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Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study
McCoy TH, Han L, Pellegrini AM, Tanzi RE, Berretta S, Perlis RH.. Alzheimer's & dementia : the journal of the Alzheimer's Association, 2020-01-16
Topic: Health services, long-term care and technology
Introduction Preventing dementia, or modifying disease course, requires identification of presymptomatic or minimally symptomatic high-risk individuals. Methods We used longitudinal electronic health records from two large academic medical centers and applied a validated natural language processing tool to estimate cognitive symptomatology. We used survival analysis to examine the association of cognitive symptoms with incident dementia diagnosis during up to 8 years of follow-up. Results Among 267,855 hospitalized patients with 1,251,858 patient years of follow-up data, 6516 (2.4%) received a new diagnosis of dementia. In competing risk regression, an increasing cognitive symptom score was associated with earlier dementia diagnosis (HR 1.63; 1.54-1.72). Similar results were observed in the second hospital system and in subgroup analysis of younger and older patients. Discussion A cognitive symptom measure identified in discharge notes facilitated stratification of risk for dementia up to 8 years before diagnosis.
Key findings
- Results Among 267,855 hospitalized patients with 1,251,858 patient years of follow-up data, 6516 (2.4%) received a new diagnosis of dementia.
- In competing risk regression, an increasing cognitive symptom score was associated with earlier dementia diagnosis (HR 1.63; 1.54-1.72).
- Similar results were observed in the second hospital system and in subgroup analysis of younger and older patients.
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Study details
- Study designlongitudinal study
- Effect size2.4%; HR 1.63
- Evidence strengthModerate
How this study scored 62/100
Published in a leading specialty journal, and it is a longitudinal study following the same people over time. Scored zero for sample size, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 36 of the 58 points we could judge it on, which is 62 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & dementia : the journal of the Alzheimer's Association) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 7 / 12 | A longitudinal study following the same people over time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2020 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 31859230) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 36 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 36 of the 58 points we could judge it on is 62 out of 100. |
| Total | 62 / 100 | — |
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APA 7th
McCoy, T. H., Han, L., Pellegrini, A. M., Tanzi, R. E., Berretta, S., & Perlis, R. H. (2020). Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study. Alzheimer's & dementia : the journal of the Alzheimer's Association. https://doi.org/10.1016/j.jalz.2019.09.084
Vancouver
McCoy TH, Han L, Pellegrini AM, Tanzi RE, Berretta S, Perlis RH. Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2020. doi:10.1016/j.jalz.2019.09.084. PMID: 31859230.
BibTeX
@article{mccoy2020-31859230,
author = {McCoy, T. H. and Han, L. and Pellegrini, A. M. and Tanzi, R. E. and Berretta, S. and Perlis, R. H.},
title = {{Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study}},
journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
year = {2020},
doi = {10.1016/j.jalz.2019.09.084},
pmid = {31859230},
url = {https://doi.org/10.1016/j.jalz.2019.09.084}
}
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