Evidence map›Paper›PMID 26904228›Full record

ArticleJournal of thoracic disease2016

Electromagnetic navigation transthoracic needle aspiration for the diagnosis of pulmonary nodules: a safety and feasibility pilot study.

Lonny B Yarmus, Sixto Arias, David Feller-Kopman, Roy Semaan, Ko Pen Wang, Bernice Frimpong, Karen Oakjones Burgess, Richard Thompson, Alex Chen, Ricardo Ortiz and 1 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed.

  1. Review
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  8. Advances in Diagnostic Bronchoscopy.Diagnostics (Basel, Switzerland) · 2021
    Review
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Recent developments in advanced diagnostic bronchoscopy.European respiratory review : an official journal of the European Respiratory Society · 2020
    Review
  14. Review
  15. Review
  16. Article
  17. Recent advances in diagnostic technologies in lung cancer.The Korean journal of internal medicine · 2020
    Review
  18. Article
  19. Review
  20. 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

11 authors.

Lonny B Yarmus1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Sixto Arias1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
David Feller-Kopman1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Roy Semaan1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Ko Pen Wang1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Bernice Frimpong1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Karen Oakjones Burgess1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Richard Thompson1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Alex Chen1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Ricardo Ortiz1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.
Hans J Lee1 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA ; 2 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA ; 3 Division of Pulmonary and Critical Care Medicine, Washington University of St. Louis, St. Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary nodules remain a diagnostic challenge for physicians. Minimally invasive biopsy methods include bronchoscopy and CT guided transthoracic needle aspiration (TTNA). A novel electromagnetic guidance transthoracic needle aspiration (ETTNA) procedure which can be combined with navigational bronchoscopy (NB) and endobronchial ultrasound (EBUS) in a single setting has become available.

methodsA prospective pilot study examining the safety, feasibility and diagnostic yield of ETTNA in a single procedural setting. All patients enrolled underwent EBUS for lung cancer staging followed by NB and ETTNA. Feasibility of performing ETTNA and a safety assessment by recording procedural related complications including pneumothorax or bleeding was performed. Diagnostic yield of ETTNA defined by a definitive pathologic tissue diagnosis was recorded. An additional diagnostic yield analysis was performed using a cohort analysis of combined interventions (EBUS + NB + ETTNA). All non-diagnostic biopsies were either followed with radiographic imaging or a surgical biopsy was performed.

resultsTwenty-four subjects were enrolled. ETTNA was feasible in 96% of cases. No bleeding events occurred. There were five pneumothoraces (21%) of which only two (8%) subjects required drainage. The diagnostic yield for ETTNA alone was 83% and increased to 87% (P=0.0016) when ETTNA was combined with NB. When ETTNA and NB were performed with EBUS for complete staging, the diagnostic yield increased further to 92% (P=0.0001).

conclusionsThis is the first human pilot study demonstrating an acceptable safety and feasibility profile with a novel ETTNA system. Further studies are needed to investigate the increased diagnostic yield from this pilot study.

Indexed as

Bronchoscopyinterventional techniqueslung cancer

Identifiers

PMID26904228
PMCPMC4740165

What OpenQuestion holds

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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.