Evidence map›Paper›PMID 40486956›Full record

ReviewChronic diseases and translational medicine2025

Contemporary Perspectives on Chronic Renal Disorders.

Deenadhayalan Ashok, Poornima Ajay Manjrekar, Bhushan C Shetty, Sujina S S, Rukmini Mysore Srikantiah, Sowndarya Kollampare

Erratum issuedAbstract readReview
In one paragraph

Review in Chronic diseases and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Deenadhayalan AshokDepartment of Biochemistry, Kasturba Medical College Mangalore Manipal Academy of Higher Education Manipal Karnataka India.
Poornima Ajay ManjrekarDepartment of Biochemistry, Kasturba Medical College Mangalore Manipal Academy of Higher Education Manipal Karnataka India.ORCID 0000-0003-1383-9641
Bhushan C ShettyDepartment of Nephrology, Kasturba Medical College Mangalore Manipal Academy of Higher Education Manipal Karnataka India.
Sujina S SDepartment of Biochemistry, Kasturba Medical College Mangalore Manipal Academy of Higher Education Manipal Karnataka India.
Rukmini Mysore SrikantiahDepartment of Biochemistry, Kasturba Medical College Mangalore Manipal Academy of Higher Education Manipal Karnataka India.
Sowndarya KollampareDepartment of Biochemistry, Kasturba Medical College Mangalore Manipal Academy of Higher Education Manipal Karnataka India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of renal diseases and its associated burden on healthcare have tremendously risen in the past few years. From simple markers assessing kidney function, current renal research delves into understanding the diseases at the cellular and molecular levels and not just at treating, but at improving quality of life, arresting progression and providing personalized diagnostics and therapy. This narrative review highlights the improvements in diagnostic applications of kidney disease and briefly discusses a few notable biomarkers emphasizing the high throughput omics technologies, as well as contemporary perspectives on renal research. A thorough literature search was performed on PubMed, Scopus, Web of Science, and Medline. Suitable Mesh terms were included for the search strategy, and relevant evidence was documented. Language models and pharmacognosy, along with other omics strategies, impose a better understanding of the renal disease, and the remarkable discoveries of noninvasive biomarkers, urine 273-peptide classifier, and urine peptides-based fibrosis classifier have unraveled the associations between mechanistic studies and novel therapeutic drugs. Strides in biomarker research have been able to delineate stages and types with superior specificity and sensitivity, thereby providing a better diagnosis. Renal research reflects a powerful, dynamic, and multifaceted field that drives better advancements and discoveries in personalized medicine, drug interventions, and patient-centered outcomes. Understanding the tangled relationship of the etiology of kidney disease, these developments and future research hold promise for individuals affected by kidney diseases.

Indexed as

language modelsomicspharmacogenesrecent advancesrenal researchSDG‐3: kidney disease progression

Identifiers

PMID40486956
PMCPMC12142703

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.