Evidence map›Paper›PMID 36874109›Full record

ArticleFrontiers in oncology2023

Development of a nomogram to predict the risk of hepatocellular carcinoma in patients with hepatitis B-related cirrhosis on antivirals.

Ke Shi, Ping Li, Qun Zhang, Yi Zhang, Yufei Bi, Xuanwei Zeng, Xianbo Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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 49% 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, 1 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

7 authors at 3 institutions in 1 country.

Ke ShiCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Ping LiDepartment of Hepatology, Tianjin Second People's Hospital, Tianjin, China.
Qun ZhangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yi ZhangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yufei BiCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xuanwei ZengCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xianbo WangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Beijing Ditan Hospital · CNCapital Medical University · CNTianjin People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patients with compensated hepatitis B-related cirrhosis receiving antivirals are at the risk of hepatocellular carcinoma (HCC). This study aimed to develop and validate a nomogram for predicting the incidence of HCC in patients with hepatitis-B related cirrhosis. Design: A total of 632 patients with compensated hepatitis-B related cirrhosis treated with entecavir or tenofovir between August 2010 and July 2018 were enrolled. Cox regression analysis was used to identify independent risk factors for HCC and a nomogram was developed using these factors. The area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analyses were used to evaluate the nomogram performance. The results were validated in an external cohort (n = 324). Results: In the multivariate analysis, age per 10 years, neutrophil-lymphocyte ratio > 1.6, and platelet count < 86×10 Conclusion: The nomogram showed good discrimination and calibration in estimating HCC risk in patients with hepatitis-B related cirrhosis on antivirals. High-risk patients with a score > 10 points require close surveillance.

Indexed as

cirrhosishepatitis B virushepatocellular carcinomaprediction modelrisk stratification

Identifiers

PMID36874109
PMCPMC9978349
OpenAlexW4321108087

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.