ReviewCurrent neurology and neuroscience reports2015
Using Administrative Data to Examine Health Disparities and Outcomes in Neurological Diseases of the Elderly.
Review in Current neurology and neuroscience reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Lewy body dementia promotion by air pollutants.Science (New York, N.Y.) · 2025Article
- Barriers and facilitators to Parkinson's disease research participation amongst underrepresented groups.BMC research notes · 2025Article
- Need for awareness and surveillance of long-term post-COVID neurodegenerative disorders. A position paper from the neuroCOVID-19 task force of the European Academy of Neurology.Journal of neurology · 2025Review
- Claims-Based Frailty and Outcomes: Applying an Aging Measure to Older Adults with Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2021Observational
- Generation and validation of algorithms to identify subjects with dementia using administrative data.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Article
- Bias in pharmacoepidemiologic studies using secondary health care databases: a scoping review.BMC medical research methodology · 2019Article
- Assessing the Antioxidant Properties ofMolecules (Basel, Switzerland) · 2018Article
- Secondary Analysis of Existing Datasets for Dementia and Palliative Care Research: High-Value Applications and Key Considerations.Journal of palliative medicine · 2018Review
- Neuroprotective effect of antioxidant compounds.Neural regeneration research · 2016Article
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
The fields of neurodegenerative disease and dementia research have grown considerably in the last several decades. Due to tremendous efforts of basic and clinical research scientists, we know a great deal about dementia risk factors and have multiple treatment options. Clinician recognition of cognitive impairment has increased considerably, national policies which support screening for and documenting cognitive dysfunction now exist, and public awareness of neurodegenerative disease has never been greater. These conditions promote (and demand) the growth of translational epidemiology and health services research, which focuses on examining outcomes in groups of individuals as a function of health care experiences. This review discusses the use of administrative data to answer health care outcomes and disparities questions in dementia. Of particular interest are publically available datasets that contain varying amounts of diagnostic, clinical, pharmacy, and patient information. Methodological challenges that are frequently encountered and must be understood to minimize biased inference are also discussed.
Indexed as
Identifiers
26423637What 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.