ArticleAge and ageing2020
New Horizons in the use of routine data for ageing research.
Article in Age and ageing, 2020. 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.
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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.
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Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- About half of older adults have two or more chronic conditions at the same time: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data.Age and ageing · 2024Pooled it
- Clinical outcomes in patients with atrial fibrillation and frailty: insights from the ENGAGE AF-TIMI 48 trial.BMC medicine · 2020Trial
- Leveraging Real-World Data for Clinical Decision Making in Geriatric Oncology.Drugs & aging · 2026Review
- Article
- Dementia data for people living in care homes: cross-sectoral national data linkage study of care home, healthcare and administrative data sources.International journal of population data science · 2026Article
- Call to collaborate on data science for older people across Europe: an EuGMS Big Data Special Interest Group position paper.European geriatric medicine · 2025Article
- Frailty indices based on routinely collected data: a scoping review.The Journal of frailty & aging · 2025Article
- Hospital care trajectories of older adults with cancer and the associated clinical profiles.The oncologist · 2025Article
- Cognitive performance classification of older patients using machine learning and electronic medical records.Scientific reports · 2025Article
- Article
- The effect of comorbidities on diagnostic interval for lung cancer in England: a cohort study using electronic health record data.British journal of cancer · 2024Article
- Observational
- Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis.Current Alzheimer research · 2024Review
- Article
- Artificial intelligence for dementia-Applied models and digital health.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Review
- Cardiovascular disease in older women with CKD.Clinical kidney journal · 2023Article
- Measurement of healthy ageing.Age and ageing · 2023Article
- What is the impact of a pre-hospital geriatrician led telephone 'Silver Triage' for older people living with frailty?European geriatric medicine · 2023Article
- Researching multimorbidity in hospital: can we deliver on the promise of health informatics?European geriatric medicine · 2023Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
The past three decades have seen a steady increase in the availability of routinely collected health and social care data and the processing power to analyse it. These developments represent a major opportunity for ageing research, especially with the integration of different datasets across traditional boundaries of health and social care, for prognostic research and novel evaluations of interventions with representative populations of older people. However, there are considerable challenges in using routine data at the level of coding, data analysis and in the application of findings to everyday care. New Horizons in applying routine data to investigate novel questions in ageing research require a collaborative approach between clinicians, data scientists, biostatisticians, epidemiologists and trial methodologists. This requires building capacity for the next generation of research leaders in this important area. There is a need to develop consensus code lists and standardised, validated algorithms for common conditions and outcomes that are relevant for older people to maximise the potential of routine data research in this group. Lastly, we must help drive the application of routine data to improve the care of older people, through the development of novel methods for evaluation of interventions using routine data infrastructure. We believe that harnessing routine data can help address knowledge gaps for older people living with multiple conditions and frailty, and design interventions and pathways of care to address the complex health issues we face in caring for older people.
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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.