Evidence map›Paper›PMID 36310316›Full record

ArticleAnnals of surgical oncology2023

Maximum Value on Arterial Phase Computed Tomography Predicts Prognosis and Treatment Efficacy of Sunitinib for Pancreatic Neuroendocrine Tumours.

Haidi Chen, Zheng Li, Yuheng Hu, Xiaowu Xu, Zeng Ye, Xin Lou, Wuhu Zhang, Heli Gao, Yi Qin, Yue Zhang and 5 more

Abstract read
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In one paragraph

Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Haidi Chen *Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Zheng LiCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Yuheng Hu *Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaowu Xu *Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Zeng YeCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Xin LouCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Wuhu ZhangCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Heli GaoCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Yi QinCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Yue ZhangDepartment of Hepatobiliary and Pancreatic Surgery, The Third Affiliated Hospital of Suzhou University, The First People's Hospital of Changzhou, Changzhou, China.
Xuemin ChenDepartment of Hepatobiliary and Pancreatic Surgery, The Third Affiliated Hospital of Suzhou University, The First People's Hospital of Changzhou, Changzhou, China.
Jie ChenCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Wei TangDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China. tangwei105@163.com.
Xianjun YuCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China. yuxianjun@fudanpci.org.
Shunrong JiCenter for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China. jishunrong@fudanpci.org.
Fudan University Shanghai Cancer Center · CNShanghai Cancer Institute · CNShanghai Medical College of Fudan University · CNThe First People's Hospital of Changzhou · CN

Funding

Clinical Research Plan of Shanghai Hospital Development Center SHDC2020CR1006ANational Natural Science Foundation of China U21A20374National Science Foundation of China 821National Science Foundation of China 82172577National Science Foundation of China 82173281National Science Foundation of China 82173282National Science Foundation of China No. 82141129Scientific Innovation Project of Shanghai Education Committee 2019-01-07-00-07-E00057Shanghai Municipal Science and Technology Commission 20ZR1471100Shanghai Municipal Science and Technology Major Project 21JC1401500Xuhui District Artificial Intelligence Medical Hospital Cooperation Project 2021-011
6 · The paper itself

Abstract

purposeThis study was designed to assess the computed tomography maximum (CTmax) value on pretherapeutic arterial phase computed tomography (APCT) images to predict pancreatic neuroendocrine tumours (pNETs) recurrence and clarify its role in predicting the outcome of tumour therapy.

methodsThis retrospective study enrolled 250 surgical patients and 24 nonsurgical patients with sunitinib-based treatment in our hospital from 2008 to 2019. CT images were assessed, the maximum value was defined as "CTmax," and recurrence-free survival (RFS) or progression-free survival (PFS) was compared between a high-CTmax group and a low-CTmax group among patients who underwent surgical resection or nonsurgical, sunitinib-based treatment according to the CTmax cutoff value.

resultsIn ROC curve analysis, a CTmax of 108 Hounsfield units, as the cutoff value, achieved an AUC of 0.796 in predicting recurrence. Compared with the low-CTmax group, the high-CTmax group had a longer RFS (p < 0.001). Low CTmax was identified as an independent factor for RFS (p < 0.001) in multivariate analysis; these results were confirmed using the internal validation set. The CTmax value was significantly correlated with the microvascular density (MVD) value (p < 0.001) and the vascular endothelial growth factor receptor 2 (VEGFR2) score (p < 0.001). Furthermore, the high-CTmax group had a better PFS than the low-CTmax group among the sunitinib treatment group (p = 0.007).

conclusionsThe tumour CTmax on APCT might be a potential and independent indicator for predicting recurrence in patients who have undergone surgical resection and assessing the efficacy of sunitinib for patients with advanced metastatic pNETs.

Indexed as

Neuroectodermal Tumors, PrimitiveNeuroendocrine TumorsPancreatic NeoplasmsHumansPrognosisRetrospective StudiesSunitinibTomography, X-Ray ComputedTreatment OutcomeVascular Endothelial Growth Factor ASunitinibVascular Endothelial Growth Factor A

Identifiers

PMID36310316
OpenAlexW4307642674

What OpenQuestion holds

Textmetadata
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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.