ReviewInternational journal of radiation oncology, biology, physics2014
Considerations for observational research using large data sets in radiation oncology.
Review in International journal of radiation oncology, biology, physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Regional Nodal Irradiation After Breast Conserving Surgery for Early HER2-Positive Breast Cancer: Results of a Subanalysis From the ALTTO Trial.Journal of the National Cancer Institute · 2017Trial
- Critical review of patient outcome study in head and neck cancer radiotherapy.Meta-radiology · 2025Article
- Article
- Population-level and individual-level explainers for propensity score matching in observational studies.Frontiers in oncology · 2022Article
- Effectiveness and Safety of Oral Anticoagulants Among Nonvalvular Atrial Fibrillation Patients With Active Cancer.JACC. CardioOncology · 2021Article
- Socio-economic factors do not affect overall survival in soft tissue sarcoma when patients treated at a single high-volume center.BMC cancer · 2021Article
- Contracture Severity at Hospital Discharge in Children: A Burn Model System Database Study.Journal of burn care & research : official publication of the American Burn Association · 2021Article
- Safety of image-guided radiotherapy in definitive radiotherapy for localized prostate cancer: a population-based analysis.The British journal of radiology · 2021Observational
- Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival.JAMA network open · 2021Article
- Effectiveness of image-guided radiotherapy for locally advanced lung cancer patients treated with definitive concurrent chemoradiotherapy.Thoracic cancer · 2020Article
- Evaluation of the Use of Cancer Registry Data for Comparative Effectiveness Research.JAMA network open · 2020Article
- Survival advantage of chemoradiotherapy in anaplastic thyroid carcinoma: Propensity score matched analysis with multiple subgroups.Head & neck · 2020Article
- An Overview of Lung and Breast Cancer Using the National Cancer Database.Asian Pacific journal of cancer prevention : APJCP · 2020Article
- Effectiveness of image-guided radiotherapy for locally advanced esophageal squamous cell carcinoma patients treated with definitive concurrent chemoradiotherapy.Thoracic cancer · 2020Article
- Impact of the interval between neoadjuvant concurrent chemoradiotherapy and esophagectomy in the modern era: a population-based propensity-score-matched retrospective cohort study in Asia.World journal of surgical oncology · 2019Article
- Observational
- Use of Claims Data for Cost and Cost-Effectiveness Research.Seminars in radiation oncology · 2019Review
- Strengths and limitations of large databases in lung cancer radiation oncology research.Translational lung cancer research · 2019Review
- The opportunities and shortcomings of using big data and national databases for sarcoma research.Cancer · 2019Review
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The radiation oncology community has witnessed growing interest in observational research conducted using large-scale data sources such as registries and claims-based data sets. With the growing emphasis on observational analyses in health care, the radiation oncology community must possess a sophisticated understanding of the methodological considerations of such studies in order to evaluate evidence appropriately to guide practice and policy. Because observational research has unique features that distinguish it from clinical trials and other forms of traditional radiation oncology research, the International Journal of Radiation Oncology, Biology, Physics assembled a panel of experts in health services research to provide a concise and well-referenced review, intended to be informative for the lay reader, as well as for scholars who wish to embark on such research without prior experience. This review begins by discussing the types of research questions relevant to radiation oncology that large-scale databases may help illuminate. It then describes major potential data sources for such endeavors, including information regarding access and insights regarding the strengths and limitations of each. Finally, it provides guidance regarding the analytical challenges that observational studies must confront, along with discussion of the techniques that have been developed to help minimize the impact of certain common analytical issues in observational analysis. Features characterizing a well-designed observational study include clearly defined research questions, careful selection of an appropriate data source, consultation with investigators with relevant methodological expertise, inclusion of sensitivity analyses, caution not to overinterpret small but significant differences, and recognition of limitations when trying to evaluate causality. This review concludes that carefully designed and executed studies using observational data that possess these qualities hold substantial promise for advancing our understanding of many unanswered questions of importance to the field of radiation oncology.
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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.