Evidence map›Paper›PMID 36312834›Full record

ArticleWorld journal of gastroenterology2022

Online calculator for predicting the risk of malignancy in patients with pancreatic cystic neoplasms: A multicenter, retrospective study.

Dong Jiang, Zi-Xiang Chen, Fu-Xiao Ma, Yu-Yong Gong, Tian Pu, Jiang-Ming Chen, Xue-Qian Liu, Yi-Jun Zhao, Kun Xie, Hui Hou and 3 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 2 institutions in 1 country.

Dong JiangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Zi-Xiang ChenDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Fu-Xiao MaDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Yu-Yong GongDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Tian PuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Jiang-Ming ChenDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Xue-Qian LiuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Yi-Jun ZhaoDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Kun XieDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Hui HouDepartment of General Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Cheng WangDepartment of General Surgery, The First Affiliated Hospital of University of Science and Technology of China, Hefei 230000, Anhui Province, China.
Xiao-Ping GengDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China.
Fu-Bao LiuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui Province, China. lancetlfb@126.com.
Anhui Medical University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEfficient and practical methods for predicting the risk of malignancy in patients with pancreatic cystic neoplasms (PCNs) are lacking.

aimTo establish a nomogram-based online calculator for predicting the risk of malignancy in patients with PCNs.

methodsIn this study, the clinicopathological data of target patients in three medical centers were analyzed. The independent sample t-test, Mann-Whitney U test or chi-squared test were used as appropriate for statistical analysis. After univariable and multivariable logistic regression analysis, five independent factors were screened and incorporated to develop a calculator for predicting the risk of malignancy. Finally, the concordance index (C-index), calibration, area under the curve, decision curve analysis and clinical impact curves were used to evaluate the performance of the calculator.

resultsEnhanced mural nodules [odds ratio (OR): 4.314; 95% confidence interval (CI): 1.618-11.503,

conclusionThe calculator demonstrates optimal predictive performance for identifying the risk of malignancy, potentially yielding a personalized method for patient selection and decision-making in clinical practice.

Indexed as

Pancreatic NeoplasmsCA-19-9 AntigenHumansNomogramsRetrospective StudiesRisk FactorsCA-19-9 AntigenCalculatorModelNomogramPancreatic cystic neoplasmsPredictionRisk of malignancy

Identifiers

PMID36312834
PMCPMC9611704
OpenAlexW4298012276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.