Evidence map›Paper›PMID 39728054›Full record

ReviewJournal of personalized medicine2024

Personalized Antifibrotic Therapy in CKD Progression.

Charlotte Delrue, Michele F Eisenga, Joris R Delanghe, Marijn M Speeckaert

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
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

4 authors.

Charlotte DelrueDepartment of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.
Michele F EisengaDivision of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9712 CP Groningen, The Netherlands.ORCID 0000-0002-2484-6233
Joris R DelangheDepartment of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-5702-6792
Marijn M SpeeckaertDepartment of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0001-9183-4390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a chronic disorder characterized by kidney fibrosis and extracellular matrix accumulation that can lead to end-stage kidney disease. Epithelial-to-mesenchymal transition, inflammatory cytokines, the TGF-β pathway, Wnt/β-catenin signaling, the Notch pathway, and the NF-κB pathway all play crucial roles in the progression of fibrosis. Current medications, such as renin-angiotensin-aldosterone system inhibitors, try to delay disease development but do not stop or reverse fibrosis. This review emphasizes the growing need for tailored antifibrotic medications for CKD treatment. Precision medicine, which combines proteomic, metabolomic, and genetic data, provides a practical way to personalize treatment regimens. Proteomic signatures, such as CKD273, and genetic markers, such as

Indexed as

antifibrotic therapybiomarkerschronic kidney diseasekidney fibrosisprecisions medicine

Identifiers

PMID39728054
PMCPMC11678888

What OpenQuestion holds

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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.