Evidence map›Paper›PMID 36376905›Full record

ArticleEuropean journal of medical research2022

Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer.

Yanan Liu, Zhiguang Gao, Cheng Peng, Xingli Jiang

Abstract read
In one paragraph

Article in European journal of medical research, 2022. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Yanan LiuDepartment of Gastroenterology, Harbin Institute of Technology Heilongjiang Hospital, 82 Zhongshan Road, Harbin, 150036, Heilongjiang, People's Republic of China.
Zhiguang GaoDepartment of Otorhinolaryngology, Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology, 82 Zhongshan Road, Harbin, 150036, Heilongjiang, People's Republic of China.
Cheng PengDepartment of Otorhinolaryngology, Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology, 82 Zhongshan Road, Harbin, 150036, Heilongjiang, People's Republic of China.
Xingli JiangDepartment of Otorhinolaryngology, Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology, 82 Zhongshan Road, Harbin, 150036, Heilongjiang, People's Republic of China. jxl_0517@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We constructed a prognostic score (PS) model to predict the recurrence risk in patients previously diagnosed with laryngeal cancer (LC). Here the training dataset, consisting of 82 LC samples, was downloaded from The Cancer Genome Atlas (TCGA). The PS model then divided the LC samples into high- and low-risk groups, which predicted well the survival time of LC in three datasets (TCGA dataset: AUC = 0.899; GSE27020: AUC = 0.719; and GSE25727: AUC = 0.662). Therefore, the PS model based on the 10 genes and its nomogram is proposed to help predict the recurrence risk in patients with LC.

Indexed as

Laryngeal NeoplasmsHumansPrognosisLaryngeal cancerPrognosisRecurrence

Identifiers

PMID36376905
PMCPMC9661785

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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.