Evidence map›Paper›PMID 33711965›Full record

ArticleBMC cancer2021

A nomogram based on combining systemic and hepatic inflammation markers for predicting microscopic bile duct tumour thrombus in hepatocellular carcinoma.

Jun-Yi Wu, Ju-Xian Sun, Jia-Yi Wu, Xiao-Xiao Huang, Yan-Nan Bai, Yong-Yi Zeng, Zhi-Bo Zhang, Shu-Qun Cheng, Mao-Lin Yan

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 1 country.

Jun-Yi Wu *Department of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
Ju-Xian Sun *Department of Hepatic Surgery VI, The Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200433, China.
Jia-Yi WuDepartment of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
Xiao-Xiao HuangDepartment of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
Yan-Nan BaiDepartment of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
Yong-Yi ZengDepartment of Hepatobiliary Surgery, Mengchao Hepotabiliary Hospital of Fujian Medical University, Fuzhou, China.
Zhi-Bo ZhangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Shu-Qun ChengDepartment of Hepatic Surgery VI, The Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200433, China. chengshuqun@aliyun.com.
Mao-Lin YanDepartment of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China. yanmaolin74@163.com.
Fujian Medical University · CNEastern Hepatobiliary Surgery Hospital · CNFujian Provincial Hospital · CNMengchao Hepatobiliary Hospital · CN

Funding

Medical Innovation Project of Health and Family Planning Commission of Fujian Province 2018-CX-8
6 · The paper itself

Abstract

backgroundBile duct invasion is a relatively rare event and is not well characterised in hepatocellular carcinoma (HCC). It remains very difficult to diagnose HCC with bile duct tumour thrombus (BDTT) before surgery. Increasing evidence has revealed that inflammation plays a critical role in tumorigenesis. This study aimed to develop nomograms based on systemic and hepatic inflammation markers to predict microscopic BDTT (micro-BDTT) before surgery in HCC.

methodsA total of 723 HCC patients who underwent hepatectomy as initial therapy between January 2012 and June 2020 were included in the study. Logistic regression analysis was used to identify independent risk factors for micro-BDTT. The nomograms were constructed using significant predictors, including α-fetoprotein (AFP), alkaline phosphatase (ALP), direct bilirubin (DB), prognostic nutritional index (PNI), and γ-glutamyl transferase (γ-GT)/alanine aminotransferase (ALT). The prediction accuracies of the nomograms were evaluated using the area under the receiver operating characteristic (ROC) curve.

resultsAFP, ALP, DB, PNI, and γ-GT/ALT were independent risk factors for predicting micro-BDTT (P = 0.036, P = 0.004, P = 0.013, P = 0.012, and P = 0.006, respectively), which were assembled into the nomograms. The area under the ROC curve of the nomograms combining PNI and γ-GT/ALT for predicting micro-BDTT was 0.804 (95% confidence interval [CI]: 0.730-0.878). The sensitivity and specificity values when used in predicting micro-BDTT before surgery were 0.739 (95% CI: 0.612-0.866) and 0.781 (95% CI: 0.750-0.813), respectively.

conclusionsThe nomogram based on combining systemic and hepatic inflammation markers is suitable for predicting micro-BDTT before surgery in HCC patients, leading to a rational therapeutic choice for HCC.

Indexed as

NomogramsCarcinoma, HepatocellularCholestasis, IntrahepaticFemaleHepatectomyHumansJaundice, ObstructiveLiverLiver NeoplasmsMaleMiddle AgedNeoplasm InvasivenessRetrospective StudiesRisk AssessmentBile duct tumour thrombusHepatocellular carcinomaInflammationPredicting micro-BDTT

Identifiers

PMID33711965
PMCPMC7955625
OpenAlexW3118547844

What Socratic 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 Socratic graph.