Evidence map›Paper›PMID 32183352›Full record

ReviewToxins2020

Cardiovascular Calcification in Chronic Kidney Disease-Therapeutic Opportunities.

Anika Himmelsbach, Carina Ciliox, Claudia Goettsch

Abstract readReview
In one paragraph

Review in Toxins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Observational
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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

3 authors.

Anika HimmelsbachDepartment of Internal Medicine I, Cardiology, Medical Faculty, RWTH, Aachen University, 52074 Aachen, Germany.
Carina CilioxDepartment of Internal Medicine I, Cardiology, Medical Faculty, RWTH, Aachen University, 52074 Aachen, Germany.
Claudia GoettschDepartment of Internal Medicine I, Cardiology, Medical Faculty, RWTH, Aachen University, 52074 Aachen, Germany.ORCID 0000-0002-7973-1329

Funding

Deutsche Forschungsgemeinschaft GO1801/5-1 and SFB/TRR219 C02
6 · The paper itself

Abstract

Patients with chronic kidney disease (CKD) are highly susceptible to cardiovascular (CV) complications, thus suffering from clinical manifestations such as heart failure and stroke. CV calcification greatly contributes to the increased CV risk in CKD patients. However, no clinically viable therapies towards treatment and prevention of CV calcification or early biomarkers have been approved to date, which is largely attributed to the asymptomatic progression of calcification and the dearth of high-resolution imaging techniques to detect early calcification prior to the 'point of no return'. Clearly, new intervention and management strategies are essential to reduce CV risk factors in CKD patients. In experimental rodent models, novel promising therapeutic interventions demonstrate decreased CKD-induced calcification and prevent CV complications. Potential diagnostic markers such as the serum T50 assay, which demonstrates an association of serum calcification propensity with all-cause mortality and CV death in CKD patients, have been developed. This review provides an overview of the latest observations and evaluates the potential of these new interventions in relation to CV calcification in CKD patients. To this end, potential therapeutics have been analyzed, and their properties compared via experimental rodent models, human clinical trials, and meta-analyses.

Indexed as

AnimalsBiomarkersCalcinosisCardiomyopathiesDisease Models, AnimalHumansRenal DialysisRenal Insufficiency, ChronicRisk FactorsBiomarkerscardiovascular diseasechronic kidney diseaseexperimental rodent modelsvascular calcification

Identifiers

PMID32183352
PMCPMC7150985

What Socratic holds

Textmetadata
LicenceCC BY
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.