Evidence map›Paper›PMID 37368114›Full record

ArticleEuropean radiology2023

Application of ultrasound shear wave elastography in pre-operative and quantitative prediction of clinically relevant post-operative pancreatic fistula after pancreatectomy: a prospective study for the investigation of risk evaluation model.

Xiao-Fan Tian, Lei Zhang, Wen-Hui Lou, Yi-Jie Qiu, Dan Zuo, Wen-Ping Wang, Yi Dong

Abstract read
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In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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4 · The record

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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

7 authors at 4 institutions in 1 country.

Xiao-Fan TianDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Lei ZhangDepartment of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Wen-Hui LouDepartment of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yi-Jie QiuDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Dan ZuoDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Wen-Ping WangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yi DongDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China. drdaisydong@hotmail.com.
Zhongshan Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CNFudan University · CNXinHua Hospital · CN

Funding

Clinical Research Plan of Shanghai Hospital Development Center Grant No. SHDC2020CR1031BClinical Research Plan of Shanghai Hospital Development Center Grant No. SHDC2020CR4060National Natural Science Foundation of China Grant No. 82071942Shanghai Pujiang Program Grant No. 2020PJD008
6 · The paper itself

Abstract

objectivesThe aim of this study was to modify recognized clinically relevant post-operative pancreatic fistula (CR-POPF) risk evaluation models with quantitative ultrasound shear wave elastography (SWE) values and identified clinical parameters to improve the objectivity and reliability of the prediction.

methodsTwo prospective, successive cohorts were initially designed for the establishment of CR-POPF risk evaluation model and the internal validation. Patients who scheduled to receive pancreatectomy were enrolled. Virtual touch tissue imaging and quantification (VTIQ)-SWE was used to quantify pancreatic stiffness. CR-POPF was diagnosed according to 2016 International Study Group of Pancreatic Fistula standard. Recognized peri-operative risk factors of CR-POPF were analyzed, and the independent variables selected from multivariate logistic regression were used to build the prediction model.

resultsFinally, the CR-POPF risk evaluation model was built in a group of 143 patients (cohort 1). CR-POPF occurred in 52/143 (36%) patients. Constructed from SWE values and other identified clinical parameters, the model achieved an area under the receiver operating characteristic curve of 0.866, with sensitivity, specificity, and likelihood ratio of 71.2%, 80.2%, and 3.597 in predicting CR-POPF. Decision curve of modified model revealed a better clinical benefit compared to the previous clinical prediction models. The models were then examined via internal validation in a separate collection of 72 patients (cohort 2).

conclusionsRisk evaluation model based on SWE and clinical parameters is a potential non-invasive way to pre-operatively, objectively predict CR-POPF after pancreatectomy. CLINICAL RELEVANCE STATEMENT: Our modified model based on ultrasound shear wave elastography may provide an easy access in pre-operative and quantitative evaluating the risk of CR-POPF following pancreatectomy and improve the objectivity and reliability of the prediction compared to previous clinical models. KEY POINTS: • Modified prediction model based on ultrasound shear wave elastography (SWE) provides an easy access for clinicians to pre-operatively, objectively evaluate the risk of clinically relevant post-operative pancreatic fistula (CR-POPF) following pancreatectomy. • Prospective study with validation showed that the modified model provides better diagnostic efficacy and clinical benefits compared to previous clinical models in predicting CR-POPF. • Peri-operative management of CR-POPF high-risk patients becomes more possible.

Indexed as

Elasticity Imaging TechniquesPancreatectomyHumansPancreatic FistulaPancreaticoduodenectomyPostoperative ComplicationsProspective StudiesReproducibility of ResultsRetrospective StudiesRisk FactorsPancreatectomyPost-operative pancreatic fistula (POPF)Pre-operative risk evaluation modelShear wave elastography (SWE)Ultrasound

Identifiers

PMID37368114
OpenAlexW4382181457

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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.