Evidence map›Paper›PMID 32821076›Full record

ArticleWorld journal of gastroenterology2020

Enhancement parameters of contrast-enhanced computed tomography for pancreatic ductal adenocarcinoma: Correlation with pathologic grading.

Woorim Seo, Young Chul Kim, Seon Jeong Min, Sang Min Lee

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 13 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

4 authors at 2 institutions in 1 country.

Woorim SeoDepartment of Radiology, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi-do 18450, South Korea.
Young Chul KimDepartment of Radiology, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi-do 18450, South Korea. yochoru@gmail.com.
Seon Jeong MinDepartment of Radiology, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi-do 18450, South Korea.
Sang Min LeeDepartment of Radiology, Hallym University Sacred Heart Hospital, Gyeonggi-do 14068, South Korea.
Hallym University Dongtan Sacred Heart Hospital · KRHallym University Sacred Heart Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDA) is a malignancy with a high mortality rate and short survival time. The conventional computed tomography (CT) has been worldwide used as a modality for diagnosis of PDA, as CT enhancement pattern has been thought to be related to tumor angiogenesis and pathologic grade of PDA.

aimTo evaluate the relationship between the pathologic grade of pancreatic ductal adenocarcinoma and the enhancement parameters of contrast-enhanced CT.

methodsIn this retrospective study, 42 patients (Age, mean ± SD: 62.43 ± 11.42 years) with PDA who underwent surgery after preoperative CT were selected. Two radiologists evaluated the CT images and calculated the value of attenuation at the aorta in the arterial phase and the pancreatic phase (VA

resultsForty-two PDAs (23 men and 19 women) were divided into three groups: Well-differentiated (

conclusionCalculation of TAF might be useful in predicting the pathologic grade of PDA.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsAgedContrast MediaFemaleHumansMaleMiddle AgedPancreasRetrospective StudiesTomography, X-Ray ComputedContrast MediaClinical pathologyComputed tomographyDiagnostic imagingNeoplasm gradingPancreatic ductal carcinomaPrognosis

Identifiers

PMID32821076
PMCPMC7403799
OpenAlexW3045970775

What OpenQuestion holds

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LicenceCC BY-NC
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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.