Evidence map›Paper›PMID 24253141›Full record

ArticleAnnals of surgery2014

Regional lymphadenectomy is indicated in the surgical treatment of pancreatic neuroendocrine tumors (PNETs).

Yassar M Hashim, Kathryn M Trinkaus, David C Linehan, Steven S Strasberg, Ryan C Fields, Dengfeng Cao, William G Hawkins

2 registry-linked trialsAbstract readEvaluation Study
In one paragraph

Article in Annals of surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 110 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 4 pooled it
8.3field-weighted citation impact, top 2% 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.

NCT03084770 unknown statusnot on this mapstarted 2017, after this paper: background citation

A Prospective Evaluation of the Management of Sporadic Asymptomatic Nonfunctioning Pancreatic Neuroendocrine Neoplasms ≤ 2 cm

TypeobservationalSponsorIRCCS San RaffaeleRan2017 to 2024Enrolled1,000ConditionsNon Functioning Pancreatic Endocrine TumorArmsRadiological imaging studies, Quality of Life Assessment
NCT03918759 completednot on this mapstarted 2018, after this paper: background citation

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

110 citing papers in PubMed, 4 syntheses or guidelines pooled it, 254 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 1 country.

Yassar M Hashim*Department of Surgery and the Alvin J. Siteman Cancer Center, Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, MO †Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; and ‡Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, and Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Beijing, China.
Kathryn M Trinkaus
David C Linehan
Steven S Strasberg
Ryan C Fields
Dengfeng Cao
William G Hawkins
Alvin J. Siteman Cancer CenterBarnes-Jewish Hospital · USJewish Hospital · USWashington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
SURGICAL ONCOLOGY TRAINING GRANTT32CA009621 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN, William E. Gillanders · 1988 to 2026
$12.9M
NCI NIH HHS 5T32CA00962124NCI NIH HHS P30 CA091842NCI NIH HHS T32 CA009621
6 · The paper itself

Abstract

objectiveTo explore the prognostic importance and preoperative predictors of lymph node metastasis in an effort to guide surgical decision making in patients with pancreatic neuroendocrine tumors (PNETs).

backgroundPNETs are uncommon, and the natural history of the disease is not well described. As a result, there remains controversy regarding the optimal management of regional lymph nodes during resection of the primary tumor.

methodsA retrospective review of a prospectively maintained database of patients who underwent surgery for locoregional PNET between 1994 and 2012 was performed. Logistic regression was used to identify predictors of nodal metastasis. Overall survival and disease-free survival were calculated using Kaplan-Meier method. Results were expressed as P values and odds ratio estimates, with 95% confidence intervals.

resultsOne hundred thirty-six patients were identified, of whom 50 (38%) patients had nodal metastasis. The frequency of lymph node metastasis was higher for larger tumors [> 1.5 cm (odds ratio [OR] = 4.7)], tumors of the head as compared with body-tail of the pancreas (OR = 2.8), tumors with Ki-67 greater than 20% (OR = 6.7), and tumors with lymph vascular invasion (OR = 3.6) (P < 0.05). Median disease-free survival was lower for patients with nodal metastases (4.5 vs 14.6 years, P < 0.0001).

conclusionsLymph node metastasis is predictive of poor outcomes in patients with PNETs. Preoperative variables are not able to reliably predict patients where the probability of lymph node involvement was less than 12%. These data support inclusion of regional lymphadenectomy in patients undergoing pancreatic resections for PNET.

Indexed as

Lymph Node ExcisionPancreatectomyAdultAgedAged, 80 and overDecision Support TechniquesFemaleHumansLogistic ModelsLymphatic MetastasisMaleMiddle AgedMultivariate AnalysisNeoplasm InvasivenessNeuroendocrine TumorsPancreatic Neoplasms

Identifiers

PMID24253141
PMCPMC4164305
OpenAlexW1982249319

What OpenQuestion holds

Textmetadata
LicenceTDM
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.