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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Costs and economics

Topic: Health services, long-term care and technology

People with Down syndrome have higher age-specific mortality rates compared to the general population as well as peers with other intellectual and developmental disabilities. While a large proportion of mortality is attributable to Alzheimer’s disease, many die prior to Alzheimer’s diagnosis and some live to old ages, dying without Alzheimer’s. Our objectives were to use 11 years of Medicaid and Medicare data to describe characteristics and factors related to death in adults with Down syndrome and use machine learning to identify which conditions most strongly predict death in the full population and stratified by age. We identified death using Center for Medicare and Medicaid Systems reported date of death health conditions using ICD 9 and 10 codes. We used a case-control design with risk set sampling to have that controls to mimic the distribution of times of incident Alzheimer’s disease. We trained gradient boosted trees to identify strongest predictors. Our cohort included 137,293 adults with Down syndrome. Among those, 30,894 (22.5%) died during the study period. Mean age at death among those who died was 55 years (SD=10). Mean age of death in those with Alzheimer’s disease was 59 (SD=7) and those without was 52 (SD=12). The most influential predictors of mortality were any claim for dementia, any claim for pneumonia, re-occurring claim for cardiovascular disease three years before index death, and any claim for heart failure and epilepsy. Our results align with previous clinical work and highlight intervenable areas to reduce mortality in the Down syndrome population.

Key findings

Study details

How this study scored 16/100
How this study's score is builtJournal tier 2 of 10; Journal's citation record 0 of 4; Study design 6 of 12; Strength of evidence 3 of 5; Peer-review validation 4 of 10; How recent 5 of 5; Sample size 4 of 4; Effect reported 2 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited left out, no data; Citations per year left out, no data; Impact for its field and year left out, no data; Cited by studies here left out, no data; Still being cited left out, no data; Senior author's track record left out, no data; Institution's track record left out, no data; Multi-centre collaboration left out, no data; Indexed in PubMed 1 of 2; Free to read 0 of 2. 30 of the 62 points it could be judged on, which is 48 of 100. Raw total 48 of 100, shown as 16 because this is not a peer-reviewed research article.raw total 48 of 100capped at 16 — hatched points do not count

Preprint — not yet peer-reviewed. It scored 48 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for randomised / blinded because the record does not state it. We have no data on 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 30 of the 62 points we could judge it on, which is 48 out of 100.

ComponentPointsWhy
Journal tier 2 / 10 Tier 4 — not a peer-reviewed journal (medRxiv)
Journal's citation record 0 / 4 Not a journal article, so the journal's record does not count
Study design 6 / 12 A case-control study
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 4 / 10 Preprint — not yet peer-reviewed. Hosted on a preprint server.
How recent 5 / 5 2026 — within 1 year(s) of the newest study here
Sample size 4 / 4 137,293 participants
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 3 / 3 Studied in people (participant count stated)
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 1 / 2 Not in PubMed, but has a DOI
Free to read 0 / 2 Behind a paywall — scores zero
Points 30 / 62 Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 30 of the 62 points we could judge it on is 48 out of 100.
Total 48 / 100 Capped to 16 because this is not a peer-reviewed article.

What each of these 20 components measures, and what this score is not →

Read the original

Free copy unknown: no free-copy check has an answer for this record yet. That does not mean it is paywalled.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 8 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

APA 7th

Tewolde, S., Rosellini, A. J., Michals, A., Skotko, B. G., Fortea, J., Khor, B., et al. (2026). Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults. medRxiv. https://doi.org/10.64898/2026.07.17.26358090

Vancouver

Tewolde S, Rosellini AJ, Michals A, Skotko BG, Fortea J, Khor B, et al. Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults. medRxiv. 2026. doi:10.64898/2026.07.17.26358090.

BibTeX

@article{tewolde2026-e7d4e2b2,
  author  = {Tewolde, S. and Rosellini, A. J. and Michals, A. and Skotko, B. G. and Fortea, J. and Khor, B. and Handelman, S. and Rubenstein, E.},
  title   = {{Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.17.26358090},
  url     = {https://doi.org/10.64898/2026.07.17.26358090}
}

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