Evidence map›Paper›PMID 29739948›Full record

SynthesisScientific reports2018

A meta-analysis of Prognostic factor of Pancreatic neuroendocrine neoplasms.

Yong Gao, Hao Gao, Guangfu Wang, Lingdi Yin, Wenbin Xu, Yunpeng Peng, Junli Wu, Kuirong Jiang, Yi Miao

Registry-linked trialOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03918759 (Diagnostic Accuracy of 68Gallium Positron Emission Tomography/ Magnetic Resonance Imaging), which is not on this map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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.

NCT03918759 completednot on this map

Diagnostic Accuracy of 68Gallium Positron Emission Tomography/ Magnetic Resonance Imaging (68Ga PET/MRI), Endoscopic Ultrasound (EUS) and Computed Tomography in the Assessment of Lymph Node Metastases by Nonfunctioning Pancreatic Neuroendocrine Neoplasms

TypeobservationalSponsorIRCCS San RaffaeleRan2018 to 2022Enrolled100ConditionsNon Functioning Pancreatic Endocrine Tumor
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Size alone is not enough: Ki-67 and invasion patterns identify high-risk pancreatic neuroendocrine tumors.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2026
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  10. A Machine Learning Approach Using [Molecular imaging and biology · 2023
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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

9 authors at 2 institutions in 1 country.

Yong GaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Hao GaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Guangfu WangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Lingdi YinPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Wenbin XuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Yunpeng PengPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Junli WuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Kuirong JiangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Yi MiaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China. miaoyi@njmu.edu.cn.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic neuroendocrine neoplasms (pNENs) are a group of clinically rare and heterogeneous diseases of the pancreas. However, the prognostic factors for this disease in patients still remain controversial. The purpose of our study is to evaluate the predictive roles of those prognostic factors for pNENs. All related articles published until Sep 17, 2017 were identified via PubMed, EMBASE, Web of Science, Ovid and the Cochrane Library. Studies that examined the prognostic factors of pNENs were enrolled. 17 articles (2822 patients) were finally included in this study. The pooled data suggested that patients with positive surgical resection margin and lymph node, advanced G stage and TMN stage, organ metastasis, vascular invasion and the necrosis of specimens had a decreased overall survival for pNENs. Similarly, patients with functional tumors might have a poor prognosis. However, age, gender, surgical type and size of tumor could not be regarded as prognostic factors for pNENs. Our analytic data demonstrated that surgical resection margin, G stage, TMN stage, lymph node, metastasis, vascular invasion and the necrosis could be prognostic factors for pNENs. Our study may assist doctors to screen patients with different prognosis more efficiently during follow-up and select appropriate treatment measures.

Indexed as

PrognosisAdultAgedAge FactorsDisease-Free SurvivalFemaleHumansLymphatic MetastasisLymph NodesMaleMargins of ExcisionMiddle AgedNeoplasm StagingNeuroendocrine TumorsPancreasPancreatic Neoplasms

Identifiers

PMID29739948
PMCPMC5940798
OpenAlexW2805232381

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.