Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,569

The DOI matches its Crossref record.

Predicting Diabetic Nephropathy in Insulin-Dependent Patients

Mogensen, C. E., Christensen, C. K.·1984·New England Journal of Medicine

Abstract

We studied whether microalbuminuria (urinary albumin excretion rates of 15 to 150 micrograms per minute) would predict the development of increased proteinuria in Type I diabetes. We also studied the influence of glomerular filtration rate, renal blood flow, and blood pressure on the later development of proteinuria. Forty-four patients who had had Type I diabetes for at least seven years and who had albumin excretion rates below 150 micrograms per minute were studied from 1969 to 1976, and 43 were restudied in 1983. Of the 14 who initially had albumin excretion rates at or above 15 micrograms per minute, 12 had clinically detectable proteinuria (over 500 mg of protein per 24 hours) or an albumin excretion rate above 150 micrograms per minute at the later examination. Of the 29 who initially had albumin excretion rates below 15 micrograms per minute, none had clinically detectable proteinuria at the later examination, although four had microalbuminuria. Those whose condition progressed to clinically overt proteinuria had elevated glomerular filtration rates and higher blood pressures at the initial examination than did those in whom proteinuria did not develop. Renal blood flow was not elevated in these patients. We conclude that microalbuminuria predicts the development of diabetic nephropathy and that elevated glomerular filtration rates and increased blood pressure may also contribute to this progression.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1056/nejm198407123110204

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 1,569

Metadata

Authors
Mogensen, C. E., & Christensen, C. K.
Venue
New England Journal of Medicine
Published
1984-07-12
Volume
311
Issue
2
Pages
89-93
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2332239235
Cited by
1,569
References
0
FWCI
56.20
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: Predicting Diabetic Nephropathy in Insulin-Dependent Patients. https://app.cochat.ai/papers/10.1056/nejm198407123110204
The paper
Mogensen, C. E., & Christensen, C. K. (1984). Predicting Diabetic Nephropathy in Insulin-Dependent Patients. New England Journal of Medicine. https://doi.org/10.1056/nejm198407123110204

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.