ArticleClinical epidemiology2017
Clinical epidemiology in the era of big data: new opportunities, familiar challenges.
Article in Clinical epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses 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
41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 121 citations in OpenAlex.
- Systematic review of validated case definitions to identify hypertensive disorders of pregnancy in administrative healthcare databases.Open heart · 2023Pooled it
- Phenome-wide association studies across large population cohorts support drug target validation.Nature communications · 2018Pooled it
- Superficial white matter and gray matter jointly support cognition among older adults in India.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The impact of a decision tree-based BOPPPS blended teaching model on cognitive performance in clinical epidemiology.Frontiers in public health · 2026Observational
- Genetics to Improve Outcomes in Schizophrenia (GENios): A within-case molecular genetic study protocol.PloS one · 2026Article
- Modern sources of controls in case-control studies.American journal of epidemiology · 2025Article
- Missed opportunities for digital health data use in healthcare decision-making: A cross-sectional digital health landscape assessment in Homa Bay county, Kenya.PLOS digital health · 2025Article
- Examining the Potential Mediating Role of Maternal Mental Health in the Association Between Socioeconomic Deprivation and Child Development Outcomes.Maternal and child health journal · 2025Article
- Article
- Work unit level personnel working hours and the patients' length of in-hospital stay-An administrative data approach.PLOS digital health · 2023Article
- Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing.Journal of healthcare engineering · 2023Article
- Study Types in Orthopaedics Research: Is My Study Design Appropriate for the Research Question?The Journal of arthroplasty · 2022Observational
- Measurement Error and Misclassification in Orthopedics: When Study Subjects are Categorized in the Wrong Exposure or Outcome Groups.The Journal of arthroplasty · 2022Article
- Establishing a National Cardiovascular Disease Surveillance System in the United States Using Electronic Health Record Data: Key Strengths and Limitations.Journal of the American Heart Association · 2022Article
- Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed.Human brain mapping · 2022Review
- Constructing Epidemiologic Cohorts from Electronic Health Record Data.International journal of environmental research and public health · 2021Article
- Article
- Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study.JMIR medical informatics · 2021Article
- A Review on the Application and Limitations of Administrative Health Care Data for the Study of Acute Kidney Injury Epidemiology and Outcomes in Children.Frontiers in pediatrics · 2021Review
- Sex, Age, and Socioeconomic Differences in Nonfatal Stroke Incidence and Subsequent Major Adverse Outcomes.Stroke · 2021Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Routinely recorded health data have evolved from mere by-products of health care delivery or billing into a powerful research tool for studying and improving patient care through clinical epidemiologic research. Big data in the context of epidemiologic research means large interlinkable data sets within a single country or networks of multinational databases. Several Nordic, European, and other multinational collaborations are now well established. Advantages of big data for clinical epidemiology include improved precision of estimates, which is especially important for reassuring ("null") findings; ability to conduct meaningful analyses in subgroup of patients; and rapid detection of safety signals. Big data will also provide new possibilities for research by enabling access to linked information from biobanks, electronic medical records, patient-reported outcome measures, automatic and semiautomatic electronic monitoring devices, and social media. The sheer amount of data, however, does not eliminate and may even amplify systematic error. Therefore, methodologies addressing systematic error, clinical knowledge, and underlying hypotheses are more important than ever to ensure that the signal is discernable behind the noise.
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.