Evidence map›Paper›PMID 37035138›Full record

ArticleFrontiers in oncology2023

Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model.

Xin-Yu Ge, Ming-Chen Sun, Tian-Yi Wang, Xi-Min Wang, Gang Liu, Tao Yang, Yi-Ming Lu, Wei Wang

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Xin-Yu GeFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Ming-Chen SunFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Tian-Yi WangFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Xi-Min WangJinzhou Medical University, Jinzhou, Liaoning, China.
Gang LiuJinzhou Medical University, Jinzhou, Liaoning, China.
Tao YangFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Yi-Ming LuJinzhou Medical University, Jinzhou, Liaoning, China.
Wei WangFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer is a common malignancy of the digestive system. Hepatocellular carcinoma (HCC) accounts for the most majority of these tumors and it has brought a heavy medical burden to underdeveloped countries and regions. Many factors affect the prognosis of HCC patients, however, there is no specific statistical model to predict the survival time of clinical patients. This study derived a risk factor signature of HCC and reliable clinical prediction model by statistically analyzing The Surveillance, Epidemiology, and End Results (SEER) database patient information using an open source package in the python environment.

Indexed as

HCC (hepatic cellular carcinoma)machine learning - MLrandom survival forest modelrisk factorsSEER (Surveillance Epidemiology and End Results) database

Identifiers

PMID37035138
PMCPMC10073455

What OpenQuestion holds

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Registered trials

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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.