ReviewAmerican journal of epidemiology2015
Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine.
Review in American journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Using Omaha System data to explore relationships between client outcomes, phenotypes, and targeted home intervention approaches: an exemplar examining practice effectiveness for older women with circulation problems.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study.Journal of medical Internet research · 2022Article
- Rare disease emerging as a global public health priority.Frontiers in public health · 2022Review
- A Structured Approach to Evaluating Life-Course Hypotheses: Moving Beyond Analyses of Exposed Versus Unexposed in the -Omics Context.American journal of epidemiology · 2021Article
- Review
- Hypoglossal Nerve Stimulation in the Treatment of Obstructive Sleep Apnea: Patient Selection and New Perspectives.Nature and science of sleep · 2020Review
- Feasibility Analysis of CareToy-Revised Early Intervention in Infants at High Risk for Cerebral Palsy.Frontiers in neurology · 2020Article
- Creation of a Multicenter Pediatric Inpatient Data Repository Derived from Electronic Health Records.Applied clinical informatics · 2019Article
- Posttraumatic Stress Disorder and Death From Suicide.Current psychiatry reports · 2018Review
- The replication crisis in epidemiology: snowball, snow job, or winter solstice?Current epidemiology reports · 2018Article
- "Big data" in economic history.The journal of economic history · 2018Article
- The Evolution of Public Health Genomics: Exploring Its Past, Present, and Future.Frontiers in public health · 2018Review
- Pharmacological therapy and blood pressure control in primary health care sites in China: data from 254,848 hypertensive patients.Clinical epidemiology · 2018Article
- Joint Registration System under the Background of Big Data.Chinese medical journal · 2017Article
- Geospatial Approaches to Cancer Control and Population Sciences.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017Article
- Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps.International journal of health geographics · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
We live in the era of genomics and big data. Evaluating the impact on health of large-scale biological, social, and environmental data is an emerging challenge in the field of epidemiology. In the past 3 years, major discussions and plans for the future of epidemiology, including with several recommendations for actions to transform the field, have been launched by 2 institutes within the National Institutes of Health. In the present commentary, I briefly explore the themes of these recommendations and their effects on leadership, resources, cohort infrastructure, and training. Ongoing engagement within the epidemiology community is needed to determine how to shape the evolution of the field and what truly matters for changing population health. We also need to assess how to leverage existing epidemiology resources and develop new studies to improve human health. Readers are invited to examine these recommendations, consider others that might be important, and join in the conversation about the future of epidemiology.
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.