Evidence map›Paper›PMID 24822126›Full record

ArticleJournal of thoracic disease2014

Effusion cytology: an effective method for the diagnosis of pulmonary lymphangioleiomyomatosis.

Daming Fan, Li Ding, Hui Liu, Jigang Wang, Wenwen Ran, Yujun Li, Dongliang Lin

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of thoracic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Daming Fan1 Department of Pathology, 2 Department of Prevention Care, the Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, China.
Li Ding1 Department of Pathology, 2 Department of Prevention Care, the Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, China.
Hui Liu1 Department of Pathology, 2 Department of Prevention Care, the Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, China.
Jigang Wang1 Department of Pathology, 2 Department of Prevention Care, the Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, China.
Wenwen Ran1 Department of Pathology, 2 Department of Prevention Care, the Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, China.
Yujun Li1 Department of Pathology, 2 Department of Prevention Care, the Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, China.
Dongliang Lin1 Department of Pathology, 2 Department of Prevention Care, the Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphangioleiomyomatosis (LAM) is a rare progressive lung disease. Chylous effusion is one of the most common clinical manifestations of LAM. Herein we present a 39-year-old female who presented progressive dyspnea on exertion and chylothorax. The chest computed tomography showed multiple thin-walled cysts in both lungs which suggesting LAM. The pleural effusion cytology plus with further immunocytochemistry confirmed the computed tomography diagnosis. Therefore, the LAM can be diagnosed by cytologic examination combined with conventional chest computed tomography and clinical manifestations, which can help some patients to avoid an invasive biopsy.

Indexed as

cytologydiagnosisimmunocytochemistryLymphangioleiomyomatosis (LAM)

Identifiers

PMID24822126
PMCPMC4015018
OpenAlexW2121926941

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.