Evidence map›Paper›PMID 38542491›Full record

ReviewInternational journal of molecular sciences2024

Non-Invasive Biomarkers for Diagnosis, Risk Prediction, and Therapy Guidance of Glomerular Kidney Diseases: A Comprehensive Review.

Lorenzo Catanese, Harald Rupprecht, Tobias B Huber, Maja T Lindenmeyer, Felicitas E Hengel, Kerstin Amann, Ralph Wendt, Justyna Siwy, Harald Mischak, Joachim Beige

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 11 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

10 authors at 4 institutions in 1 country.

Lorenzo CataneseDepartment of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95445 Bayreuth, Germany.ORCID 0000-0002-9933-8364
Harald RupprechtDepartment of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95445 Bayreuth, Germany.
Tobias B HuberIII Department of Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Maja T LindenmeyerIII Department of Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Felicitas E HengelIII Department of Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
Kerstin AmannDepartment of Nephropathology, Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany.
Ralph WendtDivision of Nephrology, St. Georg Hospital, 04129 Leipzig, Germany.ORCID 0000-0003-1600-6581
Justyna SiwyMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0003-1407-2534
Harald MischakMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0003-0323-0306
Joachim BeigeDivision of Nephrology, St. Georg Hospital, 04129 Leipzig, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversität Hamburg · DEKlinikum St. Georg · DEMosaiques Diagnostics and Therapeutics (Germany) · DE

Funding

Federal Ministry of Education and Research 01EK2105Federal Ministry of Education and Research 01KU2305
6 · The paper itself

Abstract

Effective management of glomerular kidney disease, one of the main categories of chronic kidney disease (CKD), requires accurate diagnosis, prognosis of progression, assessment of therapeutic efficacy, and, ideally, prediction of drug response. Multiple biomarkers and algorithms for the assessment of specific aspects of glomerular diseases have been reported in the literature. Though, the vast majority of these have not been implemented in clinical practice or are not available on a global scale due to limited access, missing medical infrastructure, or economical as well as political reasons. The aim of this review is to compile all currently available information on the diagnostic, prognostic, and predictive biomarkers currently available for the management of glomerular diseases, and provide guidance on the application of these biomarkers. As a result of the compiled evidence for the different biomarkers available, we present a decision tree for a non-invasive, biomarker-guided diagnostic path. The data currently available demonstrate that for the large majority of patients with glomerular diseases, valid biomarkers are available. However, despite the obvious disadvantages of kidney biopsy, being invasive and not applicable for monitoring, especially in the context of rare CKD etiologies, kidney biopsy still cannot be replaced by non-invasive strategies.

Indexed as

KidneyRenal Insufficiency, ChronicBiomarkersDisease ProgressionGlomerular Filtration RateHumansKidney GlomerulusBiomarkersbiomarkerCKDdiagnosisglomerular diseaseskidney diseaseprognosisrisk prediction

Identifiers

PMID38542491
PMCPMC10970781
OpenAlexW4392984061

What OpenQuestion 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 OpenQuestion graph.