Evidence map›Paper›PMID 31304070›Full record

ArticlePeerJ2019

Nomogram to predict the prognosis of parotid gland mucoepidermoid carcinoma: a population-based study of 1306 cases.

Jian Sun, Yang Sun, Fei Yang, Qianrong Zhou, Wenjuan Liu, Yong Cheng, Xingwen Wu, Tinglan Chen, Ruixue Li, Borui Huang and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

13 authors at 3 institutions in 3 countries.

Jian Sun *Department of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yang Sun *Department of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fei YangDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Qianrong ZhouDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenjuan LiuDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yong ChengDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xingwen WuDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Tinglan ChenDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Ruixue LiDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Borui HuangDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Wael AttDepartment of Prosthodontics, School of Dentistry, Albert Ludwigs University, Freiburg, Germany.
Youcheng YuDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Wei BiDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fudan University · CNUniversity of Freiburg · DEZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMucoepidermoid carcinoma (MEC) is a common cancer in the oral salivary gland malignancy, which mainly occurs in the parotid gland. The aim of this study is to identify independent prognostic factors and establish a nomogram model for parotid gland mucoepidermoid carcinoma (P-MEC) patients using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database.

methodPatients with P-MEC were selected from between 2004 and 2015. The overall survival (OS) and cancer-specific survival (CSS) rates were estimated using the Kaplan-Meier method with the log-rank test. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify the independent prognostic factors.

resultsA total of 1,306 patients with P-MEC were enrolled. Age, grade, T stage, N stage, M stage, chemotherapy, and surgery type were independent prognostic factors for OS and CSS. A nomogram for OS was formulated based on these independent prognostic factors and validated using an internal bootstrap resampling approach, which showed that the nomogram exhibited a sufficient level of discrimination according to the C-index (0.877, 95% CI [0.855-0.898]).

conclusionSeveral prognostic factors for P-MEC were identified. The nomogram developed in this study accurately predicted the 5- and 10-year OS rates of American patients with P-MEC based on individual characteristics. Risk stratification using the survival nomogram can optimize individual therapies and follow-up.

Indexed as

Mucoepidermoid carcinomaNomogramParotid glandPrognosisSEER database

Identifiers

PMID31304070
PMCPMC6610557
OpenAlexW2954226212

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.