Evidence map›Paper›PMID 28008144›Full record

ArticleOncotarget2017

Preoperatively staging liver fibrosis using noninvasive method in hepatitis B virus-infected hepatocellular carcinoma patients.

Hengyi Gao, Feng Zhu, Min Wang, Hang Zhang, Dawei Ye, Jiayin Yang, Li Jiang, Chang Liu, Renyi Qin, Lunan Yan and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
0.2field-weighted citation impact, top 33% of its field
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, 2 citations in OpenAlex.

  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

11 authors at 3 institutions in 1 country.

Hengyi GaoDepartment of General Surgery, Guizhou Provincial People's Hospital, Guiyang, China.
Feng ZhuDepartment of Hepato-Pancreato-Biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Min WangDepartment of Hepato-Pancreato-Biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hang ZhangDepartment of Hepato-Pancreato-Biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dawei YeDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiayin YangDepartment of Liver Surgery, West China Hospital of Sichuan University, Chengdu, China.
Li JiangDepartment of State Key Laboratory of Biotherapy and Pathology, West China Hospital of Sichuan University, Chengdu, China.
Chang LiuDepartment of State Key Laboratory of Biotherapy and Pathology, West China Hospital of Sichuan University, Chengdu, China.
Renyi QinDepartment of Hepato-Pancreato-Biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lunan YanDepartment of Liver Surgery, West China Hospital of Sichuan University, Chengdu, China.
Guangqin XiaoDepartment of Hepato-Pancreato-Biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tongji Hospital · CNSichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced liver fibrosis can result in serious complications (even patient's death) after partial hepatectomy. Preoperatively percutaneous liver biopsy is an invasive and expensive method to assess liver fibrosis. We aim to establish a noninvasive model, on the basis of preoperative biomarkers, to predict liver fibrosis in hepatocellular carcinoma (HCC) patients with hepatitis B virus (HBV) infection.

methodsThe HBV-infected liver cancer patients who had received hepatectomy were retrospectively and prospectively enrolled in this study. Univariate analysis was used to compare the variables of the patients with mild to moderate liver fibrosis and with severe liver fibrosis. The significant factors were selected into binary logistic regression analysis. Factors determined to be significant were used to establish a noninvasive model. Then the diagnostic accuracy of this novel model was examined based on sensitivity, specificity and area under the receiver-operating characteristic curve (AUC).

resultsThis study included 2,176 HBV-infected HCC patients who had undergone partial hepatectomy (1,682 retrospective subjects and 494 prospective subjects). Regression analysis indicated that total bilirubin and prothrombin time had positive correlation with liver fibrosis. It also demonstrated that blood platelet count and fibrinogen had negative correlation with liver fibrosis. The AUC values of the model based on these four factors for predicting significant fibrosis, advanced fibrosis and cirrhosis were 0.79-0.83, 0.83-0.85 and 0.85-0.88, respectively.

conclusionThe results showed that this novel preoperative model was an excellent noninvasive method for assessing liver fibrosis in HBV-infected HCC patients.

Indexed as

AdultArea Under CurveBilirubinBiomarkersCarcinoma, HepatocellularFemaleFibrinogenHepatectomyHepatitis B, ChronicHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedNeoplasm StagingPlatelet CountBilirubinBiomarkersFibrinogenProthrombinhepatitis B virushepatocellular carcinomaliver fibrosisnoninvasivepreoperatively

Identifiers

PMID28008144
PMCPMC5354832
OpenAlexW2564198469

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.