Evidence map›Paper›PMID 40821392›Full record

ArticleOncoTargets and therapy2025

Innovative Biomarkers for Diagnosing Malignant Ascites in Liver Cancer.

Yan Zhang, Jing Wu, Huaizhong Cui, Xiaojing Zhang, Lingyan He, Kailong Gu, Aifang Xu

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yan ZhangDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Jing WuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Huaizhong CuiDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Xiaojing ZhangDepartment of hepatology, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Lingyan HeDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Kailong GuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Aifang XuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.ORCID 0000-0002-1059-3116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Liver cancer ranks among the most prevalent and lethal malignancies worldwide, with metastatic malignant ascites being a common complication. This study seeks to assess the diagnostic significance of high fluorescent cells (HFCs), biochemical and tumor markers in predicting the development of metastatic malignant ascites in patients with liver cancer. Methods: We collected ascites samples from 266 patients diagnosed with liver cancer. HFC were analyzed using the BF mode of the BC-7500 hematology analyzer, assessing both relative counts (HF-BF%) and absolute counts (HF-BF#). Additionally, biochemical and tumor markers were evaluated in serum and ascites. The diagnostic accuracy of these indicators, both individually and in combination, was assessed using receiver operating characteristic (ROC) curve analysis. Results: The malignant ascites group exhibited significantly higher levels of HF-BF%, cancer ratio 2 (Ratio2, ascites LDH: ascites ADA Ratio), and neuron-specific enolase (NSE) compared to the benign group, identifying these markers as independent risk factors for malignant ascites in liver cancer patients. Ratio2 demonstrated limited diagnostic value for malignant ascites, with an area under the curve (AUC) of 0.614. In contrast, HF-BF% and NSE showed moderate diagnostic capabilities, with AUCs of 0.760 and 0.700, respectively. The combined assessment of all three indicators yielded a high diagnostic capability, with an AUC of 0.824. The critical values for NSE, HF-BF%, and Ratio2 were 11.42 U/mL, 4.35/100 WBC, and 32.82%, respectively. Conclusion: The combined evaluation of HF-BF%, Ratio2, and NSE serves as a valuable indicator for predicting the occurrence of metastatic malignant ascites in liver cancer patients.

Indexed as

ascites LDH: ascites ADA ratiohigh fluorescent cellsliver cancermalignant ascitesNSE

Identifiers

PMID40821392
PMCPMC12357358

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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.