Evidence map›Paper›PMID 37280026›Full record

ArticleBMJ open2023

Rationale and design of a prospective, clinical study of kidney biopsies in people with type 2 diabetes and severely increased albuminuria (the PRIMETIME 2 study).

Marie Møller, Rikke Borg, Iain Bressendorff, Lisbeth N Fink, Eva Gravesen, Karina Haar Jensen, Torben Hansen, Dorrit Krustrup, Frederik Persson, Peter Rossing and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04916132 (Biopsy-proven Diabetic Nephropathy in People With Type 2 Diabetes. Prevalence and Predictive Factors), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 48% 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.

NCT04916132 recruitingnot on this map

Biopsy-proven Diabetic Nephropathy in People With Type 2 Diabetes. Prevalence and Predictive Factors

TypeobservationalSponsorHerlev HospitalRan2021 to 2043Enrolled300ConditionsChronic Kidney Diseases, Albuminuria, Diabetic Kidney Disease, Diabetic NephropathiesArmsKidney Biopsy
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 4 institutions in 1 country.

Marie MøllerDepartment of Nephrology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark marie.moeller@regionh.dk.ORCID 0000-0002-1248-1740
Rikke BorgDepartment of Medicine, Zealand University Hospital, Roskilde, Denmark.
Iain BressendorffDepartment of Nephrology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
Lisbeth N FinkGubra ApS, Hørsholm, Denmark.
Eva GravesenDepartment of Pathology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
Karina Haar JensenDepartment of Medicine, Zealand University Hospital, Roskilde, Denmark.
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Dorrit KrustrupDepartment of Pathology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
Frederik PerssonSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID 0000-0001-6242-6638
Peter RossingDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Frederikke E SembachGubra ApS, Hørsholm, Denmark.
Anne C B ThuesenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Ditte HansenDepartment of Nephrology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
University of Copenhagen · DKGentofte Hospital · DKGubra (Denmark) · DKSteno Diabetes Centers · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetic kidney disease is a severe complication of diabetes. The diagnosis is based on clinical characteristics such as persistently elevated albuminuria, hypertension and decline in kidney function, although this definition is not specific to kidney disease caused by diabetes. The only way to establish an accurate diagnosis-diabetic nephropathy-is by performing a kidney biopsy. The histological presentation of diabetic nephropathy can be associated with a heterogeneous range of histological features with many pathophysiological factors involved demonstrating the complexity of the condition. Current treatment strategies aim to slow disease progression and are not specific to the underlying pathological processes.This study will investigate the prevalence of diabetic nephropathy in individuals with type 2 diabetes (T2D) and severely elevated albuminuria. The deep molecular characterisation of the kidney biopsy and biological specimens may pave the way for improved diagnostic accuracy and a better understanding of the pathological processes involved and may also reveal new targets for individualised treatment. METHODS AND ANALYSIS: In the PRecIsion MEdicine based on kidney TIssue Molecular interrogation in diabetic nEphropathy 2 study, research kidney biopsies will be performed in 300 participants with T2D, urine albumin/creatinine ratio ≥700 mg/g and estimated glomerular filtration ratio >30 mL/min/1.73 m ETHICS AND DISSEMINATION: The Danish Regional Committee on Health Research Ethics and the Knowledge Center on Data Protection (in the Capital Region of Denmark) have granted approval for the study. The results will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT04916132.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesAlbuminuriaBiopsyGlomerular Filtration RateHumansKidneyProspective StudiesDIABETES & ENDOCRINOLOGYDiabetic nephropathy & vascular diseaseNEPHROLOGY

Identifiers

PMID37280026
PMCPMC10254618
OpenAlexW4379600558

What OpenQuestion holds

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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.