ReviewMedical mycology2019
Navigation bronchoscopy: A new tool for pulmonary infections.
Review in Medical mycology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Application of Teach-back health education combined with continuity care in patients with knee joint training injuries: an analysis of clinical effects.Frontiers in public health · 2025Trial
- Comparison of computed tomography and guided bronchoscopy in the diagnosis of pulmonary nodules: A systematic review and meta-analysis.Open medicine (Warsaw, Poland) · 2025Article
- Combining Shape-Sensing Robotic Bronchoscopy With Mobile Three-Dimensional Imaging to Verify Tool-in-Lesion and Overcome Divergence: A Pilot Study.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022Article
- Cone beam CT augmented fluoroscopy allows safe and efficient diagnosis of a difficult lung nodule.BMC pulmonary medicine · 2021Article
- The top 100 most cited articles on bronchoscopy: a bibliometric analysis.BMC pulmonary medicine · 2020Article
- Peripheral pulmonary nodule diagnosed as mycobacterium chelonae using electromagnetic navigation bronchoscopy combined with next generation sequencing: a case report.American journal of translational research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infections remain a common cause of lung nodules, masses, and cavities. Safe tissue sampling is required to establish a diagnosis, differentiate between malignant and infectious causes, and provide microbiological material for characterization and sensitivity analysis. Tissue samples could be obtained bronchoscopically, percutaneously, or through surgical biopsy. Among these, bronchoscopy is the safest by avoiding the complications of pleural and chest wall puncture including pneumothorax, pain, pleural contamination and empyema, and hemothorax. However, the diagnostic yield with conventional bronchoscopy for small, peripheral lesions is poor. Electromagnetic navigation bronchoscopy (ENB) is a technique where the bronchoscope and working channel are guided through the bronchial tree to accurately reach a peripheral lesion. It dramatically improves on the diagnostic yield of peripheral lesions especially of small lesions, and its role has developed beyond diagnosis to treatment enablement and to direct therapy. Its role in infection is less defined, but it has value especially in the diagnosis of fungal and mycobacterial infections and in cavitating lesions. This review will explore what electromagnetic navigation bronchoscopy is, its use in diagnosis and therapy, and its role in the management of pulmonary infections. The potential for local therapy delivery for infection is also discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.