Learning curve, safety and diagnostic yield of the Galaxy

Lamia Aljundi, Ara Vartanyan, Tingyu Yang, Ching-Fei Chang, Shiqian Li, Monika Kakol

Abstract read

In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lamia AljundiDivision of Pulmonary, Critical Care, Hyperbaric, Allergy, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA, USA.ORCID https://orcid.org/0009-0005-5237-5335

Ara VartanyanDivision of Pulmonary, Critical Care and Sleep Medicine, University of Southern California, Los Angeles, CA, USA.

Tingyu YangDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.

Ching-Fei ChangDivision of Pulmonary, Critical Care and Sleep Medicine, University of Southern California, Los Angeles, CA, USA.

Shiqian LiDivision of Pulmonary, Critical Care and Sleep Medicine, University of Southern California, Los Angeles, CA, USA.

Monika KakolDivision of Pulmonary, Critical Care and Sleep Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Noah Medical Group (Reseda, CA) obtained Food and Drug Administration (FDA) approval for the robotic-assisted bronchoscopy (RAB) Galaxy Methods: We conducted a retrospective, single-center study at an academic interventional pulmonary program, reviewing RAB procedures performed with the Galaxy Results: Ninety-one patients with 94 nodules (median size 2.1 cm) were included. Overall diagnostic yield was 68%. Yield improved from 61% in the first six months to 75% in the latter half of the study [P=0.44, odds ratio (OR) =1.289]. The 1.1-mm cryoprobe achieved the highest yield (80.6%), outperforming FNA (42.9%, P=0.01, OR =5.543) and forceps (51.2%, P=0.046, OR =3.867). Pneumothorax occurred in 13% of cases (all requiring chest tubes), and one case of self-limited massive hemoptysis was reported. Conclusions: In this real-world descriptive study, the Galaxy

Indexed as

diagnostic yielddigital tomosynthesis (DT)learning curveLung cancerrobotic-assisted bronchoscopy (RAB)

Identifiers

PMID42182645

DOI10.21037/jtd-2025-1-2700

PMCPMC13190214

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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.