Evidence map›Paper›PMID 31085062›Full record

ArticleEuropean urology focus2020

Fluid Intake and Dietary Factors and the Risk of Incident Kidney Stones in UK Biobank: A Population-based Prospective Cohort Study.

Thomas J Littlejohns, Naomi L Neal, Kathryn E Bradbury, Hendrik Heers, Naomi E Allen, Ben W Turney

Open access · hybridAbstract read
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In one paragraph

Article in European urology focus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 9 pooled it
8.4field-weighted citation impact, top 2% of its field
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

74 citing papers in PubMed, 9 syntheses or guidelines pooled it, 133 citations in OpenAlex.

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  9. Guideline
  10. Machine Learning Approaches to Predict 24-Hour Urine Collection Results Based on Self-Reported Beverage Intake.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Thomas J LittlejohnsClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. Electronic address: Thomas.littlejohns@ndph.ox.ac.uk.
Naomi L NealOxford Stone Group, Oxford University Hospitals NHS Trust, Oxford, UK. Electronic address: naomi.neal@ouh.nhs.uk.
Kathryn E BradburyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; National Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Hendrik HeersDepartment of Urology and Paediatric Urology, Philipps-Universität Marburg, Marburg, Germany.
Naomi E AllenClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Ben W TurneyOxford Stone Group, Oxford University Hospitals NHS Trust, Oxford, UK.
Oxford University Hospitals NHS Trust · GBUniversity of Oxford · GBPhilipps University of Marburg · DEUniversity of Auckland · NZ

Funding

British Heart FoundationDepartment of Health [UK]Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

backgroundFluid intake and diet are thought to influence kidney stone risk. However, prospective studies have been limited to small samples sizes and/or restricted measures.

objectiveTo investigate whether fluid intake and dietary factors are associated with the risk of developing a first kidney stone. DESIGN, SETTING, AND

participantsParticipants were selected from UK Biobank, a population-based prospective cohort study. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Cox proportional hazards models were used to investigate the association between fluid intake and dietary factors and the risk of a first incident kidney stone, ascertained from hospital inpatient records. RESULTS AND LIMITATIONS: After exclusion, 439 072 participants were available for the analysis, of whom 2057 had hospital admission with an incident kidney stone over a mean of 6.1 yr of follow-up. For every additional drink (200 ml) consumed per day of total fluid, the risk of kidney stones declined by 13% (hazard ratio [HR] = 0.87, 95% confidence interval [CI] 0.85-0.89). Similar patterns of associations were observed for tea, coffee, and alcohol, although no association was observed for water intake. Fruit and fibre intake was also associated with a lower risk (HR per 100 g increase of fruits per day = 0.88, 95% CI 0.83-0.93, and HR per 10 g fibre per day = 0.82, 95% CI 0.77-0.87), whereas meat and salt intake was associated with a higher risk (HR per 50 g increase in meat per week = 1.17, 95% CI 1.05-1.29, and HR for always vs never/rarely added salt to food = 1.33, 95% CI 1.12-1.58). Vegetable, fish, and cheese intake was not associated with kidney stone risk.

conclusionsThe finding that high intake of total fluid, fruit, and fibre was associated with a lower risk of hospitalisation for a first kidney stone suggests that modifiable dietary factors could be targeted to prevent kidney stone development. PATIENT SUMMARY: We found that higher intake of total fluid, specifically tea, coffee, and alcohol (but not water), and consumption of fruit and foods high in fibre are linked with a reduced likelihood of developing kidney stones.

Indexed as

DietDrinking BehaviorBiological Specimen BanksCohort StudiesFemaleHumansKidney CalculiMaleMiddle AgedProspective StudiesRisk AssessmentUnited KingdomDietFluidKidney stonesLongitudinalUK Biobank

Identifiers

PMID31085062
OpenAlexW2944296888

What OpenQuestion 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 OpenQuestion graph.