Evidence map›Paper›PMID 32138704›Full record

ArticleBMC cancer2020

Validation and modification of staging Systems for Poorly Differentiated Pancreatic Neuroendocrine Carcinoma.

Haihong Wang, Zhenyu Lin, Guiling Li, Dejun Zhang, Dandan Yu, Qili Lin, Jing Wang, Ye Zhao, Guoliang Pi, Tao Zhang

Abstract readValidation Study
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Haihong WangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Zhenyu LinCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Guiling LiCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Dejun ZhangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Dandan YuCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Qili LinSchool of Business and Administration, Jiangxi University of Finance and Economics, Nanchang, China.
Jing WangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Ye ZhaoCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Guoliang PiDepartment of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430079, China.
Tao ZhangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. taozhangxh@hust.edu.cn.

Funding

Hubei Provincial Natural Science Foundation Guiding Project 2018CFC846National Natural Science Foundation of China 81874061The 7th Wuhan Young and Middle-aged Backbone Talent of Medical Training Project 2019 2019 No. 87
6 · The paper itself

Abstract

backgroundThe American Joint Committee on Cancer (AJCC) and the European Neuroendocrine Tumor Society (ENETS) staging classifications are two broadly used systems for pancreatic neuroendocrine tumors. This study aims to identify the most accurate and useful tumor-node-metastasis (TNM) staging system for poorly differentiated pancreatic neuroendocrine carcinomas (pNECs).

methodsAn analysis was performed to evaluate the application of the ENETS, 7th edition (7th) AJCC and 8th edition (8th) AJCC staging classifications using the Surveillance, Epidemiology, and End Results (SEER) registry (N = 568 patients), and a modified system based on the analysis of the 7th AJCC classification was proposed.

resultsIn multivariable analyses, only the 7th AJCC staging system allocated patients into four different risk groups, although there was no significant difference. We modified the staging classification by maintaining the T and M definitions of the 7th AJCC staging and adopting new staging definitions. An increased hazard ratio (HR) of death was also observed from class I to class IV for the modified 7th (m7th) staging system (compared with stage I disease; HR for stage II =1.23, 95% confidence interval (CI) = 0.73-2.06, P = 0.44; HR for stage III =2.20, 95% CI =1.06-4.56, P = 0.03; HR for stage IV =4.95, 95% CI =3.20-7.65, P < 0.001). The concordance index (C-index) was higher for local disease with the m7th AJCC staging system than with the 7th AJCC staging system.

conclusionsThe m7th AJCC staging system for pNECs proposed in this study provides improvements and may be assessed for potential adoption in the next edition.

Indexed as

SEER ProgramCarcinoma, NeuroendocrineFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisNeoplasm StagingPancreatic NeoplasmsRetrospective StudiesRiskSurvival RateNeoplasm stagingPancreatic neuroendocrine carcinomaPoorly differentiatedSEER program

Identifiers

PMID32138704
PMCPMC7059325

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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.