Evidence map›Paper›PMID 33102957›Full record

ArticleKidney international reports2020

Impact of CKD Progression on Cardiovascular Disease Risk in a Contemporary UK Cohort of Individuals With Diabetes.

Claudia S Cabrera, Alison S Lee, Marita Olsson, Volker Schnecke, Klara Westman, Marcus Lind, Peter J Greasley, Stanko Skrtic

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.0field-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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

Claudia S CabreraReal World Science and Digital, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.
Alison S LeeCommonwealth Informatics, Inc., Waltham, Massachusetts, USA.
Marita OlssonAstraZeneca, Gothenburg, Sweden.
Volker SchneckeNovo Nordisk, Søborg, Denmark.
Klara WestmanInstitute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Marcus LindInstitute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Peter J GreasleyAstraZeneca, Gothenburg, Sweden.
Stanko SkrticInnovation Strategies and External Liaison, Pharmaceutical Technology and Development, AstraZeneca Gothenburg, Gothenburg, Sweden.
AstraZeneca (Sweden) · SEChalmers University of Technology · SEKarolinska Institutet · SENovo Nordisk (Denmark) · DKNU Hospital Group · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIt remains unclear whether an increased progression rate of chronic kidney disease (CKD) adds predictive information regarding cardiovascular disease (CVD) risk. The aim of this study was to evaluate the association between CKD progression, based on estimated glomerular filtration rate (eGFR) slope estimates and the risk for CVD.

methodsWe compared the updated eGFR slope calculated over multiple overlapping 2-year periods and the updated mean eGFR. Incident CKD subjects were selected from a prevalent population with diabetes (T2DM). Subjects from the UK Clinical Practice Research Data Link GOLD (CPRD) were followed from CKD diagnosis (

resultsBoth the updated eGFR slope and updated mean eGFR were associated with MACE plus and HF. Updated eGFR slope decline of > -3 ml/min/1.73 m

conclusionsThis study strongly supports current evidence that CKD is an independent risk factor for CVD. From a clinical perspective, both rate of progression and cumulative status of CKD describe distinct aspects of the cardiorenal risk among persons with diabetes. This evidence is essential to enable more timely and improved use of treatments in this population.

Indexed as

chronic kidney diseasediabetesepidemiologyheart diseasehypertensionstatistical

Identifiers

PMID33102957
PMCPMC7569691
OpenAlexW3048020388

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.