The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Regression of Microalbuminuria in Type 1 Diabetes
Open accessAbstract
BACKGROUND: In the present study, we aimed to determine the frequency of a significant reduction in urinary albumin excretion and factors affecting such reduction in patients with type 1 diabetes and microalbuminuria. METHODS: The study included 386 patients with persistent microalbuminuria, indicated by repeated measurements of urinary albumin excretion (estimated on the basis of albumin-to-creatinine ratios) in the range of 30 to 299 microg per minute during an initial two-year evaluation period. Subsequent measurements during the next six years were grouped into two-year periods, averaged, and analyzed for regression of microalbuminuria, which was defined as a 50 percent reduction in urinary albumin excretion from one two-year period to the next. RESULTS: Regression of microalbuminuria was frequent, with a six-year cumulative incidence of 58 percent (95 percent confidence interval, 52 to 64 percent). The use of angiotensin-converting-enzyme inhibitors was not associated with the regression of microalbuminuria. However, microalbuminuria of short duration, salutary levels of glycosylated hemoglobin (less than 8 percent), low systolic blood pressure (less than 115 mm Hg), and low levels of both cholesterol and triglycerides (less than 198 mg per deciliter [5.12 mmol per liter] and 145 mg per deciliter [1.64 mmol per liter], respectively) were independently associated with the regression of microalbuminuria. Patients with salutary levels of all modifiable factors had a hazard ratio for regression of 3.0 (95 percent confidence interval, 1.5 to 6.0), as compared with patients with no salutary levels of any modifiable factor. CONCLUSIONS: Frequent regression of microalbuminuria in patients with type 1 diabetes indicates that elevated urinary albumin excretion does not imply inexorably progressive nephropathy. Identification of the multiple determinants of the regression of microalbuminuria has implications for current theories about the mechanisms of early diabetic nephropathy.
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
The Diabetes Control and Complications (DCCT) Research Group (1995) · Kidney International · doi:10.1038/ki.1995.236 · Cited by 694
WANG, P. (1993) · The Lancet · doi:10.1016/0140-6736(93)90816-y · Cited by 446
Cited by
Diabetic nephropathy: diagnosis, prevention, and treatment
Gross, J. L., de Azevedo, M. J., Silveiro, S. P., Canani, L. H., Caramori, M. L., & Zelmanovitz, T. (2005) · Diabetes Care · doi:10.2337/diacare.28.1.164 · Cited by 1,839
Katsarou, A., Gudbjörnsdottir, S., Rawshani, A., Dabelea, D., Bonifacio, E., Anderson, B. J., Jacobsen, L. M., Schatz, D. A., & Lernmark, Å. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.16 · Cited by 1,475
Ismail-Beigi, F., Craven, T., Banerji, M. A., Basile, J., Calles, J., Cohen, R. M., Cuddihy, R., Cushman, W. C., Genuth, S., Grimm, R. H., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60576-4 · Cited by 1,428
KDOQI clinical practice guideline for diabetes and CKD: 2012 update
(2012) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2012.07.005 · Cited by 1,320
Care of Children and Adolescents With Type 1 Diabetes
Silverstein, J., Klingensmith, G., Copeland, K., Plotnick, L., Kaufman, F., Laffel, L., Deeb, L., Grey, M., Anderson, B., Holzmeister, L. A., et al. (2005) · Diabetes Care · doi:10.2337/diacare.28.1.186 · Cited by 1,312
Metadata
- Authors
- Perkins, B. A., Ficociello, L. H., Silva, K. H., Finkelstein, D. M., Warram, J. H., & Krolewski, A. S.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2003-06-05
- Volume
- 348
- Issue
- 23
- Pages
- 2285-2293
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2030241337
- Cited by
- 801
- References
- 2
- FWCI
- 24.38
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Regression of Microalbuminuria in Type 1 Diabetes. https://app.cochat.ai/papers/10.1056/nejmoa021835
- The paper
- Perkins, B. A., Ficociello, L. H., Silva, K. H., Finkelstein, D. M., Warram, J. H., & Krolewski, A. S. (2003). Regression of Microalbuminuria in Type 1 Diabetes. New England Journal of Medicine. https://doi.org/10.1056/nejmoa021835
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.