Evidence map›Paper›PMID 27166769›Full record

ArticleClinics (Sao Paulo, Brazil)2016

Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories.

Hang Li, Xiao-Li Chen, Jun-Ru Li, Zhen-Lin Li, Tian-Wu Chen, Hong Pu, Long-Lin Yin, Guo-Hui Xu, Zhen-Wen Li, Jing Reng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2016. 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
0.5field-weighted citation impact, top 29% 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, 8 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 1 country.

Hang LiDepartment of Radiology, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China.
Xiao-Li ChenDepartment of Radiology, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Jun-Ru LiDepartment of Out-patient, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Zhen-Lin LiDepartment of Out-patient, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Tian-Wu ChenSichuan Key Laboratory of Medical Imaging, North Sichuan Medical College, Nanchong, Sichuan, China.
Hong PuDepartment of Radiology, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China.
Long-Lin YinDepartment of Radiology, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China.
Guo-Hui XuDepartment of Radiology, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Zhen-Wen LiDepartment of Radiology, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Jing RengDepartment of Radiology, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Peng ZhouDepartment of Radiology, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Zhu-Zhong ChengDepartment of Radiology, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Ying CaoDepartment of Radiology, Sichuan Cancer Hospital, Chengdu, Sichuan, China.
Wenzhou Central Hospital · CNSichuan Cancer Hospital · CNNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether the gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict the presence of regional lymph node metastasis and could determine N categories. MATERIALS AND

methodsA total of 202 consecutive patients with gastric adenocarcinoma who had undergone gastrectomy 1 week after contrast-enhanced multidetector computed tomography were retrospectively identified. The gross tumor volume was evaluated on multidetector computed tomography images. Univariate and multivariate analyses were performed to determine whether the gross tumor volume could predict regional lymph node metastasis, and the Mann-Whitney U test was performed to compare the gross tumor volume among N categories. Additionally, a receiver operating characteristic analysis was performed to identify the accuracy of the gross tumor volume in differentiating N categories.

resultsThe gross tumor volume could predict regional lymph node metastasis (p<0.0001) in the univariate analysis, and the multivariate analyses indicated that the gross tumor volume was an independent risk factor for regional lymph node metastasis (p=0.005, odds ratio=1.364). The Mann-Whitney U test showed that the gross tumor volume could distinguish N0 from the N1-N3 categories, N0-N1 from N2-N3, and N0-N2 from N3 (all p<0.0001). In the T1-T4a categories, the gross tumor volume could differentiate N0 from the N1-N3 categories (cutoff, 12.3 cm3), N0-N1 from N2-N3 (cutoff, 16.6 cm3), and N0-N2 from N3 (cutoff, 24.6 cm3). In the T4a category, the gross tumor volume could differentiate N0 from the N1-N3 categories (cutoff, 15.8 cm3), N0-N1 from N2-N3 (cutoff, 17.8 cm3), and N0-N2 from N3 (cutoff, 24 cm3).

conclusionThe gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict regional lymph node metastasis and N categories.

Indexed as

Tumor BurdenAdenocarcinomaAdultAgedFemaleHumansLymphatic MetastasisLymph NodesMaleMiddle AgedMultidetector Computed TomographyMultivariate AnalysisNeoplasm StagingObserver VariationPrognosisRetrospective Studies

Identifiers

PMID27166769
PMCPMC4825194
OpenAlexW2337171447

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.