Evidence map›Paper›PMID 32774138›Full record

ArticleContemporary oncology (Poznan, Poland)2020

The value of multidetector-row computed tomography in lymph node staging of gastric cancer: a preliminary Vietnamese study.

Nguyen Van Sang, Nguyen Minh Duc, Pham Hong Duc, Phung Anh Tuan

Open access · goldAbstract read
In one paragraph

Article in Contemporary oncology (Poznan, Poland), 2020. 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
0.1field-weighted citation impact, top 48% 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, 1 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

4 authors at 4 institutions in 1 country.

Nguyen Van SangDepartment of Radiology, Hanoi University of Public Health, Hanoi, Vietnam.
Nguyen Minh DucDepartment of Radiology, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam.
Pham Hong DucDepartment of Radiology, Hanoi Medical University, Hanoi, Vietnam.
Phung Anh TuanDepartment of Radiology, Vietnam Military Medical University, Hanoi, Vietnam.
Hanoi Medical University · VNHanoi University · VNPham Ngoc Thach University of Medicine · VNVietnam Military Medical University · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGastric cancer (GC) is the fourth most common malignant disease in the world, following breast cancer, colorectal cancer, and lung cancer. This study aimed to evaluate the usefulness of multidetector-row computed tomography (MDCT) in identifying the metastatic lymph node of GC. MATERIAL AND

methodsA cross-sectional study was performed after receiving approval by the institutional review board. A total of 88 patients with GC, who underwent radical gastrectomy, were examined by MDCT. Categorical variables were compared using Fisher's exact test. The discriminating ability of lymph node size was determined according to an area under the receiver operating curve(AUROC) analysis, and the optimal cut-off point was determined.

resultsThe proportion of metastatic lymph node patients in the proximal group (32.3%) was significantly higher than that in the distal group (18.4%). T categorisation and lymph node sizes were significantly different between the non-metastatic lymph node and metastatic lymph node groups. The AUROC for lymph node size was 0.738, with an optimal cut-off point of 7.5 mm,producing a sensitivity of 71.5% and a specificity of 70.5%.

conclusionsMDCT displayed medium accuracy for the determination of metastatic lymph nodes and N categorisation. Based on our findings, although MDCT is generally the first choice for preoperative assessments in GC patients, other diagnostic modalities should supplement MDCT in order to achieve more precise N staging.

Indexed as

gastric cancerlymph nodeMDCTN staging

Identifiers

PMID32774138
PMCPMC7403761
OpenAlexW3044371245

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.