Evidence map›Paper›PMID 39911121›Full record

ArticleClinical hemorheology and microcirculation2025

The value of clinical indicators combined with imaging tumor burden score in predicting microvascular invasion of hepatocellular carcinoma.

Ya-Dan Xu, Fei-Hang Wang, Kai-Ling Chen, Yang Tang, Qi Zhang, Hong Han, Yi Dong, Wen-Ping Wang

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Clinical hemorheology and microcirculation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

  • Retraction · 2025-11-23Compromised Peer Review · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Third Party Involvement · Investigation by Journal/Publisher ·
  • Retracted
5 · Who and what money

Authors and funding

8 authors.

Ya-Dan XuDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Fei-Hang WangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Kai-Ling ChenDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Yang TangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Qi ZhangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Hong HanDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi DongDepartment of Ultrasound, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wen-Ping WangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the value of a new clinical prediction model combined serological indicators and tumor burden score (TBS) in predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients.

methodsThis study retrospectively analyzed a total of 605 patients who underwent liver tumor resection at our hospital from January 2021 to December 2023. The required clinical data before surgery were collected from the electronic medical record system. All patients were randomly divided into a training group and a validation group according to the ratio of 7 : 3. Univariate and multivariate analyses were conducted to identify factors associated with MVI. Based on the combined factors, a nomogram for predicting MVI was constructed and its diagnostic performance was evaluated.

resultsThere were 123 (20.3%) female patients and 482 (79.7%) male patients were enrolled, with an average age of 59 years. There were 182 (30.1%) patients with positive MVI and 423 (69.9%) patients with negative MVI. On multivariate logistic analysis, prealbumin (0.993 [0.986, 1.000]), AFP (0.993 [0.987, 1.000]), PIVKA-II (1.000 [1.000, 1.000]) were independently associated with MVI. The nomogram constructed based on the aforementioned variables and TBS exhibited area under the curve (AUC) of 0.804 and 0.742 in the training group and a validation group, respectively. The calibration curves in both training group and a validation group showed good fit, and the decision curve analysis revealed a net benefit across a wide range of threshold probabilities.

conclusionsThe newly developed nomogram was an independent biomarker for predict MVI, which might take precision medicine one step further.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicrovesselsAdultAgedFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNomogramsRetrospective StudiesTumor BurdenHepatocellular carcinomamicrovascular invasiontumor burden index

Identifiers

PMID39911121

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.