Red meat consumption and risk for dyslipidaemia and inflammation: A systematic review and meta-analysis
Sun L, Yuan JL, Chen QC, Xiao WK, Ma GP, Liang JH, Chen XK, Wang S, Zhou XX, Wu H, Hong CX
Frontiers in cardiovascular medicine · 27 citas
Etiquetas de revisión
Mezcla carne procesada con no procesadaDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Revisión sistemática (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
- Consumo medido con
- No se indica
Quién lo pagó
- Financiación
- Financiación independiente
Según la declaración de financiación del texto completo.
Publicación
- Publicado
- 2022-09-30 · Front Cardiovasc Med · vol. 9 · pág. 996467
- Editorial
- Frontiers Media
- Citado
- 33 citas · más que el 85% de estudios similares · 1.9× el promedio de su campo
- Referencias
- 81 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Meat and Animal Product Quality · Metabolomics and Mass Spectrometry Studies · Biochemical Analysis and Sensing Techniques
- Palabras clave
- Red meat, Triglyceride, Internal medicine, C-reactive protein, Blood lipids, Cholesterol, High-density lipoprotein, Medicine, Lipid profile, Meta-analysis, Gastroenterology, Lipoprotein, Food science, Inflammation, Chemistry
11 autores
- Le Sun🇨🇳Guangzhou University of Chinese Medicine
- Jialin Yuan🇨🇳Guangzhou University of Chinese Medicine
- Qiu-Cen Chen🇨🇳Guangzhou University of Chinese Medicine
- Wen-Kang Xiao🇨🇳Guangzhou University of Chinese Medicine
- Guiping Ma🇨🇳Guangzhou University of Chinese Medicine
- Jiahua Liang🇨🇳Meizhou City People's Hospital
- Xiaokun Chen🇨🇳Guangzhou University of Chinese Medicine
- Song Wang🇨🇳First Affiliated Hospital of Guangzhou University of Chinese Medicine
- Xiaoxiong Zhou🇨🇳First Affiliated Hospital of Guangzhou University of Chinese Medicine
- Hui Ming Wu🇨🇳 · autor de correspondenciaFirst Affiliated Hospital of Guangzhou University of Chinese Medicine
- Chuang-Xiong Hong🇨🇳 · autor de correspondenciaFirst Affiliated Hospital of Guangzhou University of Chinese Medicine
Resumen
El texto original del estudio, en el idioma en que se publicó.
Aim
The study (PROSPERO: CRD42021240905) aims to reveal the relationships among red meat, serum lipids and inflammatory biomarkers.
Methods and results
PubMed, EMBASE and the Cochrane databases were explored through December 2021 to identify 574 studies about red meat and serum lipids markers including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), C-reactive protein (CRP) or hypersensitive-CRP (hs-CRP). Finally, 20 randomized controlled trials (RCTs) involving 1001 people were included, red meat and serum lipid markers and their relevant information was extracted. The pooled standard mean difference (SMD) was obtained by applying a random-effects model, and subgroup analyses and meta-regression were employed to explain the heterogeneity. Compared with white meat or grain diets, the gross results showed that the consumption of red meat increased serum lipid concentrations like TG (0.29 mmol/L, 95% CI 0.14, 0.44,PP = 0.21), LDL-C (0.11 mmol/L, 95% CI -0.23, 0.45, P = 0.53), HDL-C (-0.07 mmol/L, 95% CI -0.31, 0.17, P = 0.57),CRP or hs-CRP (0.13 mmol/L, 95% CI -0.10, 0.37,P = 0.273).
Conclusion
Our study provided evidence to the fact that red meat consumption affected serum lipids levels like TG, but almost had no effect on TC, LDL-C, HDL-C and CRP or hs-CRP. Such diets with red meat should be taken seriously to avoid the problem of high lipid profiles.
Systematic review registration
[https://www.crd.york.ac.uk/PROSPERO], identifier [CRD42021240905].
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
Confianza de la comunidad
Cargando…
¿Cuánto confías en los hallazgos de este estudio?
Comentarios
¿Algo está mal aquí?
Señala este estudio si su información, etiquetas o financiación parecen incorrectas. Un editor revisa cada señalamiento.
Información educativa sobre investigación publicada. No es consejo médico ni una recomendación para empezar o dejar nada.