Evidence map›Paper›PMID 38994169›Full record

ArticleWorld journal of gastrointestinal oncology2024

Development of a diagnostic nomogram for alpha-fetoprotein-negative hepatocellular carcinoma based on serological biomarkers.

Li He, Cui Zhang, Lan-Lan Liu, Li-Ping Huang, Wen-Jing Lu, Yuan-Yuan Zhang, De-Yong Zou, Yu-Fei Wang, Qing Zhang, Xiao-Li Yang

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Li HeSchool of Clinical Medicine, Weifang Medical University, Weifang 261053, Shandong Province, China.
Cui ZhangDepartment of Laboratory Medicine, The Third Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.
Lan-Lan LiuDepartment of Laboratory Medicine, The Third Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.
Li-Ping HuangDepartment of Laboratory Medicine, Jingyu County People's Hospital, Baishan 135200, Jilin Province, China.
Wen-Jing LuDepartment of Laboratory Medicine, The Third Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.
Yuan-Yuan ZhangDepartment of Laboratory Medicine, The Third Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.
De-Yong ZouDepartment of Laboratory Medicine, The Third Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.
Yu-Fei WangDepartment of Laboratory Medicine, The Third Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.
Qing ZhangSchool of Clinical Medicine, Weifang Medical University, Weifang 261053, Shandong Province, China.
Xiao-Li YangDepartment of Laboratory Medicine, The Third Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Serum biomarkers play an important role in the early diagnosis and prognosis of HCC. Because a certain percentage of HCC patients are negative for alpha-fetoprotein (AFP)

aimTo establish an effective model for diagnosing AFP-negative HCC based on serum tumour biomarkers.

methodsA total of 180 HCC patients were enrolled in this study. The expression levels of GP73, des-γ-carboxyprothrombin (DCP), CK18-M65, and CK18-M30 were detected by a fully automated chemiluminescence analyser. The variables were selected by logistic regression analysis. Several models were constructed using stepwise backward logistic regression. The performance of the models was compared using the C statistic, integrated discrimination improvement, net reclassification improvement, and calibration curves. The clinical utility of the nomogram was assessed using decision curve analysis (DCA).

resultsThe results showed that the expression levels of GP73, DCP, CK18-M65, and CK18-M30 were significantly greater in AFP-negative HCC patients than in healthy controls (

conclusionOur study identified GP73 and CK18-M65 as serum biomarkers with certain application value in the diagnosis of AFP-negative HCC. The diagnostic nomogram based on CK18-M65 combined with GP73 demonstrated good performance and effectively identified high-risk groups of patients with HCC.

Indexed as

Alpha-fetoprotein-negativeBiomarkerDiagnosticHepatocellular carcinomaNomogram

Identifiers

PMID38994169
PMCPMC11236252

What Socratic holds

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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 Socratic graph.