Evidence map›Paper›PMID 38327919›Full record

ArticleCureus2024

Rare Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia (DIPNECH) Finding in a 9/11 World Trade Center Survivor: A Case Report.

Sophia B Bellegarde, Vanessa Gibson, Shahriyour Andaz, Rose Purrazella, Eric Robinson, Pharlin Noel, Lauren Punter, Donald Tofuah, Abubakar Gapizov, Chukwuyem Ekhator

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. 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

10 authors.

Sophia B BellegardePathology and Laboratory Medicine, American University of Antigua, St. John's, ATG.
Vanessa GibsonThoracic Surgery, Mount Sinai South Nassau, Oceanside, USA.
Shahriyour AndazThoracic Surgery, Mount Sinai South Nassau, Oceanside, USA.
Rose PurrazellaPathology, Mercy Hospital, New York, USA.
Eric RobinsonSurgery, Mount Sinai South Nassau, Oceanside, USA.
Pharlin NoelSurgery, Mount Sinai South Nassau, Oceanside, USA.
Lauren PunterPathology, American University of Antigua, St. John's, ATG.
Donald TofuahSurgery, Mount Sinai South Nassau, Oceanside, USA.
Abubakar GapizovGeneral Surgery, American University of Antigua, St. John's, ATG.
Chukwuyem EkhatorNeuro-Oncology, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bronchial carcinoid tumors represent a relatively uncommon category within lung neoplasms, originating from neuroendocrine cells. The exact cause of these pulmonary tumors remains not fully understood. Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH) is characterized by widespread hyperplasia of these neuroendocrine cells, essential for regulating air and blood flow in response to stimuli such as hypoxia, dyspnea, and chronic obstructive pulmonary disease (COPD). The prognosis for bronchial carcinoid tumors hinges on factors such as grade and stage, with lung resection being the preferred treatment. A chest computed tomography (CT) scan unveiled diffuse bilateral pulmonary nodules with ground-glass opacities, leading to a right video-assisted thoracoscopic surgery (VATS) wedge resection. Immunohistochemical examination confirmed neuroendocrine differentiation, describing a lung wedge measuring 9 × 4 × 1.5 cm with spongy parenchyma and scattered white nodules.

Indexed as

carcinoid tumorsdiffuse idiopathic pulmonary neuroendocrine cell hyperplasia (dipnech)lung tumorneuroendocrine tumorspulmonary nodule

Identifiers

PMID38327919
PMCPMC10848887

What OpenQuestion holds

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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.