Evidence map›Paper›PMID 39385123›Full record

ArticleBMC pulmonary medicine2024

Diagnosis of pulmonary sarcoidosis comorbid with non-specific interstitial pneumonia: a case report.

Rui Xu, Kaige Wang, Weimin Li, Dan Liu

Abstract readCase Reports
In one paragraph

Article in BMC pulmonary medicine, 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

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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

4 authors.

Rui Xu *Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Health, Center of Precision Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Kaige Wang *Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Health, Center of Precision Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Weimin LiDepartment of Pulmonary and Critical Care Medicine, Institute of Respiratory Health, Center of Precision Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Dan LiuDepartment of Pulmonary and Critical Care Medicine, Institute of Respiratory Health, Center of Precision Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China. liudan10965@wchscu.cn.

Funding

the National Natural Science Foundation of China 82173182the Science and Technology Program of Sichuan 2023NSFSC1939
6 · The paper itself

Abstract

backgroundAlthough the imaging manifestations of pulmonary sarcoidosis have been described in detail in previous studies, a consensus has not been reached on the imaging presentation of non-specific interstitial pneumonia (NSIP) lookalike pattern as a distinct pattern in the diagnosis of pulmonary sarcoidosis in high-resolution computed tomography (HRCT). No cases of pulmonary sarcoidosis comorbid with NSIP have been reported. CASE PRESENTATION: A 53-year-old male presented to the hospital with a five-year history of recurrent coughing up sputum and a four-year history of shortness of breath. In addition to the typical features of pulmonary sarcoidosis, the patient's HRCT also showed unexpected interstitial changes in the lower lobes of both lungs, suggesting an NSIP pattern. Histopathology of the lung tissue in this region confirmed well-formed noncaseating epithelioid granulomas and pathological modifications of NSIP. After a rigorous exclusion diagnosis combining the patient's clinical features, radiological and pathological findings, we diagnosed this patient with pulmonary sarcoidosis comorbid with NSIP.

conclusionsThis suggests that NSIP may act as a rare comorbidity of pulmonary sarcoidosis thereby resulting in the patient's HRCT presenting differently from routine sarcoidosis imaging.

Indexed as

LungLung Diseases, InterstitialSarcoidosis, PulmonaryTomography, X-Ray ComputedHumansMaleMiddle AgedImaging presentationNon-specific interstitial pneumoniaPulmonary sarcoidosis

Identifiers

PMID39385123
PMCPMC11462828

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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.