Evidence map›Paper›PMID 26545094›Full record

ArticlePloS one2015

Endobronchial Ultrasound Changed the World of Lung Cancer Patients: A 11-Year Institutional Experience.

Chia-Hung Chen, Wei-Chih Liao, Biing-Ru Wu, Chih-Yu Chen, Wei-Chun Chen, Te-Chun Hsia, Wen-Chien Cheng, Chih-Yen Tu, Wu-Huei Hsu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Staging and operability of primary lung cancer in Western Cape Province, South Africa.African journal of thoracic and critical care medicine · 2022
    Article
  6. Article
  7. Article
  8. Latest technology in minimally invasive thoracic surgery.Annals of translational medicine · 2019
    Review
  9. Article
  10. Article
  11. 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

9 authors at 3 institutions in 1 country.

Chia-Hung ChenDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Wei-Chih LiaoDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Biing-Ru WuDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Chih-Yu ChenDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Wei-Chun ChenDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Te-Chun HsiaDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Wen-Chien ChengDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Chih-Yen TuDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Wu-Huei HsuDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
China Medical University Hospital · TWChina Medical University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe role of advanced bronchoscopic diagnostic techniques in the detection and staging of lung cancer has increased sharply in recent years. The development of endobronchial ultrasound (EBUS) improved minimally invasive mediastinal staging and diagnosis of peripheral lung lesions (PLLs). We investigated the impact of using EBUS as a diagnostic method for tissue acquisition in lung cancer patients.

methodsIn a single center observational retrospective study, 3712 subjects were diagnosed with lung cancer from 2003 to 2013 (EBUS was introduced in 2008). Thus, we divided the data into two periods: the conventional bronchoscopy period (2003 to 2007) and the EBUS period (2008 to 2013).

resultsA total of 3712 patients were included in the analysis. Comparing the conventional bronchoscopy period with the EBUS period data, there has been a significant reduction in the use of diagnostic modalities: CT-guided biopsy (P < 0.0001) and pleural effusion cytology (P < 0.0001). The proportion of subjects diagnosed using bronchoscopy significantly increased from 39.4% in the conventional period to 47.4% in the EBUS period (P < 0.0001). In the EBUS period, there has also been a significant increase in the proportion of patients proceeding directly to diagnostic surgery (P < 0.0001). Compared to bronchoscopy, the incidence of complications was higher in those who underwent CT guide biopsy. The incidence of iatrogenic pneumothorax significantly decreased in the EBUS period.

conclusionsAdvanced bronchoscopic techniques are widely used in the diagnosis of lung cancer. At our institution, the increasing use of EBUS for providing lung cancer diagnosis has led to a significant reduction in other diagnostic modalities, namely CT-guided biopsy and pleural effusion cytology. These changes in practice also led to a reduction in the incidence of complications.

Indexed as

EndosonographyAgedFemaleHumansLung NeoplasmsMaleMiddle AgedPrognosis

Identifiers

PMID26545094
PMCPMC4636346
OpenAlexW2337861918

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.