Evidence map›Paper›PMID 35024733›Full record

ArticleRomanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie

Neuroendocrine tumors (NETs) - experience of a single Center.

Mihaela Cornelia Şincu, Iuliu Gabriel Cocuz, Andreea Cătălina Tinca, Raluca Niculescu, Adrian Horaţiu Sabău, Diana Maria Chiorean, Silviu Horia Morariu, Ovidiu Simion Cotoi

Abstract read
In one paragraph

Article in Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Mihaela Cornelia ŞincuDepartment of Pathophysiology, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureş, Romania; iuliu.cocuz@umfst.ro.
Iuliu Gabriel Cocuz
Andreea Cătălina Tinca
Raluca Niculescu
Adrian Horaţiu Sabău
Diana Maria Chiorean
Silviu Horia Morariu
Ovidiu Simion Cotoi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNeuroendocrine neoplasms (NENs) are a heterogeneous group of tumors arising from cells that are part of the diffuse neuroendocrine system. PATIENTS, MATERIALS AND

methodsWe conducted a retrospective study in which we included a number of 91 cases diagnosed with neuroendocrine tumors (NETs). Descriptive statistics was performed: number of cases based on location, distribution by gender (male∕female), distribution by age, and we also performed a morphological and immunohistochemical (IHC) study.

resultsThe highest number of cases was found in lungs (60 cases). Tumors located on the skin, breast or bladder have been discovered, locations considered rare for this type of tumor. Of all cases diagnosed in the lungs, 59 were diagnosed as small cell carcinomas (SCCs) and only one case as NET. All surgical specimens were positive for chromogranin A (CgA), with a different expression for the other immunomarkers. For the lung biopsies, the most frequently IHC staining was CgA and cluster of differentiation 56 (CD56), with an increased positivity for the latter.

conclusionsCgA remains the most sensitive immunomarker in the diagnosis of NETs. CD56 is the most widely used immunomarker for diagnosing small cell lung tumors. Positive expression of thyroid transcription factor 1 (TTF1) immunomarker does not confirm pulmonary origin of SCCs.

Indexed as

Carcinoma, NeuroendocrineLung NeoplasmsNeuroendocrine TumorsBiomarkers, TumorChromogranin AFemaleHumansMaleRetrospective StudiesBiomarkers, TumorChromogranin A

Identifiers

PMID35024733
PMCPMC8848213

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Registered trials

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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.