Evidence map›Paper›PMID 28352790›Full record

ArticleOpen medicine (Warsaw, Poland)2016

A confusing case report of pulmonary langerhans cell histiocytosis and literature review.

Yang Li, Wang Zhen, Ulrich Costable, Xu Jun, Ren Zhe, Mao YuPing

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2016. 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
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

6 authors at 2 institutions in 2 countries.

Yang LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Wang ZhenDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Ulrich CostableRuhrlandklinik, University Hospital, University of Duisburg-Essen, Essen, Germany.
Xu JunDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Ren ZheDepartment of Thoracic Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Mao YuPingDepartment of Pathology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Zhejiang Chinese Medical University · CNRuhrlandklinik · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary Langerhans Cell Histiocytosis (PLCH) is a rare disease. From the insidious onset and nonspecific manifestations, it is difficult to diagnose PLCH. To help improve the diagnosis and therapy options of adult PLCH, we present this case report and literature review about a confusing case of PLCH. In this report, we present a 37-year-old male PLCH case that was negative for CD1a and S100 expression. Smoking cessation and use of prescribed Spiriva appeared to improve the patient's symptoms. To the best of our knowledge, this is the first reported case of PLCH in which improved symptoms were seen with the use of Spiriva alone.The mechanism is not clear, but potentially has some relationship with dilating the airway, decreasing the mucous hypersecretion and promoting anti-inflammatory pathways. From this patient's case, we may be able to find more cases to then find other first line therapies for PLCH patients.

Indexed as

Interstitial lung diseasePulmonary Langerhans cell histiocytosisSmoking-Related Interstial Lung DiseaseSpirivaSR-ILDTiotropium

Identifiers

PMID28352790
PMCPMC5329821
OpenAlexW2470882544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.