Evidence map›Paper›PMID 30544459›Full record

ArticleMedicine2018

A new scoring model predicting macroscopic vascular invasion of early-intermediate hepatocellular carcinoma.

Yao Liu, Le Sun, Fangyuan Gao, Xue Yang, Yuxin Li, Qun Zhang, Bingbing Zhu, Shuaishuai Niu, Yunyi Huang, Ying Hu and 3 more

Abstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors.

Yao LiuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Le SunCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Fangyuan GaoCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Xue YangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Yuxin LiCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Qun ZhangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Bingbing ZhuDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Shuaishuai NiuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Yunyi HuangDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ying HuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Ying FengCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Yuyong JiangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.
Xianbo WangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macroscopic vascular invasion cannot be properly predicted in advance in hepatocellular carcinoma patients based on clinical characteristics and imaging features.To develop a predictive scoring model of macroscopic vascular invasion in hepatocellular carcinoma patients after transcatheter arterial chemoembolization combined with radiofrequency ablation based on specific laboratory and tumor indicators.A predictive scoring model, which estimates the incidence of macroscopic vascular invasion at 1-year follow-up, was constructed based on a derivation cohort of 324 patients with hepatocellular carcinoma; a validation cohort of 120 patients was prospectively included. The prognostic value of the scoring model was determined by concordance index, time-dependent receiver operating characteristics, and calibration curves.Cox multivariate analysis of the derivation cohort identified prothrombin time, aspartate aminotransferase, and Barcelona clinic liver cancer (BCLC) staging as independent predictive factors of macroscopic vascular invasion. The areas under the receiver operating characteristic curves of the predictive scoring model were 0.832 and 0.785 in the derivation and validation cohorts, respectively, and the calibration curves fitted well. Kaplan-Meier analysis showed that the incidence of macroscopic vascular invasion was significantly higher in the high-risk group (score 0-2) than in the low-risk group (score 3-4) in both the derivation and validation cohorts (P < .0001 and P = .0008, respectively).The predictive scoring model enables the accurate prediction of macroscopic vascular invasion incidence 1 year in advance in hepatocellular carcinoma patients who undergo transcatheter arterial chemoembolization combined with radiofrequency ablation.

Indexed as

AdultAgedAged, 80 and overCarcinoma, HepatocellularChemoembolization, TherapeuticFemaleFollow-Up StudiesHumansIncidenceLiver NeoplasmsMaleMiddle AgedModels, BiologicalNeoplasm InvasivenessPrognosisRadiofrequency Ablation

Identifiers

PMID30544459
PMCPMC6310496

What OpenQuestion holds

Textmetadata
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.