Evidence map›Paper›PMID 36090504›Full record

ArticleKidney international reports2022

Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility.

Glen James, Juan Jose Garcia Sanchez, Juan Jesus Carrero, Supriya Kumar, Roberto Pecoits-Filho, Hiddo J L Heerspink, Stephen Nolan, Carolyn S P Lam, Hungta Chen, Eiichiro Kanda and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in Kidney international reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04034992 (An Observational Study Collecting Real-world Data on Patients With Chronic Kidney Disease to Assess), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

NCT04034992 completednot on this map

An Observational Study Collecting Real-world Data on Patients With Chronic Kidney Disease to Assess: Early Treatment Experience, Treatment Patterns, Treatment Effectiveness, Patient Outcomes and Patient Quality of Life Through Prospective and Retrospective Data Capture

TypeobservationalSponsorAstraZenecaRan2019 to 2023Enrolled1,052ConditionsChronic Kidney Disease
3 · Its place in the literature

Who cites it

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

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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

16 authors.

Glen JamesGlobal Medical Affairs, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Juan Jose Garcia SanchezGlobal Market Access and Pricing, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Juan Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Supriya KumarReal World Data Science, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, Maryland, USA.
Roberto Pecoits-FilhoSchool of Medicine, Pontifical Catholic University of Parana, Curitiba, Brazil.
Hiddo J L HeerspinkDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, Groningen, Netherlands.
Stephen NolanGlobal Medical Affairs, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Carolyn S P LamDepartment of Cardiology, National Heart Center, Singapore.
Hungta ChenMedical and Payer Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, Maryland, USA.
Eiichiro KandaKawasaki Medical School, Kurashiki, Japan.
Naoki KashiharaKawasaki Medical School, Kurashiki, Japan.
Matthew ArnoldReal World Data Science, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Mikhail N KosiborodSaint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, Missouri, USA.
Mitja LainscakDivision of Cardiology, General Hospital Murska Sobota, Murska Sobota, Slovenia.
Carol PollockKolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, New South Wales, Australia.
David C WheelerDepartment of Renal Medicine, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney Disease: Improving Global Outcomes (KDIGO) 2012 guidelines classify chronic kidney disease (CKD) risk or prognosis using estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR). We assessed patient characteristics and outcomes according to the KDIGO classification, using data from DISCOVER CKD (NCT04034992). Methods: Data were extracted from the US integrated Limited Claims and Electronic Health Record Dataset and TriNetX databases, and the UK Clinical Practice Research Datalink linked to Hospital Episode Statistics and Office for National Statistics databases. Eligible patients were aged ≥18 years with CKD, and identified by 2 consecutive eGFR measures (5 to <75 ml/min/1.73 m Results: Across databases, only 8.6% of patients with 2 eGFR measures had ≥1 UACR measures. Among 123,807 eligible patients, prevalence of heart failure, hypertension, and type 2 diabetes increased with increasing albuminuria. Incidence rates of mortality and adverse cardiovascular and renal outcomes increased with declining baseline eGFR, and particularly with increasing albuminuria. Median number of eGFR and UACR tests per year post-index ranged from 1.6 to 2.5 and 0.5 to 0.6, respectively, across databases; there was no clear increase in UACR testing frequency following the KDIGO 2012 guidelines. Conclusion: Albuminuria monitoring is critical for optimal risk stratification in CKD, and our findings highlight an imperative for more regular UACR testing in clinical practice.

Indexed as

chronic kidney diseaseDISCOVER CKDestimated glomerular filtration rateKidney Disease: Improving Global Outcomesretrospectiveurinary albumin-to-creatinine ratio

Identifiers

PMID36090504
PMCPMC9458998

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Registered trials

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.