Evidence map›Paper›PMID 33304923›Full record

ReviewFrontiers in surgery2020

Current Novel Advances in Bronchoscopy.

Jeffrey Jiang, Stephanie H Chang, Amie J Kent, Travis C Geraci, Robert J Cerfolio

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
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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

5 authors at 1 institution in 1 country.

Jeffrey JiangDepartment of Cardiothoracic Surgery, New York University Langone Health, New York, NY, United States.
Stephanie H ChangDepartment of Cardiothoracic Surgery, New York University Langone Health, New York, NY, United States.
Amie J KentDepartment of Cardiothoracic Surgery, New York University Langone Health, New York, NY, United States.
Travis C GeraciDepartment of Cardiothoracic Surgery, New York University Langone Health, New York, NY, United States.
Robert J CerfolioDepartment of Cardiothoracic Surgery, New York University Langone Health, New York, NY, United States.
NYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening for lung cancer has changed substantially in the past decade since The National Lung Screening Trial. The resultant increased discovery of incidental pulmonary nodules has led to a growth in the number of lesions requiring tissue diagnosis. Bronchoscopy is one main modality used to sample lesions, but peripheral lesions remain challenging for bronchoscopic biopsy. Alternatives have included transthoracic biopsy or operative biopsy, which are more invasive and have a higher morbidity than bronchoscopy. In hopes of developing less invasive diagnostic techniques, technologies have come to assist the bronchoscopist in reaching the outer edges of the lung. Navigational bronchoscopy is able to virtually map the lung and direct the biopsy needle where the scope cannot reach. Robotic bronchoscopy platforms have been developed to provide stability and smaller optics to drive deeper into the bronchial tree. While these new systems have not yet proven better outcomes, they may reduce the need for invasive procedures and be valuable armamentarium in diagnosing and treating lung nodules, especially in the periphery.

Indexed as

bronchoscopeelectromagnetic navigation bronchoscopyIntuitive Surgicalion entydoluminalmonarchrobotic bronchoscopy

Identifiers

PMID33304923
PMCPMC7701114
OpenAlexW3099248626

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.