AUC = 63.8) but was comparable to the combination of MHR and ALBI (AUC = 88.5). Conclusion: The novel nomogram demonstrated good value in predicting the overall survival of patients with MAFLD-HCC. The MHR may be a potential predictor of prognosis.

Indexed as

lipid metabolismMAFLD-HCCMHRnomogramprognostic prediction

Identifiers

PMID38260867
PMCPMC10802127
OpenAlexW4390987162

What OpenQuestion holds

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Registered trials

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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.