Evidence map›Paper›PMID 35979266›Full record

ArticleWorld journal of gastroenterology2022

Prognostic value of preoperative enhanced computed tomography as a quantitative imaging biomarker in pancreatic cancer.

Jian-Feng Gao, Yu Pan, Xian-Chao Lin, Feng-Chun Lu, Ding-Shen Qiu, Jun-Jun Liu, He-Guang Huang

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Article in World journal of gastroenterology, 2022. 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
–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

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Jian-Feng GaoDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
Yu PanDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
Xian-Chao LinDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
Feng-Chun LuDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
Ding-Shen QiuDepartment of Radiology, The Hospital of Changle, Fuzhou 350200, Fujian Province, China.
Jun-Jun LiuDepartment of Radiology, The Hospital of Changle, Fuzhou 350200, Fujian Province, China.
He-Guang HuangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China. Heguanghuang22@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with high mortality and short survival time. Computed tomography (CT) plays an important role in the diagnosis, staging and treatment of pancreatic tumour. Pancreatic cancer generally shows a low enhancement pattern compared with normal pancreatic tissue.

aimTo analyse whether preoperative enhanced CT could be used to predict postoperative overall survival in patients with PDAC.

methodsSixty-seven patients with PDAC undergoing pancreatic resection were enrolled retrospectively. All patients underwent preoperative unenhanced and enhanced CT examination, the CT values of which were measured. The ratio of the preoperative CT value increase from the nonenhancement phase to the portal venous phase between pancreatic tumour and normal pancreatic tissue was calculated. The cut-off value of ratios was obtained by the receiver operating characteristic (ROC) curve of the tumour relative enhancement ratio (TRER), according to which patients were divided into low- and high-enhancement groups. Univariate and multivariate analyses were performed using Cox regression based on TRER grouping. Finally, the correlation between TRER and clinicopathological characteristics was analysed.

resultsThe area under the curve of the ROC curve was 0.768 (

conclusionTRER ≤ 0.7 in patients with PDAC may represent a tumour with higher clinical stage and result in a shorter overall survival.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkersHumansPrognosisRetrospective StudiesROC CurveTomography, X-Ray ComputedBiomarkersComputed tomographyDiagnostic imagingKaplan-Meier curvePancreatic cancerPrognosisSurvival analysis

Identifiers

PMID35979266
PMCPMC9258279

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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.