Evidence map›Paper›PMID 41849086›Full record

ArticleEuropean journal of epidemiology2026

Dietary patterns and risk of incident chronic kidney disease: a prospective cohort study.

Barbieri Giulia, Sjöblom Linnea, Swartling Oskar, Bellocco Rino, Trolle Lagerros Ylva, Adami Hans-Olov, Zanolin Elisabetta, Cazzoletti Lucia, Pattaro Cristian, Bonn Stephanie Erika and 1 more

Abstract read
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Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Barbieri Giulia *Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy. giulia.barbieri@univr.it.ORCID http://orcid.org/0000-0002-3531-0725
Sjöblom Linnea *Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-1740-6675
Swartling OskarDivision of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3783-1567
Bellocco RinoDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.ORCID http://orcid.org/0000-0002-2538-0287
Trolle Lagerros YlvaDepartment of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6816-7577
Adami Hans-OlovDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9592-5791
Zanolin ElisabettaUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.ORCID http://orcid.org/0000-0003-3021-2269
Cazzoletti LuciaUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.ORCID http://orcid.org/0000-0002-1429-6282
Pattaro CristianInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID http://orcid.org/0000-0002-4119-0109
Bonn Stephanie Erika *Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden. stephanie.bonn@ki.se.ORCID http://orcid.org/0000-0002-2219-7970
Hantikainen Essi *Institute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy. EssiMarjatta.Hantikainen@eurac.edu.ORCID http://orcid.org/0000-0002-4155-2894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet likely plays a crucial role in the aetiology of chronic kidney disease (CKD), a growing global health problem. We prospectively examined sex-specific associations between different dietary patterns and CKD. Among 27,126 adults (66.5% females) followed from 1997 to 2016, baseline dietary intake was assessed using a semi-quantitative food frequency questionnaire. We estimated the Dietary Approaches to Stop Hypertension (DASH) and the Nordic Nutrition Recommendations (NNR) scores, and derived three dietary patterns via reduced rank regression using protein, phosphorus, potassium, and sodium as mediators: DP1 (high levels of all nutrients), DP2 (high potassium and phosphorus, low sodium), and DP3 (low potassium and sodium, high phosphorus). Sex-stratified multivariable Cox models were used to evaluate linear, non-linear, and categorical associations with CKD incidence, with categorical exposure defined by tertiles of adherence (low, medium, high). During a 17.9-year mean follow-up, we identified 687 incident cases of CKD. In males, DP1 showed a U-shaped association with CKD risk (HRlow/medium = 1.41; 95%CI: 1.06, 1.89, HRhigh/medium = 1.39; 95%CI:1.05, 1.85). DP3 was associated with higher CKD risk in females (HRlinear = 1.12; 95%CI: 1.01, 1.25). The NNR was associated with lower CKD risk in both females (HRlinear = 0.90, 95% CI: 0.81–1.00; HRmedium/low = 0.77, 95% CI: 0.61–0.99) and males (HRlinear = 0.86; 95%CI: 0.77, 0.97), while the DASH was associated with lower CKD risk in females only (HRlinear = 0.86; 95%CI: 0.78, 0.96, HRhigh/low = 0.70; 95%CI: 0.54, 0.91). Higher adherence to the NNR reduced CKD risk in both sexes, whereas sex-specific associations were observed between the DASH diet, CKD-oriented dietary patterns, and CKD risk.

Indexed as

Chronic kidney disease (CKD)Dash dietDietary patternsNordic dietReduced rank regression(RRR)Sex differences

Identifiers

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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.