ArticleAnnals of thoracic surgery short reports2025
Robotic One Anesthetic Diagnosis and Treatment: A Novel Program for Lung Cancer Care.
Article in Annals of thoracic surgery short reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Review
- Advanced Bronchoscopic Approaches to Peripheral Pulmonary Lesions: a Narrative Review of Current and Emerging Techniques.Pulmonary therapy · 2026Review
- Clinical and operational impact of single anesthesia events in the surgical management of early-stage lung cancer: a single-center retrospective cohort study.Journal of thoracic disease · 2026Article
- Innovations in Robotic-Assisted Bronchoscopy: Current Trends and Future Prospects.Diagnostics (Basel, Switzerland) · 2026Review
- Single anesthetic bronchoscopic biopsy to robotic resection workflow.JTCVS techniques · 2026Article
- Can we rely on intraoperative bronchoscopic biopsies for surgical decision making? 78 single anesthetic robotic bronchoscopy to anatomic resections.JTCVS open · 2025Article
- Development and deployment of robots in a bronchoscopy suite.Breathe (Sheffield, England) · 2025Review
- Robotic-assisted lung nodule diagnosis and resection.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early diagnosis and treatment of lung cancer can improve patient outcomes. To reduce the delay between diagnosis and treatment, we initiated a Robotic One Anesthetic Diagnosis and Treatment (ROADAT) program for lung nodules that combined robotic navigational bronchoscopy, liquid rapid on-site evaluation (ROSE), and surgical resection in the same setting. Methods: A retrospective review was conducted of patients who underwent the ROADAT procedure from December 1, 2021, through January 31, 2024. These patients were compared with sequential controls from the same time window, who would have been ROADAT candidates but underwent diagnosis and treatment using a standard lung nodule workup. Results: There were 36 patients in the ROADAT group and 35 controls. Of the 36 ROADAT patients, 31 (86%) underwent lung resections. When final pathology was available, ROSE was concordant in 91% (29 of 32) of cases. Compared with robotic lobectomies alone, ROADAT procedures that resulted in lobectomies added 73 minutes ( Conclusions: The ROADAT procedure reduced time from nodule detection to surgical resection compared with the standard approach. Liquid-based ROSE had high concordance with final pathology. Total operative time, direct costs, and total costs were lower for the ROADAT procedure.
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.