ArticlePloS one2015
How to Establish and Follow up a Large Prospective Cohort Study in the 21st Century--Lessons from UK COSMOS.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06522698 (Optimizing Research Data Acquisition With Smart Pill Bottles), which is not on this map. Cited by 53 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.
Optimizing Research Data Acquisition With Smart Pill Bottles: A Feasibility and Implementation Study
Who cites it
53 citing papers in PubMed.
- Effects of different invitation strategies on participation in a cohort study of Iranian public sector employees: a cluster randomized trial.BMC medical research methodology · 2021Trial
- Beliefs of medicine questionnaire: Translation, validation, and adaptation for post-acute coronary syndrome patients in the south of Sulawesi population, Indonesia.Exploratory research in clinical and social pharmacy · 2026Article
- Article
- Non-linear relationships between lifetime unemployment exposure, major health outcomes and all-cause mortality: a retrospective and prospective study in a large population-based French cohort.BMC public health · 2025Article
- Comparative effectiveness of anti-seizure medications in emulated trials using medical informatics.Brain : a journal of neurology · 2025Article
- Characteristics of cohort data management systems (CDMS): a scoping review.BMC medical research methodology · 2025Article
- Effectiveness and Costs of Participant Recruitment Strategies to a Web-Based Population Cohort: Observational Study.Journal of medical Internet research · 2025Observational
- Estimation of events in cohort studies based on probability of cognitive impairment.Journal of Alzheimer's disease : JAD · 2025Article
- Observational birth cohorts for causal and predictive inference: The example of childhood asthma and allergic diseases.The Journal of allergy and clinical immunology · 2025Review
- Observational
- A Systematic Review and Meta-Analysis Association Between Periodontitis and Age-Related Macular Degeneration: Potential for Personalized Approach.Journal of personalized medicine · 2025Review
- Longitudinal tracking of healthcare professionals: a methodological scoping review.BMC medical research methodology · 2025Article
- The BrainWaves study of adolescent wellbeing and mental health: Methods development and pilot data.PloS one · 2025Article
- Omnipresent intercorrelations of metabolic syndrome markers in the general population.PloS one · 2025Article
- Creation of a pandemic memory by tracing COVID-19 infections and immunity in Luxembourg (CON-VINCE).BMC infectious diseases · 2024Article
- Novel recruitment approaches and operational results for a statewide population Cohort for cancer research: The Healthy Oregon Project.Journal of clinical and translational science · 2024Article
- Article
- Observational
- Article
- Prevalence and trends of common mental disorders from 2007-2009 to 2019-2022: results from the Netherlands Mental Health Survey and Incidence Studies (NEMESIS), including comparison of prevalence rates before vs. during the COVID-19 pandemic.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
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.
Funding
Abstract
Large-scale prospective cohort studies are invaluable in epidemiology, but they are increasingly difficult and costly to establish and follow-up. More efficient methods for recruitment, data collection and follow-up are essential if such studies are to remain feasible with limited public and research funds. Here, we discuss how these challenges were addressed in the UK COSMOS cohort study where fixed budget and limited time frame necessitated new approaches to consent and recruitment between 2009-2012. Web-based e-consent and data collection should be considered in large scale observational studies, as they offer a streamlined experience which benefits both participants and researchers and save costs. Commercial providers of register and marketing data, smartphones, apps, email, social media, and the internet offer innovative possibilities for identifying, recruiting and following up cohorts. Using examples from UK COSMOS, this article sets out the dos and don'ts for today's cohort studies and provides a guide on how best to take advantage of new technologies and innovative methods to simplify logistics and minimise costs. Thus a more streamlined experience to the benefit of both research participants and researchers becomes achievable.
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.