ArticleLung2016
DIPNECH: Association Between Histopathology and Clinical Presentation.
Article in Lung, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Clinical characteristics of diffuse idiopathic pulmonary neuroendocrine cell hyperplasia.ERJ open research · 2026Article
- Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia associated with lung adenocarcinoma: clinical, pathological and oncological outcomes from a multicentre analysis.ERJ open research · 2025Article
- Article
- De-labelling severe asthma diagnosis: the challenge of DIPNECH.ERJ open research · 2022Article
- Long-Term Imaging Follow-Up in DIPNECH: Multicenter Experience.Journal of clinical medicine · 2021Article
- Coexistence of DIPNECH and carotid body paraganglioma: is it just a coincidence?Endocrinology, diabetes & metabolism case reports · 2020Article
- A 68-year-old woman with a diagnosis of asthma and multiple fleeting pulmonary nodules- a case report.Respiratory medicine case reports · 2020Article
- NETest Liquid Biopsy Is Diagnostic of Lung Neuroendocrine Tumors and Identifies Progressive Disease.Neuroendocrinology · 2019Article
- A Case of Unknown Pulmonary Nodules.Journal of investigative medicine high impact case reportsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH) is a rare disorder which can be an incidental finding in imaging tests performed during the investigation of another condition, or is the final diagnosis in patients evaluated for chronic obstructive complaints. To explore the possible association between specific histopathology features and the mode of clinical presentation, we retrieved the clinical, functional, radiological, and pathological data of all 13 patients diagnosed with DIPNECH at our Institution over a 14-year period (2000-2014). As compared to patients with incidental disease (6/13, 46 %), patients with symptomatic disease were younger [mean (SD): 57.7 vs. 68.7 years, p = 0.046], were more likely to have mosaic attenuation (100 vs. 0 %, p = 0.001) and small multiple nodules (100 vs. 17 %, p = 0.005) at CT, and showed a significantly higher number of foci of linear neuroendocrine proliferation [median (IQR): 28 (13-37) vs. 6 (5-13), p = 0.018] and of tumorlets [median (IQR): 10 (8-20) vs. 1 (1-1), p = 0.002] at histology. Incidental disease was found in association with pulmonary adenocarcinoma in five out of six patients (83.3 %). The results of our study provide preliminary evidence that symptomatic patients with DIPNECH represent a specific subset characterized by younger age and a higher burden of foci of neuroendocrine proliferation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.