Evidence map›Paper›PMID 35633912›Full record

ReviewWorld journal of gastroenterology2022

New insights in diagnosis and treatment of gastroenteropancreatic neuroendocrine neoplasms.

Feng Yin, Zi-Hao Wu, Jin-Ping Lai

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.0field-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.

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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

3 authors at 1 institution in 1 country.

Feng YinDepartment of Pathology and Anatomical Sciences, University of Missouri, Columbia, MO 65212, United States.
Zi-Hao WuDepartment of Surgery, University of Missouri, Columbia, MO 65212, United States.
Jin-Ping LaiDepartment of Pathology, Kaiser Permanente Sacramento Medical Center, Sacramento, CA 95825, United States. jinping.x.lai@kp.org.
University of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are rare epithelial neoplasms derived from pluripotent endocrine cells along the gastrointestinal tract and pancreas. GEP-NENs are classified into well-differentiated neuroendocrine tumors and poorly differentiated neuroendocrine carcinomas. Despite overlapping morphological features, GEP-NENs vary in molecular biology, epigenetic, clinical behavior, treatment response, and prognosis features and remain an unmet clinical challenge. In this review, we introduce recent updates on the histopathologic classification, including the tumor grading and staging system, molecular genetics, and systemic evaluation of the diagnosis and treatment of GEP-NENs at different anatomic sites, together with some insights into the diagnosis of challenging and unusual cases. We also discuss the application of novel therapeutic approaches for GEP-NENs, including peptide receptor radionuclide therapy, targeted therapy, and immunotherapy with immune checkpoint inhibitors. These findings will help improve patient care with precise diagnosis and individualized treatment of patients with GEP-NENs.

Indexed as

Gastrointestinal NeoplasmsNeuroendocrine TumorsPancreatic NeoplasmsHumansPrognosisDiagnosisGastroenteropancreatic neuroendocrine neoplasmsNeuroendocrine carcinomaNeuroendocrine tumoursTreatmentWorld Health Organization classification

Identifiers

PMID35633912
PMCPMC9099195
OpenAlexW4225011901

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.