Evidence map›Paper›PMID 33777748›Full record

ArticleFrontiers in oncology2021

Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model.

Yuyan Chen, Zelong Liu, Yunxian Mo, Bin Li, Qian Zhou, Sui Peng, Shaoqiang Li, Ming Kuang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  19. Liver Resection for Hepatocellular Carcinoma: Recent Advances.Journal of clinical and experimental hepatology
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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

8 authors at 3 institutions in 1 country.

Yuyan ChenDepartment of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zelong LiuDivision of Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yunxian MoState Key Laboratory of Oncology in South China, Department of Radiology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Bin LiClinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Qian ZhouClinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sui PengClinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shaoqiang LiDepartment of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ming KuangDepartment of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

hepatocellular carcinomamagnetic resonance imagingpost-hepatectomy liver failureprediction modelradiomics

Identifiers

PMID33777748
PMCPMC7987905
OpenAlexW3133524012

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.