Evidence map›Paper›PMID 29201449›Full record

ReviewJournal of thoracic disease2017

Molecular strategies in the management of bronchopulmonary and thymic neuroendocrine neoplasms.

Irvin M Modlin, Mark Kidd, Pier-Luigi Filosso, Matteo Roffinella, Anna Lewczuk, Jaroslaw Cwikla, Lisa Bodei, Agnieska Kolasinska-Cwikla, Kyung-Min Chung, Margot E Tesselaar and 1 more

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of thoracic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Spindle cell thymoma and its histological mimickers.Mediastinum (Hong Kong, China) · 2023
    Review
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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

11 authors at 7 institutions in 3 countries.

Irvin M ModlinYale University School of Medicine, New Haven, CT, USA.
Mark KiddWren Laboratories, Branford, CT, USA.
Pier-Luigi FilossoUniversity of Torino, Torino, Italy.
Matteo RoffinellaUniversity of Torino, Torino, Italy.
Anna LewczukMedical University of Gdansk, Gdansk, Poland.
Jaroslaw CwiklaThe Faculty of Medical Sciences, University of Warmia and Mazury, Olsztyn, Poland.
Lisa BodeiMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Agnieska Kolasinska-CwiklaMaria Skłodowska-Curie Memorial Cancer Center, Warsaw, Poland.
Kyung-Min ChungWren Laboratories, Branford, CT, USA.
Margot E TesselaarNetherlands Cancer Institute, Amsterdam, The Netherlands.
Ignat A DrozdovWren Laboratories, Branford, CT, USA.
Wren Laboratories (United States) · USGdańsk Medical University · PLMemorial Sloan Kettering Cancer Center · USThe Maria Sklodowska-Curie National Research Institute of Oncology · PLThe Netherlands Cancer Institute · NLUniversity of Warmia and Mazury in Olsztyn · PLYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic NETs [bronchopulmonary NETs (BPNETs) and thymic NETs (TNET)] share a common anatomic primary location, likely a common cell of origin, the "Kulchitsky cell" and presumably, a common etiopathogenesis. Although they are similarly grouped into well-differentiated [typical carcinoids (TC) and atypical carcinoids (AC)] and poorly differentiated neoplasms and both express somatostatin receptors, they exhibit a wide variation in clinical behavior. TNETs are more aggressive, are frequently metastatic, and have a lower 5-year survival rate (~50%

Indexed as

BiomarkerbronchopulmonarycarcinoidNETestneuroendocrine

Identifiers

PMID29201449
PMCPMC5690952
OpenAlexW2607096819

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.