Evidence map›Paper›PMID 38046028›Full record

ArticleClinical kidney journal2023

Albuminuria and the risk of cancer: the Stockholm CREAtinine Measurements (SCREAM) project.

Li Luo, Yuanhang Yang, Lyanne M Kieneker, Roemer J Janse, Alessandro Bosi, Faizan Mazhar, Rudolf A de Boer, Geertruida H de Bock, Ron T Gansevoort, Juan-Jesus Carrero

Abstract read
In one paragraph

Article in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Plasma proteome fingerprint in kidney diseases.Frontiers in molecular biosciences · 2024
    Article
  7. Article
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.

Li LuoDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-7855-4669
Yuanhang YangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Lyanne M KienekerDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Roemer J JanseDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-0059-872X
Alessandro BosiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Faizan MazharDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Rudolf A de BoerDepartment of Cardiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Geertruida H de BockDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Ron T GansevoortDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0002-3223-0906
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4763-2024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies investigating the association of chronic kidney disease and cancer have focused on estimated glomerular filtration (eGFR) rather than on albuminuria. This study aimed to examine whether albuminuria is associated with cancer incidence, and whether this association is independent of eGFR. Methods: We included subjects of the Stockholm Creatinine Measurements (SCREAM) project without a history of cancer-250 768 subjects with at least one urine albumin-creatinine ratio (ACR) test (primary cohort) and 433 850 subjects with at least one dipstick albuminuria test (secondary cohort). Albuminuria was quantified as KDIGO albuminuria stages. The primary outcome was overall cancer incidence. Secondary outcomes were site-specific cancer incidence rates. Multivariable Cox proportional hazards regression models adjusted for confounders including eGFR to calculate hazard ratios and 95% confidence intervals (HRs, 95% CIs). Results: During a median follow-up of 4.3 (interquartile range 2.0-8.2) years, 21 901 subjects of the ACR cohort developed Conclusions: Albuminuria was associated with the risk of cancer independent of eGFR. This association was primarily driven by a higher risk of urinary tract, gastrointestinal tract, lung and hematological cancers.

Indexed as

albuminuriacancerchronic kidney diseasecohort studySCREAM

Identifiers

PMID38046028
PMCPMC10689191

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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.