Evidence map›Paper›PMID 33747918›Full record

ArticleFrontiers in oncology2021

Clinical Characteristics and Prognosis of Patients With Pulmonary Mucoepidermoid Carcinoma: A SEER-Based Analysis.

Lingxiao Qiu, Pan Song, Pingmei Chen, Huaqi Wang, Fangfang Li, Mengxuan Shu, Gen-Cheng Gong, Xiangjin Song, Chun Huang, Hongxia Jia and 2 more

Erratum issuedAbstract 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. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  6. Review
  7. Article
  8. Article
  9. Photodynamic therapy for pulmonary mucoepidermoid carcinoma.Respiratory medicine case reports · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Lingxiao QiuDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Pan SongDepartment of Urology, West China Hospital of Sichuan University, Chengdu, China.
Pingmei ChenDepartment of Neonatology, West China Guang'an Hospital, Sichuan University, Guang'an, China.
Huaqi WangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Fangfang LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengxuan ShuThe First Clinical Medical College of Lanzhou University, Lanzhou, China.
Gen-Cheng GongState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiangjin SongDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chun HuangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hongxia JiaDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Nana LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Guojun ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary pulmonary mucoepidermoid carcinoma (PMEC) is an extremely rare malignancy. Its clinical characteristics and prognosis are not fully understood. This study evaluated clinical characteristics and prognostic factors of PMEC and established a nomogram to predict its 1-, 3-, 5- and 10-year cancer-specific survival (CSS) rates.

methodsIn the Surveillance, Epidemiology, and End Results database from January 1, 1975 to December 31, 2016, patients pathologically diagnosed with PMEC were identified. Kaplan-Meier analysis and Cox regression were performed to evaluate the CSS stratified by different covariates. A predictive nomogram model was built and validated by the concordance index (C-index) and calibration curves.

resultsA total of 585 PMEC patients were identified. A total of 408 (70%) of patients were placed into the training cohort, and 177 (30%) patients were placed into the validation cohort. The 5- and 10-year CSS rates of stage I-II PMEC patients were 91.4 and 88.9, respectively. The 1-, 3- and 5-year CSS rates of stage III-IV PMEC were 56.5, 39.45, and 32.1%, respectively. Survival curves showed that older age, large tumor size, poor differentiation, and high TNM stage were associated with a significantly worse prognosis. CSS outcomes were significantly better in patients who received surgical treatments (surgical alone, surgery plus radiation and/or chemotherapy). Patients who received radiation and/or chemotherapy had the worst prognosis. Multivariate Cox results revealed that covariates, including age, tumor laterality, tumor sizes, pathological differentiation, lymph node metastasis, distant metastasis, TNM stage and therapy, were independent prognostic factors for PMEC. These factors were used to construct a nomogram. The C-index of the nomogram was 0.921. The calibration curve presented favorable consistency between the predicted CSS and actual observations. This nomogram was validated by the validation cohort. The C-index of the validation cohort was 0.968.

conclusionAge, bilateral tumors, tumor size, pathological differentiation grade, lymph node metastasis, distant metastasis, TNM stage and therapy were independent prognostic factors of PMEC patients. The first nomogram for predicting the CSS of PMEC was built and validated, showing its potential value in practice.

Indexed as

clinical characteristicsnomogramprognosispulmonary mucinous epidermoid carcinomaSurveillance, Epidemiology, and End Results (SEER)

Identifiers

PMID33747918
PMCPMC7973275

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