Evidence map›Paper›PMID 31209670›Full record

ArticleAnnals of surgical oncology2019

Outcomes of Lymph Node Dissection for Non-metastatic Pancreatic Neuroendocrine Tumors: A Propensity Score-Weighted Analysis of the National Cancer Database.

Rui Mao, Hong Zhao, Kan Li, Sheng Luo, Megan Turner, Jian-Qiang Cai, Dan Blazer

Open access · greenAbstract read
In one paragraph

Article in Annals of surgical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Rui MaoDepartment of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hong ZhaoDepartment of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Kan LiMerck Research Laboratory, Merck & Co, North Wales, PA, USA.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Megan TurnerDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Jian-Qiang CaiDepartment of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dan BlazerDepartment of Surgery, Duke University Medical Center, Durham, NC, USA. trey.blazer@duke.edu.
Duke Medical Center · USChinese Academy of Medical Sciences & Peking Union Medical College · CNDuke University Hospital · USMerck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

Statistical Methods for Clinical Trials with Multivariate Longitudinal OutcomesR01NS091307 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LUO, SHENG · 2015 to 2018
$1.2M
Shared genetic, epigenetic, and transcriptomic profiles between AD and PTSD: molecular insights into the heterogeneity of neuropsychiatric symptoms in Alzheimers DiseaseR56AG062302 · NIA · DUKE UNIVERSITY · PI CHIBA-FALEK, ORNIT, LUO, SHENG · 2018 to 2018
$788k
Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2017-12M-4-002National Natural Science Foundation of China 81672461NIA NIH HHS R56 AG062302NIA NIH HHS R56AG062302NINDS NIH HHS R01 NS091307NINDS NIH HHS R01NS091307the capital health research and development of special 2018-1-4021
6 · The paper itself

Abstract

backgroundAlthough the National Comprehensive Cancer Network (NCCN) guidelines recommend use of lymph node dissection (LND) in patients with pancreatic neuroendocrine tumors (pNETs) > 2 cm, there is limited evidence to support the association between use of LND and overall survival (OS).

methodsPatients with resected pNETs were identified in the National Cancer Database (2004-2014). The inverse probability of treatment weighting (IPTW) method was used to reduce the selection bias. IPTW-adjusted Kaplan-Meier curves and Cox proportional hazards models were used to compare OS of patients in different treatment groups.

resultsA total of 2664 patients diagnosed met the study entry criteria. Of these, 2132 patients (80.6%) received LND, with a median of nine nodes removed. Positive nodes were identified in 28.0% of patients who underwent LND. IPTW-adjusted Kaplan-Meier analysis showed that median OS was similar between the LND and LND-omitted groups (152.8 vs. 147.3 months; p = 0.61). In IPTW-adjusted Cox proportional hazards regression analysis, LND was not associated with an OS benefit (hazard ratio [HR] 1.15, 95% confidence interval [CI] 0.94-1.42; p = 0.18). The results were consistent across subgroups stratified by clinical T and N stages. Among patients with lymph node metastasis, the number of removed nodes (NRN) above the median was not associated with an improved OS (HR 0.82, 95% CI 0.60-1.13; p = 0.22).

conclusionsLND had no additional therapeutic benefit among patients undergoing resection for pNETs. The present findings should be considered when managing patients with resectable pNETs.

Indexed as

Databases, FactualPropensity ScoreFemaleFollow-Up StudiesHumansLymph Node ExcisionLymph NodesMaleMiddle AgedNeuroendocrine TumorsPancreatic NeoplasmsPrognosisSurvival Rate

Identifiers

PMID31209670
PMCPMC7436555
OpenAlexW2951578700

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.