Evidence map›Paper›PMID 30961559›Full record

ArticleBMC cancer2019

Risk factors affecting prognosis in metachronous liver metastases from WHO classification G1 and G2 gastroenteropancreatic neuroendocrine tumors after initial R0 surgical resection.

Yang Lv, Xu Han, Xue-Feng Xu, Yuan Ji, Yu-Hong Zhou, Hui-Chuan Sun, Jian Zhou, Jia Fan, Wen-Hui Lou, Cheng Huang

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  9. Observational
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  11. Asia Oceania journal of nuclear medicine & biology · 2022
    Article
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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

10 authors at 3 institutions in 2 countries.

Yang LvDepartment of Pancreatic Surgery, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Xu HanDepartment of Pancreatic Surgery, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Xue-Feng XuDepartment of Pancreatic Surgery, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Yuan JiDepartment of Pathology, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Yu-Hong ZhouDepartment of Oncology, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Hui-Chuan SunDepartment of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Jian ZhouDepartment of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Jia FanDepartment of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China.
Wen-Hui LouDepartment of Pancreatic Surgery, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China. lou.wenhui@zs-hospital.sh.cn.
Cheng HuangDepartment of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Rd, Shanghai, 200032, China. huang.cheng@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0002-6013-0558
Fudan University · CNMinistry of Education of the People's Republic of China · CNSun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81572294National Natural Science Foundation of China 81572298National Natural Science Foundation of China 81871929
6 · The paper itself

Abstract

backgroundHere we describe the treatments and prognosis for metachronous metastases from gastroenteropancreatic neuroendocrine tumors (GEP-NETs) after initial R0 surgical resection at a large center in China.

methodsThe clinicopathological data and survival outcomes for 108 patients (median age, 54.0 years) with metachronous hepatic metastatic GEP-NETs disease who were initially treated using R0 surgical resection between August 2003 and July 2014 were analyzed using one-way comparisons, survival analysis, and a predictive nomogram.

resultsFifty-five (50.9%) patients had pancreatic NETs and 92 (85.2%) had G2 primary tumors. For treatment of the hepatic metastases, 48 (44.4%) patients received liver-directed local treatment (metastasectomy, radiofrequency ablation, transcatheter arterial chemoembolization, etc.), 15 (13.9%) received systemic treatment (interferon, somatostatin analogs, etc.), and 45 (41.7%) received both treatments. Multivariable analyses revealed that OS was associated with hepatic tumor number (P < 0.001), treatment modality (P = 0.045), and elevated Ki-67 index between the metastatic and primary lesions (P = 0.027). The predictive nomogram C-index was 0.63.

conclusionsA higher Ki-67 index in metastases compared to primary tumor was an independent factor for poor prognosis. Local treatment was associated with prolonged survival of hepatic metastatic GEP-NET patients. Optimal treatment strategies based on clinicopathological characteristics should be developed.

Indexed as

NomogramsAntineoplastic AgentsCatheter AblationChemoembolization, TherapeuticChinaFemaleFollow-Up StudiesHumansIntestinal NeoplasmsLiver NeoplasmsMaleMiddle AgedNeoplasm GradingNeuroendocrine TumorsPancreatic NeoplasmsPredictive Value of TestsAntineoplastic AgentsGastroenteropancreatic neuroendocrine tumorMetachronous liver metastasisNomogramPrognosis

Identifiers

PMID30961559
PMCPMC6454726
OpenAlexW2942952274

What OpenQuestion holds

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LicenceCC BY
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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.