Evidence map›Paper›PMID 35529090›Full record

ReviewKidney international supplements2022

Clinical perspective-evolving evidence of mineralocorticoid receptor antagonists in patients with chronic kidney disease and type 2 diabetes.

Peter Rossing

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Kidney international supplements, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  6. Review
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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 at 1 institution in 1 country.

Peter RossingSteno Diabetes Center Copenhagen, Gentofte, Denmark.
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) in type 2 diabetes is a large and growing problem leading to end-stage kidney disease, atherosclerotic cardiovascular disease, and heart failure (HF). Aldosterone is a key risk factor in promoting inflammation and fibrosis, which causes cardiorenal failure. Treatment with angiotensin-converting enzyme inhibitors or angiotensin receptor blockers does not prevent overactivation of the mineralocorticoid receptor. Therapeutic options and challenges with blocking MR overactivation by aldosterone are reviewed herein. Whereas classic steroidal mineralocorticoid receptor antagonists (MRAs) reduced albuminuria in short-term studies of diabetic and nondiabetic CKD, long-term studies evaluating hard endpoints such as loss of kidney function were not conducted in CKD because of side effects (primarily hyperkalemia). Novel nonsteroidal MRAs reduce proteinuria and markers of HF, with lower risk of hyperkalemia and without renal impairment, in comparison to steroidal MRAs. Furthermore, recent clinical trials have demonstrated the efficacy of the novel, selective, nonsteroidal MRA finerenone to delay progression of kidney and cardiovascular disease, including HF, in patients with CKD and type 2 diabetes. Concomitantly, the safety profile of finerenone is good, with few patients discontinuing treatment because of hyperkalemia, even among study participants with a low estimated glomerular filtration rate (>25 ml/min per 1.73 m

Indexed as

chronic kidney diseasefinerenonemineralocorticoid receptormineralocorticoid receptor antagonisttype 2 diabetes

Identifiers

PMID35529090
PMCPMC9073226
OpenAlexW4220727629

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.