Evidence map›Paper›PMID 40914744›Full record

SynthesisBritish journal of cancer2025

Chronic kidney disease and incident cancer risk: an individual participant data meta-analysis.

Yejin Mok, Aditya Surapaneni, Yingying Sang, Josef Coresh, Morgan E Grams, Kunihiro Matsushita, Shoshana H Ballew, Natalia Alencar de Pinho, Johan Ärnlöv, Sandhi M Barreto and 25 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

35 authors.

Yejin MokDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Welch Center for Prevention, Epidemiologyand Clinical Research, Baltimore, MD, USA.
Aditya SurapaneniDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Yingying SangOptimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA.
Josef CoreshOptimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA.
Morgan E GramsDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Welch Center for Prevention, Epidemiologyand Clinical Research, Baltimore, MD, USA.
Shoshana H BallewOptimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA. Shoshana.Ballew@nyulangone.org.ORCID http://orcid.org/0000-0002-7547-3764
Natalia Alencar de PinhoCentre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France.
Johan ÄrnlövDepartment of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.
Sandhi M BarretoDepartment of Preventive Medicine, School of Medicine and Hospital das Clínicas/Empresa Brasileira de Serviços Hospitalares and Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Samira BellDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.ORCID http://orcid.org/0000-0001-9100-1575
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, and Network Aging Research, Heidelberg University, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6129-1572
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden.ORCID http://orcid.org/0000-0003-4763-2024
Rajkumar ChinnaduraiDepartment of Renal Medicine, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK.
Elizabeth CieminsAMGA (American Medical Group Association), Alexandria, VA, USA.
Ron T GansevoortDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Simerjot K JassalUniversity of California San Diego, La Jolla, CA, USA.
Keum Ji JungInstitute for Health Promotion, Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4993-0666
H Lester KirchnerDepartment of Population Health Sciences, Research Institute, Geisinger, Danville, PA, USA.
Tsuneo KontaDepartment of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan.
Csaba P KovesdyMedicine-Nephrology, Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-8204-911X
Li LuoDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID http://orcid.org/0000-0001-7855-4669
Krutika PanditDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Mahboob RahmanDivision of Nephrology and Hypertension, University Hospitals Cleveland Medical Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Case Western Reserve University, Cleveland, OH, USA.
Cassianne Robinson-CohenDivision of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Charumathi SabanayagamSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.ORCID http://orcid.org/0000-0002-4042-4719
Ulla T SchultheissInstitute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-7541-5310
Michael ShlipakKidney Health Research Collaborative, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Natalie StaplinRenal Studies Group, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Marcello TonelliDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
Angela Yee-Moon WangDepartment of Renal Medicine, Singapore General Hospital, Duke-National University of Singapore, Singapore, Singapore.
Chi-Pang WenInstitute of Population Health Science, National Health Research Institutes/China Medical University Hospital, Zhunan, Taiwan.ORCID http://orcid.org/0000-0001-7896-2558
Mark WoodwardThe George Institute for Global Health, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0001-9800-5296
Jennifer S LeesSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0001-6331-0178
CKD Prognosis Consortium

Funding

Chronic Kidney Disease Prognosis Consortium (CKD-PC)R01DK100446 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, Morgan Erika Grams · 2014 to 2026
$10.7M
NIDDK NIH HHS R01 DK100446U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) R01DK100446Wellcome TrustWellcome Trust (Wellcome) 301005/Z/23/Z
6 · The paper itself

Abstract

backgroundStudies examining the association of chronic kidney disease (CKD) with cancer risk have demonstrated conflicting results.

methodsThis was an individual participant data meta-analysis including 54 international cohorts contributing to the CKD Prognosis Consortium. Included cohorts had data on albuminuria [urine albumin-to-creatinine ratio (ACR)], estimated glomerular filtration rate (eGFR), overall and site-specific cancer incidence, and established risk factors for cancer. Included participants were aged 18 years or older, without previous cancer or kidney failure.

resultsAmong 1,319,308 individuals, the incidence rate of overall cancer was 17.3 per 1000 person-years. Higher ACR was positively associated with cancer risk [adjusted hazard ratio 1.08 (95% CI 1.06-1.10) per 8-fold increase in ACR]. No association of eGFR with overall cancer risk was seen. For site-specific cancers, lower eGFR was associated with urological cancer and multiple myeloma, whereas higher ACR was associated with many cancer types (kidney, head/neck, colorectal, liver, pancreas, bile duct, stomach, larynx, lung, hemolymphatic, leukaemia, and multiple myeloma). Results were similar in a 1-year landmark analysis. DISCUSSION: Albuminuria, but not necessarily eGFR, was independently associated with the subsequent risk of cancer. Our results warrant an investigation into mechanisms that explain the link between albuminuria and cancer.

Indexed as

NeoplasmsRenal Insufficiency, ChronicAdultAgedAlbuminuriaCreatinineFemaleGlomerular Filtration RateHumansIncidenceMaleMiddle AgedRisk FactorsCreatinine

Identifiers

PMID40914744
PMCPMC12603274

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.