Evidence map›Paper›PMID 30034829›Full record

ReviewJournal of thoracic disease2018

Towards an optimization of bronchoscopic approaches to the diagnosis and treatment of the pulmonary nodules: a review.

William S Krimsky, Michael A Pritchett, Kelvin K W Lau

Abstract readReview
In one paragraph

Review in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Novel Image-Guided Flexible-Probe Transbronchial Microwave Ablation for Stage 1 Lung Cancer.Respiration; international review of thoracic diseases · 2023
    Article
  4. Article
  5. Recent developments in advanced diagnostic bronchoscopy.European respiratory review : an official journal of the European Respiratory Society · 2020
    Review
  6. Review
  7. Article
  8. Article
  9. Review
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

3 authors.

William S KrimskyInterventional Pulmonary Medicine, Medstar Franklin Square Medical Center, Baltimore, USA.
Michael A PritchettDepartment of Pulmonary Medicine, Chest Center of the Carolinas, FirstHealth Moore Regional Hospital, Pinehurst Medical Clinic, Pinehurst, North Carolina, USA.
Kelvin K W LauDepartment of Thoracic Surgery, St Bartholomew's Hospital, West Smithfield, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last several years have seen substantive improvements and innovation with respect to bronchoscopic approaches to the indeterminate pulmonary nodule both diagnostically and therapeutically. Indeed, these advances have only accelerated over the last year or two and extend across multiple domains and include improvements in imaging technologies and techniques, approaches and tools to access different areas of the lung, tools to acquire tissue as well as tools and methods to ablate tissue. Needless to say, there are a variety of different approaches in terms of how these issues are being solved along with differing levels of technology and infrastructure commitments necessary to utilize these various tools, with some of these approaches being farther along than others. This article reviews some of these recent advances in the domains of advanced imaging, approaches to accessing various parts of the lung, tools designed to acquire tissue, robotic endoscopy platforms, new approaches to tissue ablation as well as potential additions to these areas that are on the horizon.

Indexed as

bronchoscopic ablationBronchoscopynavigational bronchoscopypulmonary nodule

Identifiers

PMID30034829
PMCPMC6035917

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.