Evidence map›Paper›PMID 42904064›Full record

ReviewhLife2024

Current perspectives on neuroendocrine tumors.

Sunil Kumar Verma, Renu Khare, Devendra Singh

Abstract readReview
In one paragraph

Review in hLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sunil Kumar VermaFaculty of Biotechnology, Institute of Biosciences and Technology, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, Uttar Pradesh 225001, India.
Renu KhareFaculty of Biosciences, Institute of Biosciences and Technology, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, Uttar Pradesh 225001, India.
Devendra SinghFaculty of Biotechnology, Institute of Biosciences and Technology, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, Uttar Pradesh 225001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoplasms arising from neuroendocrine cells form a heterogeneous group known as neuroendocrine tumors (NETs), which possess both endocrine and neural characteristics. These tumors can occur in various organs throughout the body, with the most prominent sites being the gastrointestinal tract, pancreas, and lungs. Despite their relatively low incidence, NETs have gained significant attention due to their unique biology and clinical behavior. This review intends to provide a widespread gestalt of the present perception of NETs, including their epidemiology, etiology, pathogenesis, classification, clinical presentation, diagnostic modalities, treatment options, and prognosis. Treatment strategies for NETs depend on tumor grade, stage, location, and functional status. Surgical resection remains the pillar of curative treatment for localized disease; on the other hand, systemic therapies take account of targeted therapies like tyrosine kinase inhibitors (TKIs), peptide receptor radionuclide therapy (PRRT), somatostatin analogs, and immunotherapy have shown promising results in advanced cases. In conclusion, this review provides an up-to-date summary of our current knowledge regarding neuroendocrine tumors. Further research is needed to better understand the underlying molecular mechanisms driving tumor development and progression. This will aid in developing novel therapeutic strategies targeting specific pathways involved in NET pathogenesis to improve patient outcomes.

Indexed as

cancerclinical therapyendocrinemetastasis

Identifiers

PMID42904064
PMCPMC13681692

What OpenQuestion holds

Textmetadata
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.