Evidence map›Paper›PMID 38286133›Full record

SynthesisThoracic cancer2024

Robotic-assisted bronchoscopy for the diagnosis of peripheral pulmonary lesions: A systematic review and meta-analysis.

Chunxi Zhang, Fangfang Xie, Runchang Li, Ningxin Cui, Felix J F Herth, Jiayuan Sun

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Thoracic cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06654271 (Robotic Versus Electromagnetic Bronchoscopy for Pulmonary LesIon AssessmeNT Using Integrated Intraprocedural Imaging), which is not on this map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
13.8field-weighted citation impact, top 1% 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.

NCT06654271 naactive not recruitingnot on this map

Robotic Versus Electromagnetic Bronchoscopy for Pulmonary LesIon AssessmeNT Using Integrated Intraprocedural Imaging: the RELIANT 2 Trial

TypeinterventionalSponsorVanderbilt University Medical CenterRan2024 to 2026Enrolled440ConditionsPeripheral Pulmonary Lesion, Lung Nodule, SolitaryArmsRobotic assisted bronchoscopy (RAB), Electromagnetic navigation bronchoscopy (ENB)
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  8. Review
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  14. RoboticERJ open research · 2026
    Article
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  17. Observational
  18. 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

6 authors at 2 institutions in 2 countries.

Chunxi ZhangDepartment of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fangfang XieDepartment of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Runchang LiDepartment of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ningxin CuiDepartment of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Felix J F HerthDepartment of Pneumology and Critical Care Medicine, Thoraxklinik, University of Heidelberg, Heidelberg, Germany.
Jiayuan SunDepartment of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-3158-3256
Shanghai Jiao Tong University · CNHeidelberg University · DE

Funding

Joint Clinical Research Center of Institute of Medical Robotics-Chest Hospital, Shanghai Jiao Tong University IMR-XKH202102Science and Technology Commission of Shanghai Municipality 20S31905200Science and Technology Commission of Shanghai Municipality 21XD1434400
6 · The paper itself

Abstract

Robotic-assisted bronchoscopy (RAB) is a newly developed bronchoscopic technique for the diagnosis of peripheral pulmonary lesions (PPLs). The objective of this meta-analysis was to analyze the diagnostic yield and safety of RAB in patients with PPLs. Five databases (PubMed, Embase, Web of Science, CENTRAL, and ClinicalTrials.gov) were searched from inception to April 2023. Two independent investigators screened retrieved articles, extracted data, and assessed the study quality. The pooled diagnostic yield and complication rate were estimated. Subgroup analysis was used to explore potential sources of heterogeneity. Publication bias was assessed using funnel plots and the Egger test. Sensitivity analysis was also conducted to assess the robustness of the synthesized results. A total of 725 lesions from 10 studies were included in this meta-analysis. No publication bias was found. Overall, RAB had a pooled diagnostic yield of 80.4% (95% CI: 75.7%-85.1%). Lesion size of >30 mm, presence of a bronchus sign, and a concentric radial endobronchial ultrasound view were associated with a statistically significantly higher diagnostic yield. Heterogeneity exploration showed that studies using cryoprobes reported better yields than those without cryoprobes (90.0%, 95% CI: 83.2%-94.7% vs. 79.0%, 95% CI: 75.8%-82.2%, p < 0.01). The pooled complication rate was 3.0% (95% CI: 1.6%-4.4%). In conclusion, RAB is an effective and safe technique for PPLs diagnosis. Further high-quality prospective studies still need to be conducted.

Indexed as

Lung NeoplasmsRobotic Surgical ProceduresBronchiBronchoscopyEndosonographyHumansProspective Studiesbronchoscopylung cancermeta-analysisperipheral pulmonary lesionrobotic-assisted bronchoscopy

Identifiers

PMID38286133
PMCPMC10912532
OpenAlexW4391300417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.