ArticleJournal of medical Internet research2016
Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics.
Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Comparing the Performance of Charlson and Elixhauser Comorbidity Indices to Predict In-Hospital Mortality Among a Chinese Population.Clinical epidemiology · 2020Article
- Inferring Smoking Status from User Generated Content in an Online Cessation Community.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019Article
- Extreme Consumers of Health Care: Patterns of Care Utilization in Patients with Multiple Chronic Conditions Admitted to a Novel Integrated Clinic.Journal of multidisciplinary healthcare · 2019Article
- Abiraterone in chemotherapy-naive patients with metastatic castration-resistant prostate cancer: a systematic review of 'real-life' studies.Therapeutic advances in urology · 2018Article
- The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison.Journal of biomedical informatics · 2018Article
- Three controversies in health data science.International journal of data science and analytics · 2018Article
- Connected Health Devices for Health Care in French General Medicine Practice: Cross-Sectional Study.JMIR mHealth and uHealth · 2017Article
- Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon.JMIR medical informatics · 2017Article
- Web-Based Tools for Text-Based Patient-Provider Communication in Chronic Conditions: Scoping Review.Journal of medical Internet research · 2017Article
- To establish a body of evidence on safety for postmarketing Chinese medicine: A new research paradigm.Chinese journal of integrative medicine · 2017Article
- How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the accelerating pace of scientific discovery, the current clinical research enterprise does not sufficiently address pressing clinical questions. Given the constraints on clinical trials, for a majority of clinical questions, the only relevant data available to aid in decision making are based on observation and experience. Our purpose here is 3-fold. First, we describe the classic context of medical research guided by Poppers' scientific epistemology of "falsificationism." Second, we discuss challenges and shortcomings of randomized controlled trials and present the potential of observational studies based on big data. Third, we cover several obstacles related to the use of observational (retrospective) data in clinical studies. We conclude that randomized controlled trials are not at risk for extinction, but innovations in statistics, machine learning, and big data analytics may generate a completely new ecosystem for exploration and validation.
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.