The DOI matches its Crossref record.
Microalbuminuria: A Major Risk Factor in Non‐insulin‐dependent Diabetes. A 10‐year Follow‐up Study of 503 Patients
Abstract
The impact of microalbuminuria on mortality as well as other risk factors was investigated in a 10‐year follow‐up study of 503 predominantly non‐insulin‐dependent diabetic patients of whom 265 had died. Using Cox's regression analysis the prognostic influence of age, sex, age at diagnosis, known diabetes duration, blood pressure, fasting plasma glucose, relative weight, serum creatinine, retinopathy, and treatment was evaluated as well as morning urine albumin concentration (UAC) in four categories, i.e. UAC 15 μg/ml (normal), 15 μg/ml < UAC 40 μg/ml, 40 μg/ml < UAC 200 μg/ml and UAC > 200 μg/ml. Age, UAC, known duration, and serum creatinine were the only significant risk factors. After correction for the other three independent risk factors, the hazard ratios in the elevated UAC categories relative to the group with UAC 15 μg/ml were 1.53 (p= 0.007), 2.28 (p= 0.000002), and 1.82 (p= 0.02). The statistically significant correlations with UAC were: age (r= 0.09,p< 0.05), duration (r= 0.14,p< 0.01), systolic blood pressure (r= 0.12,p< 0.01), serum creatinine (r= 0.33,p< 0.001), and fasting plasma glucose (r= 0.12,p< 0.01). Increased UAC was associated also with retinopathy (p= 0.01). Fifty‐eight per cent of the deaths were caused by cardiovascular disease or stroke; only 3% died from uraemia. A reinvestigation including blood pressure, fasting plasma glucose, and UAC was made on 208 survivors.
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
Cited by
Albuminuria reflects widespread vascular damage: The Steno hypothesis
Deckert, T., Feldt-Rasmussen, B., Borch-Johnsen, K., Jensen, T., & Kofoed-Enevoldsen, A. (1989) · Diabetologia · doi:10.1007/bf00285287 · Cited by 1,400
Keane, W. F., Brenner, B. M., de Zeeuw, D., Grunfeld, J.-P., McGill, J., Mitch, W. E., Ribeiro, A. B., Shahinfar, S., Simpson, R. L., Snapinn, S. M., et al. (2003) · Kidney International · doi:10.1046/j.1523-1755.2003.00885.x · Cited by 539
Metadata
- Authors
- Schmitz, A., & Vaeth, M.
- Venue
- Diabetic Medicine
- Publisher
- Wiley
- Published
- 1988-03
- Volume
- 5
- Issue
- 2
- Pages
- 126-134
- ISSN
- 0742-3071 (ISSN-L)
- 1464-5491
- OpenAlex
- W2001479619
- Cited by
- 439
- References
- 0
- FWCI
- 14.52
- 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
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.