Evidence map›Paper›PMID 33058559›Full record

ArticleCancer medicine2020

Clinical characteristics and survival outcomes of ascending, descending and mixed types of nasopharyngeal carcinoma in the non-endemic areas of china: A propensity score matching analysis.

Yixin Fan, Wenqiang Guan, Rui Huang, Stefan Yujie Lin, Yanqiong Song, Shun Lu, Le Kang, Qin Yang, Jinyi Lang, Peng Zhang

Abstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 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.

Yixin FanDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.ORCID 0000-0002-3598-077X
Wenqiang GuanDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Rui HuangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Stefan Yujie LinDepartment of Computer Science and Engineering, Office for Student Affairs, University of Minnesota-Twin Cities, Economics Institute, School of Statistics, Minneapolis, MN, USA.
Yanqiong SongDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Shun LuDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.ORCID 0000-0002-1833-475X
Le KangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Qin YangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Jinyi LangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Peng ZhangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the clinical characteristics and survival outcomes of patients with ascending type (type A), descending type (type D), and mixed type (type AD) of nasopharyngeal carcinoma (NPC) in non-endemic areas. MATERIALS AND

methodsThe cohort included 628 patients diagnosed with type A, type D, and type AD of NPC between January 2009 and December 2014. Type A was defined as T

resultsThere were 145 patients with type A, 194 with type D, and 289 with type AD. However, after PSM, there were only 130 patients with each type. Compared with patients with type A, those with type D had lower 5-year disease-specific survival (96.9% vs 91.5%) and distant metastasis-free survival (92.3% vs 77.7%) and higher local relapse-free survival (88.5% vs 96.9%) (p < 0.05 for all). Patients with type AD may have an increased risk of disease progression (progression-free survival, 56.9% vs 74.6% and 66.2%) and death (overall survival [OS], 76.9% vs 85.4% and 85.4%) (p < 0.05 for all) compared to patients with the other two types of tumors. We further analyzed the metastasis trend. Similar metastasis patterns were observed in types AD and D, and types AD and A had similar recurrence trends. The mortality rate of patients with types AD and D in the first 3 years after metastasis was remarkably higher than that of patients with type A.

conclusionsIn non-endemic areas of China, metastases and recurrence patterns differed across tumor types. Type AD has the worst OS, and the clinical process is more radical. Type D has a lower recurrence rate, higher metastasis, and disease-related mortality rates, and poorer prognosis after metastasis than type A.

Indexed as

ChemoradiotherapyChinaDatabases, FactualEndemic DiseasesFemaleHumansMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsNeoplasm MetastasisNeoplasm Recurrence, LocalNeoplasm StagingRetrospective StudiesSurvival Rateascending typeclinical characteristicsdescending typemixed typenasopharyngeal carcinomanon-endemic areasurvival outcomes

Identifiers

PMID33058559
PMCPMC7774743

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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.