Trial reportThorax2023
Ultra-low-dose CT versus chest X-ray for patients suspected of pulmonary disease at the emergency department: a multicentre randomised clinical trial.
Trial report in Thorax, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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
19 citing papers in PubMed, 29 citations in OpenAlex.
- Diagnostic accuracy of ultra-low-dose chest CT vs chest X-ray for acute non-traumatic pulmonary diseases.European radiology · 2025Trial
- The yield of chest X-ray or ultra-low-dose chest-CT in emergency department patients suspected of pulmonary infection without respiratory symptoms or signs.European radiology · 2023Trial
- Impact of chest X-ray on diagnosis work-up of community-acquired pneumonia.Internal and emergency medicine · 2026Article
- Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation.European radiology experimental · 2026Article
- Diagnostic accuracy of chest radiograph versus computed tomography for suspected pneumonia in obese patients.Emergency radiology · 2026Article
- Guidelines for the Initial Assessment of Respiratory Distress in the Emergency Department.Annals of intensive care · 2026Article
- Impact of Increased Chest CT Utilization on the Diagnosis of Pneumonia in Older Adults: A Population-Based Study of 930,654 Individuals.Korean journal of radiology · 2025Article
- Artificial Intelligence Analysis of Chest Radiographs for Predicting Major Adverse Events in Patients Visiting the Emergency Department With Acute Cardiopulmonary Symptoms.Korean journal of radiology · 2025Article
- Ultra-low-dose CT-a new imaging modality in the diagnostic workflow of an emergency department?European radiology · 2025Article
- Geriatric-Specific Considerations in the Care of Older Adults with Pulmonary/Respiratory Diseases.Emergency medicine clinics of North America · 2025Review
- Searching for Infectious Foci in Intensive Care Patients: Diagnostic Yield of Computed Tomography and Prognostic Value of Clinical and Laboratory Chemical Parameters.Journal of clinical medicine · 2025Article
- An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study.European radiology experimental · 2024Article
- Optimizing Diagnosis and Management of Community-acquired Pneumonia in the Emergency Department.Emergency medicine clinics of North America · 2024Review
- Community-Acquired Pneumonia for the Hospitalist: Updates and Controversies.Journal of Brown hospital medicine · 2024Review
- Ultra-low-dose CT vs. chest X-ray in non-traumatic emergency department patients - a prospective randomised crossover cohort trial.EClinicalMedicine · 2023Article
- Limited Clinical Impact of Ultralow-Dose Computed Tomography in Suspected Community-Acquired Pneumonia.Open forum infectious diseases · 2023Article
- Practice Changes Among Patients Without COVID-19 Receiving Mechanical Ventilation During the Early COVID-19 Pandemic.Critical care explorations · 2023Article
- Artificial Intelligence-Assisted Chest X-ray for the Diagnosis of COVID-19: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2023Review
- Correlation of lung function with ultra-low-dose CT-detected lung parenchymal abnormalities: a cohort study of 1344 asbestos exposed individuals.BMJ open respiratory research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
33 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChest CT displays chest pathology better than chest X-ray (CXR). We evaluated the effects on health outcomes of replacing CXR by ultra-low-dose chest-CT (ULDCT) in the diagnostic work-up of patients suspected of non-traumatic pulmonary disease at the emergency department.
methodsPragmatic, multicentre, non-inferiority randomised clinical trial in patients suspected of non-traumatic pulmonary disease at the emergency department. Between 31 January 2017 and 31 May 2018, every month, participating centres were randomly allocated to using ULDCT or CXR. Primary outcome was functional health at 28 days, measured by the Short Form (SF)-12 physical component summary scale score (PCS score), non-inferiority margin was set at 1 point. Secondary outcomes included hospital admission, hospital length of stay (LOS) and patients in follow-up because of incidental findings.
results2418 consecutive patients (ULDCT: 1208 and CXR: 1210) were included. Mean SF-12 PCS score at 28 days was 37.0 for ULDCT and 35.9 for CXR (difference 1.1; 95% lower CI: 0.003). After ULDCT, 638/1208 (52.7%) patients were admitted (median LOS of 4.8 days; IQR 2.1-8.8) compared with 659/1210 (54.5%) patients after CXR (median LOS 4.6 days; IQR 2.1-8.8). More ULDCT patients were in follow-up because of incidental findings: 26 (2.2%) versus 4 (0.3%).
conclusionsShort-term functional health was comparable between ULDCT and CXR, as were hospital admissions and LOS, but more incidental findings were found in the ULDCT group. Our trial does not support routine use of ULDCT in the work-up of patients suspected of non-traumatic pulmonary disease at the emergency department. TRIAL REGISTRATION NUMBER: NTR6163.
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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.