Evidence map›Paper›PMID 40128070›Full record

ArticleMedicine2025

Clinical value of blood routine and tumor markers in differentiating hepatocellular carcinoma from intrahepatic cholangiocarcinoma.

Wei Shi, Wen Jin, Lang Hong, Huo Wu, Shifeng Hu

Abstract read
In one paragraph

Article in Medicine, 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. Review
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

5 authors.

Wei ShiDepartment of Pathology, Tongling Polytechnic, Tongling, Anhui, China.
Wen JinDepartment of Pathology, Tongling Polytechnic, Tongling, Anhui, China.
Lang HongDepartment of Physiology, Tongling Polytechnic, Tongling, Anhui, China.
Huo WuDepartment of General Surgery, the First Affiliated Hospital of Anhui Medical University, Anhui, China.
Shifeng HuDepartment of Physiology, Tongling Polytechnic, Tongling, Anhui, China.ORCID 0009-0002-2090-056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the 2 major types of primary liver cancer, differing significantly in etiology, treatment strategies, and prognosis despite their common hepatic origin. Accurate preoperative differentiation between HCC and ICC is critical for optimizing treatment and improving patient outcomes. However, traditional diagnostic methods, including imaging and tumor markers, have limitations in sensitivity and specificity, necessitating the exploration of novel diagnostic approaches. This retrospective study included 165 patients diagnosed with HCC (n = 87) or ICC (n = 78) between January 2023 and January 2024. Preoperative data, including routine blood tests and tumor markers (e.g., alpha-fetoprotein [AFP], carbohydrate antigen 19-9 [CA19-9], carcinoembryonic antigen [CEA]), were collected. Blood routine parameters, such as white blood cell count (WBC), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR), were analyzed. Univariate and multivariate logistic regression analyses were conducted to identify independent diagnostic factors. A predictive model was constructed and its diagnostic performance evaluated using receiver operating characteristic curves. Subgroup analyses were performed to investigate diagnostic efficiency in different patient subsets. AFP and CA19-9 emerged as key tumor markers for differentiating HCC and ICC. AFP levels were significantly higher in HCC patients (P < .001), whereas CA19-9 levels were markedly elevated in ICC patients (P < .001). Among blood routine parameters, elevated WBC (P < .001), monocyte count (P = .005), NLR (P = .02), and monocyte ratio (P = .012) were associated with an increased risk of ICC, while a higher LMR was protective against ICC (P = .006). The multivariate logistic regression model demonstrated robust diagnostic accuracy, with an area under the curve (AUC) of 0.791. Subgroup analyses revealed superior diagnostic performance at higher levels of AFP (≥200 ng/mL, AUC = 0.90) and CA19-9 (≥37 U/mL, AUC = 0.91). The combination of blood routine parameters and tumor markers demonstrates high diagnostic efficacy in preoperatively differentiating HCC and ICC. Key markers, including AFP and CA19-9, along with inflammatory and immune-related blood parameters such as WBC, NLR, and LMR, significantly enhance diagnostic accuracy. This study provides valuable insights into refining diagnostic strategies and supports individualized treatment planning for patients with primary liver cancer.

Indexed as

Bile Duct NeoplasmsBiomarkers, TumorCarcinoma, HepatocellularCholangiocarcinomaLiver NeoplasmsAdultAgedalpha-FetoproteinsCA-19-9 AntigenCarcinoembryonic AntigenDiagnosis, DifferentialFemaleHumansLeukocyte CountMaleMiddle Agedalpha-FetoproteinsBiomarkers, TumorCA-19-9 AntigenCarcinoembryonic Antigen

Identifiers

PMID40128070
PMCPMC11936544

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.