ArticleEuropean radiology2010
Evidence-based radiology: why and how?
Article in European radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled 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.
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
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.
- Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review.European radiology · 2025Pooled it
- Artificial intelligence as medical device in radiology in 2025: the regulatory scenario in the EU, USA, and China.European radiology · 2026Review
- Phantom studies in medical imaging (PSMI): a guide with recommendations and checklist.European radiology experimental · 2025Article
- Building trust: improving evidence levels in breast MRI radiomics.European radiology · 2025Article
- Basic Statistics for Radiologists: Part 1-Basic Data Interpretation and Inferential Statistics.The Indian journal of radiology & imaging · 2025Article
- ESR essentials: MRI of the knee-practice recommendations by ESSR.European radiology · 2024Review
- Sample size calculation for data reliability and diagnostic performance: a go-to review.European radiology experimental · 2024Review
- Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice.Insights into imaging · 2024Article
- O-RADS MRI to classify adnexal tumors: from clinical problem to daily use.Insights into imaging · 2024Article
- Translating radiological research into practice-from discovery to clinical impact.Insights into imaging · 2024Article
- Clinical trials for evidence-based radiology: to randomize or not to randomize? This is the question.La Radiologia medica · 2024Article
- Open issues for education in radiological research: data integrity, study reproducibility, peer-review, levels of evidence, and cross-fertilization with data scientists.La Radiologia medica · 2023Article
- Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images.Sensors (Basel, Switzerland) · 2021Article
- Content-Based Medical Image Retrieval and Intelligent Interactive Visual Browser for Medical Education, Research and Care.Diagnostics (Basel, Switzerland) · 2021Article
- Human, All Too Human? An All-Around Appraisal of the "Artificial Intelligence Revolution" in Medical Imaging.Frontiers in psychology · 2021Review
- Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.Medical oncology (Northwood, London, England) · 2020Review
- Clinical trials in radiology and data sharing: results from a survey of the European Society of Radiology (ESR) research committee.European radiology · 2019Article
- How scientific mobility can help current and future radiology research: a radiology trainee's perspective.Insights into imaging · 2019Review
- Encouraging MSK imaging research towards clinical impact is a necessity: opinion paper of the European Society of Musculoskeletal Radiology (ESSR).European radiology · 2019Article
- Radiological Clinical Practice Guidelines Published in the Last Decade: A Bibliometric Analysis.Journal of the Belgian Society of Radiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo provide an overview of evidence-based medicine (EBM) in relation to radiology and to define a policy for adoption of this principle in the European radiological community.
resultsStarting from Sackett's definition of EBM we illustrate the top-down and bottom-up approaches to EBM as well as EBM's limitations. Delayed diffusion and peculiar features of evidence-based radiology (EBR) are defined with emphasis on the need to shift from the demonstration of the increasing ability to see more and better, to the demonstration of a significant change in treatment planning or, at best, of a significant gain in patient outcome. The "as low as reasonably achievable" (ALARA) principle is thought as a dimension of EBR while EBR is proposed as part of the core curriculum of radiology residency. Moreover, we describe the process of health technology assessment in radiology with reference to the six-level scale of hierarchy of studies on diagnostic tests, the main sources of bias in studies on diagnostic performance, and levels of evidence and degrees of recommendations according to the Centre for Evidence-Based Medicine (Oxford, UK) as well as the approach proposed by the GRADE working group. Problems and opportunities offered by evidence-based guidelines in radiology are considered. Finally, we suggest nine points to be actioned by the ESR in order to promote EBR.
conclusionRadiology will benefit greatly from the improvement in practice that will result from adopting this more rigorous approach to all aspects of our work.
Indexed as
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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.