Evidence map›Paper›PMID 37346440›Full record

ArticleIndian journal of thoracic and cardiovascular surgery2023

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia: an under-recognized entity-a report of two cases.

Tanvi Jha, Anil Sharma, Sankar Kalakkunath, Shalini Mullick

Open access · greenAbstract readCase Reports
In one paragraph

Article in Indian journal of thoracic and cardiovascular surgery, 2023. 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, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Tanvi JhaDepartment of Pathology, National Institute of Tuberculosis and Respiratory Diseases, Sri Aurobindo Marg, New Delhi, 110030 India.
Anil SharmaDepartment of Pathology, National Institute of Tuberculosis and Respiratory Diseases, Sri Aurobindo Marg, New Delhi, 110030 India.
Sankar KalakkunathDepartment of Pathology, National Institute of Tuberculosis and Respiratory Diseases, Sri Aurobindo Marg, New Delhi, 110030 India.
Shalini MullickDepartment of Pathology, National Institute of Tuberculosis and Respiratory Diseases, Sri Aurobindo Marg, New Delhi, 110030 India.
LRS Institute of Tuberculosis and Respiratory Diseases · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH) is a rare pulmonary disorder that is classified as a pre-invasive lesion. It can also be present in association with chronic lung diseases. We present two cases of DIPNECH, which were picked up incidentally only on histopathology. A 29-year-old male presented with a history of longstanding cough with expectoration. A computed tomography (CT) scan showed bronchiectasis in the left lung. Histopathological evaluation of the pneumonectomy specimen revealed nests of proliferating, non-infiltrating neuroendocrine cells. Our second patient was a 38-year-old female with chronic cough and expectoration with recent exacerbation. CT scan showed cystic bronchiectasis in the left lower lobe; hence, a lobectomy was performed. On histopathology, nests of non-infiltrating neuroendocrine cells were noted. A diagnosis of DIPNECH with bronchiectasis was offered to both patients, and they have been on follow-up ever since. DIPNECH is a diagnostic and therapeutic quandary requiring a high index of suspicion for its detection and effective surveillance.

Indexed as

DIPNECHLungNeuroendocrine cell hyperplasia

Identifiers

PMID37346440
PMCPMC10279627
OpenAlexW4365814853

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.