Evidence map›Paper›PMID 38944507›Full record

ReviewThe Surgical clinics of North America2024

Surgical Management and Long-Term Evaluation of Pancreatic Neuroendocrine Tumors.

Shadin Ghabra, Bhavishya Ramamoorthy, Stephen G Andrews, Samira M Sadowski

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Surgical clinics of North America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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

4 authors.

Shadin GhabraSurgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: https://twitter.com/ShadinGhabra_MD.
Bhavishya RamamoorthySurgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Stephen G AndrewsNeuroendocrine Cancer Therapy Section, Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Building 10 CRC, Room 4-5932, Bethesda, MD 20892, USA. Electronic address: https://twitter.com/AndrewsStephenG.
Samira M SadowskiNeuroendocrine Cancer Therapy Section, Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Building 10 CRC, Room 4-5932, Bethesda, MD 20892, USA. Electronic address: Samira.Sadowski@nih.gov.

Funding

Surgical Oncology Program Training ProgramZIEBC012097 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BLAKELY, ANDREW · 2022 to 2025
$17.3M
Targeted Therapy in Neuroendocrine CancerZIABC011899 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SADOWSKI, SAMIRA · 2019 to 2025
$10.0M
Intramural NIH HHS ZIA BC011899
6 · The paper itself

Abstract

Pancreatic neuroendocrine tumors (PNETs) arise from neuroendocrine cells and are a rare class of heterogenous tumors with increasing incidence. The diagnosis, staging, treatment, and prognosis of PNETs depend heavily on identifying the histologic features and biological mechanisms. Here, the authors provide an overview of the diagnostic workup (biomarkers and imaging), grade, and staging of PNETs. The authors also explore associated genetic mutations and molecular pathways and describe updated guidelines on surgical and systemic treatment modalities.

Indexed as

Neuroendocrine TumorsPancreatic NeoplasmsHumansNeoplasm StagingPancreatectomyPrognosis(68)Ga-DOTATATELiver metastasesNeuroendocrine tumorPancreasPancreatectomySomatostatin receptors

Identifiers

PMID38944507
PMCPMC11214659

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.