Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 428

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Microalbuminuria: An Early Marker of Renal Involvement in Diabetes

Mogensen, C. E., Chachati, A., Christensen, C. K., Close, C. F., Deckert, T., Hommel, E., Kastrup, J., Lefebvre, P., Mathiesen, E. R., Feldt-Rasmussen, B., Schmitz, A., Viberti, G. C.·1985·Uremia Investigation

Abstract

Advancement in medical and clinical science is based upon new concepts, most often in combination with the development of new techniques or new laboratory procedures. This also is the case with the study of renal involvement in diabetes which constitutes a major' health problem (1). Although urinary protein assessment is one of the most commonly used clinical tests, including diabetology, this area has been grossly underdeveloped due to the very crude, nonquanitative screening methods used. The lack of precision of the most commonly used tests contrasts sharply to the severe consequences of microalbuminuria, proteinuria, and nephropathy for the patient (1-6). It is the long-term microvascular complications, specifically diabetic nephropathy and associated retinopathy, neuropathy, and large vessel disease, that are the main determinants of disability and increased mortality in diabetics.

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 · 10.3109/08860228509088195

Cites

26 of 26 references verified0 citation errors · 0 not checkable

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

Cites

Show all 26 references

Cited by

See all 428

Metadata

Authors
Mogensen, C. E., Chachati, A., Christensen, C. K., Close, C. F., Deckert, T., Hommel, E., Kastrup, J., Lefebvre, P., Mathiesen, E. R., Feldt-Rasmussen, B., Schmitz, A., & Viberti, G. C.
Venue
Uremia Investigation
Published
1985-01
Volume
9
Issue
2
Pages
85-95
ISSN
0740-1353 (ISSN-L)
OpenAlex
W2096120926
Cited by
428
References
26
FWCI
8.59
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: Microalbuminuria: An Early Marker of Renal Involvement in Diabetes. https://app.cochat.ai/papers/10.3109/08860228509088195
The paper
Mogensen, C. E., Chachati, A., Christensen, C. K., Close, C. F., Deckert, T., Hommel, E., Kastrup, J., Lefebvre, P., Mathiesen, E. R., Feldt-Rasmussen, B., Schmitz, A., & Viberti, G. C. (1985). Microalbuminuria: An Early Marker of Renal Involvement in Diabetes. Uremia Investigation. https://doi.org/10.3109/08860228509088195

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.