Evidence mapPaperPMID 41491877Full record

ReviewNature reviews. Nephrology2026

Multifactorial chronic kidney disease and the kidney capacity-workload balance.

Paola Romagnani, Juliana C N Chan, Hans-Joachim Anders

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

3 authors.

Paola RomagnaniNephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy.ORCID http://orcid.org/0000-0002-1774-8088
Juliana C N ChanDepartment of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences and Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong.ORCID http://orcid.org/0000-0003-1325-1194
Hans-Joachim AndersDivision of Nephrology, Department of Medicine IV, Hospital of the Ludwig-Maximilians University, Munich, Germany. hjanders@med.uni-muenchen.de.ORCID http://orcid.org/0000-0003-2434-2956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is defined by the presence of kidney abnormalities with an impact on health that lasts more than 3 months. Cross-sectional population data suggest that ~10% of the world population might be affected. CKD is often classified by aetiology, under the assumption that a single cause drives disease, and identifying the single cause that drives kidney disease in a patient is a key nephrology expertise taught at medical schools. Here, we explore the concept that, throughout the life-course, the kidneys are exposed to numerous insults and risk factors that can trigger CKD development and reduce kidney lifespan. Although a single cause might be dominant in some individuals, CKD frequently results from exposure to several serial insults or multiple concomitant factors; hence, CKD is typically multifactorial. The concept of multifactorial CKD not only better matches the clinical reality but also has numerous clinical implications, including for diagnostic work-up and kidney-disease nomenclature, as well as therapeutic choices (for example, the choice between cause-directed therapies versus lifestyle changes and CKD combination therapies). In addition, the risk factor-based concept of multifactorial CKD provides a strong rationale for risk factor control to maintain kidney health.

Indexed as

KidneyRenal Insufficiency, ChronicHumansRisk Factors

Identifiers

PMID41491877

What Socratic holds

Textmetadata
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 Socratic graph.