ArticleEuropean journal of epidemiology2018
Epidemiology in wonderland: Big Data and precision medicine.
Article in European journal of epidemiology, 2018. 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.
- The impact of a decision tree-based BOPPPS blended teaching model on cognitive performance in clinical epidemiology.Frontiers in public health · 2026Observational
- Deep phenotyping towards precision psychiatry of first-episode depression - the Brain Drugs-Depression cohort.BMC psychiatry · 2023Article
- Plastic diagnostics: The remaking of disease and evidence in personalized medicine.Social science & medicine (1982) · 2022Article
- Health and household environment factors linked with early alcohol use in adolescence: a record-linked, data-driven, longitudinal cohort study.International journal of population data science · 2022Article
- Addressing persistent evidence gaps in cardiovascular sex differences research - the potential of clinical care data.Frontiers in global women's health · 2022Article
- Child maltreatment by non-accidental burns: interest of an algorithm of detection based on hospital discharge database.International journal of legal medicine · 2021Article
- When will individuals meet their personalized probabilities? A philosophical note on risk prediction.European journal of epidemiology · 2020Article
- Radiomics: from qualitative to quantitative imaging.The British journal of radiology · 2020Review
- Polygenic risk scores and the prediction of common diseases.International journal of epidemiology · 2020Article
- Precise hepatectomy in the intelligent digital era.International journal of biological sciences · 2020Review
- Contributions of the UK biobank high impact papers in the era of precision medicine.European journal of epidemiology · 2020Review
- Genetic Approaches for Sports Performance: How Far Away Are We?Sports medicine (Auckland, N.Z.) · 2019Review
- Fifteen years of epidemiology in BMC Medicine.BMC medicine · 2019Article
- Time to care: why the humanities and the social sciences belong in the science of health.BMJ open · 2019Article
- Promises, promises, and precision medicine.The Journal of clinical investigation · 2019Review
- Big Data and the Study of Social Inequalities in Health: Expectations and Issues.Frontiers in public health · 2018Article
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
No grant is acknowledged in the PubMed record.
Abstract
Big Data and precision medicine, two major contemporary challenges for epidemiology, are critically examined from two different angles. In Part 1 Big Data collected for research purposes (Big research Data) and Big Data used for research although collected for other primary purposes (Big secondary Data) are discussed in the light of the fundamental common requirement of data validity, prevailing over "bigness". Precision medicine is treated developing the key point that high relative risks are as a rule required to make a variable or combination of variables suitable for prediction of disease occurrence, outcome or response to treatment; the commercial proliferation of allegedly predictive tests of unknown or poor validity is commented. Part 2 proposes a "wise epidemiology" approach to: (a) choosing in a context imprinted by Big Data and precision medicine-epidemiological research projects actually relevant to population health, (b) training epidemiologists,
Indexed as
Identifiers
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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.