Evidence map›Paper›PMID 35761414›Full record

ArticleRadiation oncology (London, England)2022

Prognostic significance of MRI-based late-course tumor volume in locoregionally advanced nasopharyngeal carcinoma.

Ge Yan, Yan Feng, Mingyao Wu, Chao Li, Yiran Wei, Li Hua, Guoqi Zhao, Zhekai Hu, Shengyu Yao, Lingtong Hou and 3 more

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

Article in Radiation oncology (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

13 authors at 3 institutions in 2 countries.

Ge YanDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Yan FengDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Mingyao WuDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Chao LiDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, CB3 0WA, UK.
Yiran WeiDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
Li HuaSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Guoqi ZhaoDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Zhekai HuDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Shengyu YaoDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Lingtong HouDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Xuming ChenDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Qianqian LiuDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Qian HuangThe Comprehensive Cancer Center and Shanghai Key Laboratory of Pancreatic Diseases, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, 201620, China. huangqian_sjtu@163.com.
Shanghai Jiao Tong University · CNShanghai First People's Hospital · CNUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo validate tumor volume-based imaging markers for predicting local recurrence-free survival (LRFS) in locoregionally advanced nasopharyngeal carcinoma patients, who underwent induction chemotherapy followed by definitive intensity-modulated radiotherapy.

methodsWe enrolled 145 patients with stage III-IVA nasopharyngeal carcinoma in this retrospective study. Pre-treatment tumor volume (V

resultsThe LCV was 5.3 ± 0.5 (range 0-42.1) cm

conclusionsLCV is a promising prognostic factor for local control and chemoradiosensitivity in patients with locoregionally advanced NPC. The LCV, and the combination of LCV with VRR are more robust predictors for patient survival than T category.

Indexed as

CarcinomaNasopharyngeal NeoplasmsRadiotherapy, Intensity-ModulatedDisease-Free SurvivalHumansMagnetic Resonance ImagingNasopharyngeal CarcinomaNeoplasm StagingPrognosisRetrospective StudiesTumor BurdenLate-course volume (LCV)Local recurrence-free survival (LRFS)Locoregionally advanced nasopharyngeal carcinoma (LA-NPC)TNM staging systemVolume regression rate (VRR)

Identifiers

PMID35761414
PMCPMC9235113
OpenAlexW4283589772

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.