Evidence map›Paper›PMID 38958839›Full record

ArticleAdvances in therapy2024

Clinical Outcomes in Patients with CKD and Rapid or Non-rapid eGFR Decline: A Report from the DISCOVER CKD Retrospective Cohort.

Hiddo Heerspink, Stephen Nolan, Juan-Jesus Carrero, Matthew Arnold, Roberto Pecoits-Filho, Juan José García Sánchez, Eric Wittbrodt, Claudia Cabrera, Carolyn S P Lam, Hungta Chen and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Advances in therapy, 2024. 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

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

13 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
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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

14 authors.

Hiddo HeerspinkDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands. h.j.lambers.heerspink@umcg.nl.
Stephen NolanGlobal Medical Affairs, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Matthew ArnoldReal World Data Science, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Roberto Pecoits-FilhoSchool of Medicine, Pontifical Catholic University of Parana, Curitiba, Brazil.
Juan José García SánchezGlobal Market Access and Pricing, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Eric WittbrodtCardiovascular, Renal, Metabolism Epidemiology, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, MD, USA.
Claudia CabreraReal World Science and Analytics, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.
Carolyn S P LamDepartment of Cardiology, National Heart Centre, Singapore, Singapore.
Hungta ChenMedical and Payer Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, MD, USA.
Eiichiro KandaKawasaki Medical School, Kurashiki, Japan.
Mitja LainscakDivision of Cardiology, General Hospital Murska Sobota, Murska Sobota, Slovenia.
Carol PollockKolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, NSW, 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

introductionThis analysis examined the baseline characteristics and clinical outcomes of patients with chronic kidney disease (CKD) and rapid or non-rapid estimated glomerular filtration rate (eGFR) decline, using retrospective data from DISCOVER CKD (ClinicalTrials.gov, NCT04034992).

methodsData (2008-2020) were extracted from UK Clinical Practice Research Datalink, US TriNetX, US Limited Claims and Electronic Health Record Dataset, and Japan Medical Data Vision. Patients with CKD (two consecutive eGFR measures < 75 mL/min/1.73 m

resultsAcross databases, rapid eGFR decline occurred in 13.7% of 804,237 eligible patients. Mean annual eGFR decline ranged between - 6.21 and - 6.86 mL/min/1.73 m

conclusionUnderstanding patient factors associated with rapid eGFR decline in patients with CKD may help identify individuals who would benefit from proactive management to minimize the risk of adverse outcomes.

trial registrationClinicalTrials.gov identifier, NCT04034992.

Indexed as

Disease ProgressionGlomerular Filtration RateRenal Insufficiency, ChronicAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesChronic kidney diseaseClinical outcomesDISCOVER CKDeGFRRapid decline

Identifiers

PMID38958839
PMCPMC11263227

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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.