The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
White matter changes and diabetes predict cognitive decline in the elderly: The LADIS Study
Abstract
OBJECTIVE: We aimed to study if age-related white matter changes (WMC) and vascular risk factors were predictors of cognitive decline in elderly subjects with WMC living independently. METHODS: The Leukoaraiosis and Disability prospective multinational European study (LADIS) evaluates the impact of WMC on the transition of independent elderly subjects into disability. Independent elderly were enrolled due to the presence of WMC. Subjects were evaluated yearly during 3 years with a comprehensive clinical protocol and a neuropsychological battery. Additionally, dementia, subtypes of dementia, and cognitive decline without dementia were classified according to usual clinical criteria. MRI was performed at entry and at the end of the study. RESULTS: A total of 639 subjects were included (74.1 +/- 5 years, 55% women, 9.6 +/- 3.8 years of schooling). At end of follow-up, 90 patients had dementia and 147 had cognitive impairment no dementia. Using Cox regression analysis, WMC severity independently predicted cognitive decline (dementia and not dementia), independently of age, education, and medial temporal atrophy (MTA). Diabetes at baseline was the only vascular risk factor that independently predicted cognitive decline during follow-up, controlling for age, education, WMC severity, and temporal atrophy. Considering subtypes of dementia, Alzheimer disease (AD) was predicted only by MTA, while vascular dementia was predicted by previous stroke, WMC severity, and MTA. CONCLUSION: WMC severity and diabetes are independent predictors of cognitive decline in an initially nondisabled elderly population. Vascular dementia is predicted by previous stroke and WMC, while AD is predicted only by MTA.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living
Lawton, M. P., & Brody, E. M. (1969) · The Gerontologist · doi:10.1093/geront/9.3_part_1.179 · Cited by 18,540
Risk of dementia in diabetes mellitus: a systematic review
Biessels, G. J., Staekenborg, S., Brunner, E., Brayne, C., & Scheltens, P. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70284-2 · Cited by 2,187
Cognitive decline and dementia in diabetes—systematic overview of prospective observational studies
Cukierman, T., Gerstein, H. C., & Williamson, J. D. (2005) · Diabetologia · doi:10.1007/s00125-005-0023-4 · Cited by 1,049
van Straaten, E. C. W., Fazekas, F., Rostrup, E., Scheltens, P., Schmidt, R., Pantoni, L., Inzitari, D., Waldemar, G., Erkinjuntti, T., Mäntylä, R., et al. (2006) · Stroke · doi:10.1161/01.str.0000202585.26325.74 · Cited by 314
Self-citationNeuropathological basis of magnetic resonance images in aging and dementia
Jagust, W. J., Zheng, L., Harvey, D. J., Mack, W. J., Vinters, H. V., Weiner, M. W., Ellis, W. G., Zarow, C., Mungas, D., Reed, B. R., et al. (2008) · Annals of Neurology · doi:10.1002/ana.21296 · Cited by 302
Transitions to mild cognitive impairments, dementia, and death: findings from the Nun Study
Tyas, S. L., Salazar, J. C., Snowdon, D. A., Desrosiers, M. F., Riley, K. P., Mendiondo, M. S., & Kryscio, R. J. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm085 · Cited by 163
Cited by
Sex differences in cognitive impairment and Alzheimer’s disease
Li, R., & Singh, M. (2014) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2014.01.002 · Cited by 527
Hersi, M., Irvine, B., Gupta, P., Gomes, J., Birkett, N., & Krewski, D. (2017) · NeuroToxicology · doi:10.1016/j.neuro.2017.03.006 · Cited by 332
Webb, A. J. S., Simoni, M., Mazzucco, S., Kuker, W., Schulz, U., & Rothwell, P. M. (2012) · Stroke · doi:10.1161/strokeaha.112.655837 · Cited by 304
Hartz, A. M. S., Bauer, B., Soldner, E. L. B., Wolf, A., Boy, S., Backhaus, R., Mihaljevic, I., Bogdahn, U., Klünemann, H. H., Schuierer, G., et al. (2012) · Stroke · doi:10.1161/strokeaha.111.627562 · Cited by 248
Genome-wide association study of the rate of cognitive decline in Alzheimer’s disease
Sherva, R., Tripodis, Y., Bennett, D. A., Chibnik, L. B., Crane, P. K., de Jager, P. L., Farrer, L. A., Saykin, A. J., Shulman, J. M., Naj, A., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.008 · Cited by 180
Metadata
- Authors
- Verdelho, A., Madureira, S., Moleiro, C., Ferro, J. M., Santos, C. O., Erkinjuntti, T., Pantoni, L., Fazekas, F., Visser, M., Waldemar, G., Wallin, A., Hennerici, M., & Inzitari, D.
- Venue
- Neurology
- Published
- 2010-07-13
- Volume
- 75
- Issue
- 2
- Pages
- 160-167
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2064326477
- Cited by
- 192
- References
- 6
- FWCI
- 10.97
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: White matter changes and diabetes predict cognitive decline in the elderly: The LADIS Study. https://app.cochat.ai/papers/10.1212/wnl.0b013e3181e7ca05
- The paper
- Verdelho, A., Madureira, S., Moleiro, C., Ferro, J. M., Santos, C. O., Erkinjuntti, T., Pantoni, L., Fazekas, F., Visser, M., Waldemar, G., Wallin, A., Hennerici, M., & Inzitari, D. (2010). White matter changes and diabetes predict cognitive decline in the elderly: The LADIS Study. Neurology. https://doi.org/10.1212/wnl.0b013e3181e7ca05
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.