Evidence map›Paper›PMID 36158143›Full record

ArticleClinical kidney journal2022

Diagnosis 101: diabetic kidney disease.

Edgar V Lerma

Abstract readEditorial
In one paragraph

Article in Clinical kidney journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Edgar V LermaSection of Nephrology, Department of Medicine, University of Illinois at Chicago College of Medicine/ Associates in Nephrology, S.C., Chicago, IL, USA.ORCID https://orcid.org/0000-0002-0976-5478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) attributed to diabetes occurs in 20%-40% of patients with diabetes mellitus. Diabetic kidney disease (DKD) is recognized as the most common cause of end-stage kidney disease in the USA and most Western countries. For quite some time, it has been recognized that treatments based on inhibition of the renin-angiotensin system (RAS) can reduce the rates of cardiovascular morbidity and mortality in patients with DKD. Recently however, several novel agents, namely sodium-glucose co-transporter 2 inhibitors, dipeptidyl peptidase 4 inhibitors and glucagon-like peptide-1 receptor agonists, were demonstrated to not only improve glycemic control but also to improve cardiovascular and renal outcomes. Another agent, a nonsteroidal mineralocorticoid antagonist, has also been shown to have cardiorenal benefits in patients with DKD. With such new developments, one would expect that it would eventually translate into further slowing CKD progression in the DKD population, provided that patients are diagnosed appropriately and in a timely manner. In this study, the authors attempt to investigate real-world data, looking at how well providers are establishing the diagnosis of DKD and its potential implications.

Indexed as

albuminuria, CKD, diabetic kidney disease, GFRtype 2 diabetes

Identifiers

PMID36158143
PMCPMC9494539

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.