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Metaanálisis2022

Coffee and Caffeine Consumption and Risk of Kidney Stones: A Mendelian Randomization Study

Yuan S, Larsson SC

American journal of kidney diseases : the official journal of the National Kidney Foundation · 87 citas

Cómo se estudió

Diseño
Metaanálisis (indexado por PubMed)
Estudiado en
Personas
Resultado principal
Eventos clínicos como enfermedad o muerte

Quién lo pagó

Financiación
Financiación independiente
Gobierno
Vetenskapsrådet
Gobierno
Forskningsrådet om Hälsa, Arbetsliv och Välfärd
Subvenciones
Vetenskapsrådet (2019-00977); Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2018-00123)

Según 2 financiadores declarados.

Publicación

Publicado
2021-10-21 · Am J Kidney Dis · vol. 79 · número 1 · págs. 9–14.e1
Editorial
Elsevier BV
Citado
111 citas · más que el 99% de estudios similares · 11.4× el promedio de su campo
Impacto
Entre el 10 % más citado de su campo
Referencias
35 trabajos
Acceso
Acceso abierto (revista híbrida) · CC-BY
Áreas de investigación
Kidney Stones and Urolithiasis Treatments · Coffee research and impacts · Chronic Kidney Disease and Diabetes
Palabras clave
Mendelian randomization, Medicine, Caffeine, Kidney stones, Observational study, Odds ratio, Randomization, Internal medicine, Randomized controlled trial, Genetics, Biology, Genetic variants, Gene, Genotype
MeSH
humans, kidney calculi, caffeine, risk factors, coffee, genome-wide association study, mendelian randomization analysis

2 autores

  • Shuai Yuan🇸🇪Karolinska Institutet
  • Susanna C. Larsson🇸🇪 · autor de correspondenciaUppsala University; Karolinska Institutet

Resumen

El texto original del estudio, en el idioma en que se publicó.

Rationale & objective

Coffee and caffeine consumption have been associated with a lower risk of kidney stones in observational studies. We conducted a Mendelian randomization study to assess the causal nature of these associations.

Study design

Mendelian randomization analysis.

Setting & participants

Independent genetic variants associated with coffee and caffeine consumption at the genome-wide significance level were selected from previously published meta-analyses as instrumental variables. Summary-level data for kidney stones were obtained from the UK Biobank study (6,536 cases and 388,508 noncases) and the FinnGen consortium (3,856 cases and 172,757 noncases).

Exposure

Genetically predicted coffee and caffeine consumption.

Outcome

Clinically diagnosed kidney stones.

Analytical approach

Mendelian randomization methods were used to calculate causal estimates. Estimates from the 2 sources were combined using the fixed-effects meta-analysis methods.

Results

Genetically predicted coffee and caffeine consumption was associated with a lower risk of kidney stones in the UK Biobank study, and the associations were directionally similar in the FinnGen consortium. The combined odds ratio of kidney stones was 0.60 (95% CI, 0.46-0.79; P < 0.001) per a genetically predicted 50% increase in coffee consumption and 0.81 (95% CI, 0.69-0.94; P = 0.005) per a genetically predicted 80-mg increase in caffeine consumption.

Limitations

Genetic influence on kidney stone risk via pathways not involving coffee or caffeine.

Conclusions

Using genetic data, this study provides evidence that higher coffee and caffeine consumption may cause a reduction in kidney stones.

Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).

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