Evidence map›Paper›PMID 37675302›Full record

ReviewAnnals of translational medicine2023

Robotic bronchoscopy in diagnosing lung cancer-the evidence, tips and tricks: a clinical practice review.

Elliot Ho, Grady Hedstrom, Septimiu Murgu

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Artificial intelligence in bronchoscopy: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Preface on Lung Cancer Management-The Next Decade.Annals of translational medicine · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. 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

3 authors at 2 institutions in 1 country.

Elliot HoDivision of Pulmonary & Critical Care Medicine, Interventional Pulmonology, Department of Medicine, Loma Linda University, Loma Linda, CA, USA.
Grady HedstromDivision of Pulmonary & Critical Care Medicine, Interventional Pulmonology, Department of Medicine, The University of Chicago, Chicago, IL, USA.
Septimiu MurguDivision of Pulmonary & Critical Care Medicine, Interventional Pulmonology, Department of Medicine, The University of Chicago, Chicago, IL, USA.
University of Chicago · USLoma Linda University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of robotic-assisted bronchoscopy has empowered bronchoscopists to access the periphery of the lung with more confidence and promising accuracy. This is due in large to the superior maneuverability, further reach, and stability of these technologies. Despite the advantages of robotic bronchoscopy, there are some drawbacks to using these technologies, such as the loss of tactile feedback, the need to overcome computed tomography (CT)-to-body divergence, and the potential for overreliance on the navigation software. There are currently two robotic bronchoscopy platforms on the US market, the Monarch

Indexed as

lung cancernavigational bronchoscopypulmonary nodulesRobotic bronchoscopy

Identifiers

PMID37675302
PMCPMC10477625
OpenAlexW4313897916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.