The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Coffee Consumption and Risk of Stroke: A Dose-Response Meta-Analysis of Prospective Studies
Abstract
Coffee consumption has been inconsistently associated with risk of stroke. The authors conducted a meta-analysis of prospective studies to quantitatively assess the association between coffee consumption and stroke risk. Pertinent studies were identified by searching PubMed and Embase from January 1966 through May 2011 and by reviewing the reference lists of retrieved articles. Prospective studies in which investigators reported relative risks of stroke for 3 or more categories of coffee consumption were eligible. Results from individual studies were pooled using a random-effects model. Eleven prospective studies, with 10,003 cases of stroke and 479,689 participants, met the inclusion criteria. There was some evidence of a nonlinear association between coffee consumption and risk of stroke (P for nonlinearity = 0.005). Compared with no coffee consumption, the relative risks of stroke were 0.86 (95% confidence interval (95% CI): 0.78, 0.94) for 2 cups of coffee per day, 0.83 (95% CI: 0.74, 0.92) for 3-4 cups/day, 0.87 (95% CI: 0.77, 0.97) for 6 cups/day, and 0.93 (95% CI: 0.79, 1.08) for 8 cups/day. There was marginal between-study heterogeneity among study-specific trends (I₂ = 12% and I₂ = 20% for the first and second spline transformations, respectively). Findings from this meta-analysis indicate that moderate coffee consumption may be weakly inversely associated with risk of stroke.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“These meta-analyses did not support an association between coffee consumption and a higher CVD risk, but the shape of the association remains uncertain.”
From Long-Term Coffee Consumption and Risk of Cardiovascular Disease: A Systematic Review and a Dose–Response Meta-Analysis of Prospective Cohort Studies (2014) · cites this paper as [15]
Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026
O'Donnell, M. J., Xavier, D., Liu, L., Zhang, H., Chin, S. L., Rao-Melacini, P., Rangarajan, S., Islam, S., Pais, P., McQueen, M. J., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60834-3 · Cited by 3,448
Generalized Least Squares for Trend Estimation of Summarized Dose–response Data
Orsini, N., Bellocco, R., & Greenland, S. (2006) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0600600103 · Cited by 1,248
Self-citationRegression Models in Clinical Studies: Determining Relationships Between Predictors and Response
Harre, F. E., Lee, K. L., & Pollock, B. G. (1988) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/80.15.1198 · Cited by 960
Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses
Jackson, D., White, I. R., & Thompson, S. G. (2009) · Statistics in Medicine · doi:10.1002/sim.3602 · Cited by 598
Coffee, Decaffeinated Coffee, and Tea Consumption in Relation to Incident Type 2 Diabetes Mellitus
Huxley, R. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.439 · Cited by 476
Nardini, M., D'Aquino, M., Tomassi, G., Gentili, V., Felice, M. D., & Scaccini, C. (1995) · Free Radical Biology and Medicine · doi:10.1016/0891-5849(95)00052-y · Cited by 457
Research works printed but not linked: 1
- Heyden, 1978, Archives of Internal Medicine, 138, 1472, 10.1001/archinte.1978.03630350010006 · DOI
Cited by
Sorted by citations
Scientific Opinion on the safety of caffeine
EFSA Panel on Dietetic Products, N. A. A. (. (2015) · EFSA Journal · doi:10.2903/j.efsa.2015.4102 · Cited by 613
“Two meta-analyses of prospective cohort studies have specifically addressed the association between coffee consumption and the risk of stroke (Larsson and Orsini, 2011; Kim et al., 2012).”
BackgroundDing, M., Bhupathiraju, S. N., Satija, A., van Dam, R. M., & Hu, F. B. (2014) · Circulation · doi:10.1161/circulationaha.113.005925 · Cited by 565
Coffee, Caffeine, and Health Outcomes: An Umbrella Review
Grosso, G., Godos, J., Galvano, F., & Giovannucci, E. L. (2017) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071816-064941 · Cited by 531
How does adenosine control neuronal dysfunction and neurodegeneration?
Cunha, R. A. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13724 · Cited by 456
“…injury (Sachse et al. 2008) or attention deficit and hyperactivity disorder (ADHD) (Gross 1975; Garfinkel et al. 1981) and risk to develop brain stroke (Larsson and Orsini 2011; Larsson et al. 2011), depression (Smith 2009; Ruusunen et al. 2010; Lucas et al. 2011; Guo et al. 2014; Pham et al.…”
BackgroundAlcohol Consumption and Risk of Atrial Fibrillation
Larsson, S. C., Drca, N., & Wolk, A. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.03.048 · Cited by 436
“We conducted a doseresponse meta-analysis by using the same methods as described in previous meta-analyses (14,15).”
MethodSelf-citationThe 2015 Dutch food-based dietary guidelines
Kromhout, D., Spaaij, C. J. K., de Goede, J., & Weggemans, R. M. (2016) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2016.52 · Cited by 416
Nutrition and Cardiovascular Health
Casas, R. M., Castro‐Barquero, S., Estruch, R., & Sacanella, E. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19123988 · Cited by 370
The impact of coffee on health
Cano-Marquina, A., Tarín, J. J., & Cano, A. (2013) · Maturitas · doi:10.1016/j.maturitas.2013.02.002 · Cited by 351
“Two recent meta-analyses, which have examined studies published up to 2011, have concluded that a weak inverse association (around 10–20% risk reduction) may exist between coffee consumption and the risk of stroke [84,85].”
BackgroundFruits and Vegetables Consumption and Risk of Stroke: A Meta-Analysis of Prospective Cohort Studies
Hu, D., Huang, J., Wang, Y., Zhang, D., & Qu, Y. (2014) · Stroke · doi:10.1161/strokeaha.114.004836 · Cited by 258
Neuroprotective Effects of Coffee Bioactive Compounds: A Review
Socała, K., Szopa, A., Serefko, A., Poleszak, E., & Właź, P. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms22010107 · Cited by 271
Carlström, M., & Larsson, S. C. (2018) · Nutrition Reviews · doi:10.1093/nutrit/nuy014 · Cited by 248
“A P value for nonlinearity was computed by testing the null hypothesis that the coefficient of the second spline was equal to zero.(24) Heterogeneity among studies was tested with the Cochran Q and I(2) statistics.”
MethodSelf-citationGlycemic Index, Glycemic Load, Carbohydrates, and Type 2 Diabetes
Greenwood, D. C., Threapleton, D. E., Evans, C., Cleghorn, C., Nykjaer, C., Woodhead, C., & Burley, V. J. (2013) · Diabetes Care · doi:10.2337/dc13-0325 · Cited by 223
“To examine possible nonlinear associations, we calculated restricted cubic splines for each study with more than three categories of exposure, using three fixed knots at 10%, 50% and 90% through the total distribution of reported intake, then combined using multivariate metaanalysis (19-22).”
MethodEffects of coffee/caffeine on brain health and disease: What should I tell my patients?
Nehlig, A. (2015) · Practical Neurology · doi:10.1136/practneurol-2015-001162 · Cited by 206
The effect of coffee consumption on serum lipids: a meta-analysis of randomized controlled trials
Cai, L., Ma, D., Zhang, Y., Liu, Z., & Wang, P. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.68 · Cited by 205
The Impact of Coffee on Health
Nieber, K. (2017) · Planta Medica · doi:10.1055/s-0043-115007 · Cited by 203
Jiang, X., Zhang, D., & Jiang, W. (2013) · European Journal of Nutrition · doi:10.1007/s00394-013-0603-x · Cited by 196
“If the upper boundary of the highest category was not provided, we assumed that the boundary had the same amplitude as the adjacent category [14].”
BackgroundZhang, Y., Yang, H., Li, S., Li, W., & Wang, Y. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003830 · Cited by 196
Stroke Prevention - Medical and Lifestyle Measures
Sarıkaya, H., Ferro, J. M., & Arnold, M. (2015) · European Neurology · doi:10.1159/000367652 · Cited by 201
Monteiro, J., Alves, M. G., Oliveira, P. F., & Silva, B. M. (2016) · Molecules · doi:10.3390/molecules21080974 · Cited by 195
“Moreover, epidemiologic studies have provided evidence of the cardioprotective actions of methylxanthine-containing beverages, in reducing the risk of coronary heart disease and stroke [263–265].”
BackgroundAssociation of Coffee Drinking With Mortality by Genetic Variation in Caffeine Metabolism
Loftfield, E., Cornelis, M. C., Caporaso, N. E., Yu, K. F., Sinha, R. R., & Freedman, N. D. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.2425 · Cited by 178
Coffee and caffeine consumption and depression: a meta-analysis of observational studies
Wang, L., Shen, X., Wu, Y., & Zhang, D. (2016) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867415603131 · Cited by 180
“If the upper boundary of the highest category was not provided, we assumed that the boundary had the same amplitude as the adjacent category (Larsson and Orsini, 2011).”
BackgroundCoffee and tea on cardiovascular disease (CVD) prevention
Chieng, D., & Kistler, P. M. (2021) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2021.08.004 · Cited by 172
Selenium and prostate cancer: systematic review and meta-analysis
Hurst, R., Hooper, L., Norat, T., Lau, R., Aune, D., Greenwood, D. C., Vieira, R., Collings, R., Harvey, L. J., Sterne, J. A. C., et al. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.033373 · Cited by 157
“To investigate the association between selenium status and prostate cancer risk, dose-response meta-analyses were used, with fractional polynomials for nonlinear trends (30, 31) and restricted cubic splines combined by using multivariate meta-analysis (32).”
MethodKokubo, Y., Iso, H., Saito, I., Yamagishi, K., Yatsuya, H., Ishihara, J., Inoue, M., & Tsugane, S. (2013) · Stroke · doi:10.1161/strokeaha.111.677500 · Cited by 156
Chen, L.-W., Wu, Y., Neelakantan, N., Chong, M. F.-F., Pan, A., & van Dam, R. M. (2014) · BMC Medicine · doi:10.1186/s12916-014-0174-6 · Cited by 147
“If the lower boundary of the lowest category was not provided, we assumed the lower boundary to be zero [26].”
BackgroundConsumption of Plant Seeds and Cardiovascular Health
Ros, E., & Hu, F. B. (2013) · Circulation · doi:10.1161/circulationaha.112.001119 · Cited by 149
Yang, C. S., Wang, H., & Sheridan, Z. (2017) · Journal of Food and Drug Analysis · doi:10.1016/j.jfda.2017.10.010 · Cited by 149
Loftfield, E., Freedman, N. D., Graubard, B. I., Guertin, K. A., Black, A., Huang, W., Shebl, F. M., Mayne, S. T., & Sinha, R. R. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv146 · Cited by 124
“Associations between coffee drinking and stroke incidence have been observed in somebutnot all prospective studies (15, 38).”
BackgroundMalerba, S., Turati, F., Galeone, C., Pelucchi, C., Verga, F., La Vecchia, C., & Tavani, A. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9834-7 · Cited by 119
“Coffee has been related with lower incidence of diabetes [2], stroke[3] and cancer at selected sites [4–8].”
BackgroundJiang, W., Wu, Y., & Jiang, X. (2013) · Gynecologic Oncology · doi:10.1016/j.ygyno.2013.03.014 · Cited by 110
“If the upper boundary of the highest category was not provided, we assumed that the boundary had the same amplitude as the adjacent category [26].”
BackgroundNutrition and the risk of stroke
Hankey, G. J. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70265-4 · Cited by 111
Chen, L.-W., Wu, Y., Neelakantan, N., Chong, M. F.-F., Pan, A., & van Dam, R. M. (2016) · Public Health Nutrition · doi:10.1017/s1368980015002463 · Cited by 100
“If the upper boundary of the highest category was not provided, we assumed that the boundary had the same amplitude as the second-highest category((25)).”
BackgroundAssociation between duration of oral contraceptive use and risk of hypertension: A meta‐analysis
Liu, H., Yao, J. J., Wang, W., & Zhang, D. (2017) · Journal of Clinical Hypertension · doi:10.1111/jch.13042 · Cited by 111
Dietary Polyphenols in the Prevention of Stroke
Tresserra‐Rimbau, A., Arranz, S., Eder, M., & Vallverdú‐Queralt, A. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/7467962 · Cited by 103
“Moreover, the mechanisms by which coffee may exert these beneficial effects are not clear [87, 91].”
BackgroundJia, Z., Zhang, X., Kang, S., & Wu, Y. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.03.026 · Cited by 98
“[10].”
Pharmacological potential of methylxanthines: Retrospective analysis and future expectations
Monteiro, J., Alves, M. G., Oliveira, P. F., & Silva, B. M. (2018) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2018.1461607 · Cited by 104
Shin, S., Lee, J. E., Loftfield, E., Shu, X., Abe, S. K., Rahman, M. S., Saito, E., Islam, M. R., Tsugane, S., Sawada, N., et al. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyab161 · Cited by 98
Coffee, Tea, and Cocoa and Risk of Stroke
Larsson, S. C. (2013) · Stroke · doi:10.1161/strokeaha.113.003131 · Cited by 97
“10) for 8 cups/d of coffee.(13) Risk estimates were similar for ischemic and hemorrhagic stroke and for men and women at lower levels of coffee consumption (≤2 cups/d).”
BackgroundResultInfluentialSelf-citationAlcohol consumption and hip fracture risk
Zhang, X., Yu, Z., Yu, M. C., & Qu, X. (2014) · Osteoporosis International · doi:10.1007/s00198-014-2879-y · Cited by 98
“We used restricted cubic splines (three knots at fixed percentiles of 10, 50, and 90 of the distribution) by employing generalized least-squares regression to examine the potential nonlinear dose–response associations between alcohol consumption and the risk of hip fractures [38, 39].”
Cardiovascular effects of caffeinated beverages
Voskoboinik, A., Koh, Y., & Kistler, P. M. (2018) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2018.09.019 · Cited by 92
Body Mass Index and Risk of Rheumatoid Arthritis
Feng, J., Chen, Q., Yu, F., Wang, Z., Chen, S., Jin, Z., Cai, Q., Liu, Y., & He, J. (2016) · Medicine · doi:10.1097/md.0000000000002859 · Cited by 91
“All rights reserved. and Orsini.19,20 The numbers of cases and person-years or noncases and the RRs with the variance estimates for at least 3 quantitative exposure categories are required when using this method.”
MethodWang, X., Chen, H., Ouyang, Y., Liu, J., Zhao, G., Bao, W., & Yan, M. (2014) · BMC Medicine · doi:10.1186/s12916-014-0158-6 · Cited by 94
“A P-value for a non-linear relationship was calculated by testing the null hypothesis that the coefficient of the second spline was equal to zero [17].”
MethodChieng, D., Cánovas, R., Segan, L. A., Sugumar, H., Voskoboinik, A., Prabhu, S., Ling, L., Lee, G., Morton, J. B., Kaye, D. M., et al. (2022) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwac189 · Cited by 89
Xia, X., Chen, W., Li, J., Chen, X., Rui, R., Liu, C., Sun, Y., Liu, L., Gong, J., & Yuan, P. (2014) · Scientific Reports · doi:10.1038/srep07480 · Cited by 89
Dairy foods and risk of stroke: A meta-analysis of prospective cohort studies
Hu, D., Huang, J., Wang, Y., Zhang, D., & Qu, Y. (2014) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2013.12.006 · Cited by 88
Larsson, S. C., & Orsini, N. (2018) · Nutrients · doi:10.3390/nu10101501 · Cited by 87
Self-citationChocolate consumption and risk of stroke
Larsson, S. C., Virtamo, J. R. K., & Wolk, A. (2012) · Neurology · doi:10.1212/wnl.0b013e31826aacfa · Cited by 80
Self-citationNordestgaard, A. T., & Nordestgaard, B. G. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw325 · Cited by 84
Coffee Consumption and Cardiovascular Health: Getting to the Heart of the Matter
Rebello, S. A., & van Dam, R. M. (2013) · Current Cardiology Reports · doi:10.1007/s11886-013-0403-1 · Cited by 78
Adenosine A2A Receptors Modulate Acute Injury and Neuroinflammation in Brain Ischemia
Pedata, F., Pugliese, A. M., Coppi, E., Dettori, I., Maraula, G., Cellai, L., & Melani, A. (2014) · Mediators of Inflammation · doi:10.1155/2014/805198 · Cited by 76
“In agreement, Larsson andOrsini [197] reported that it is the moderate coffee consumption (3-4 cups/day) that reduces the risk of stroke.”
Jaacks, L. M., Kapoor, D., Singh, K., Narayan, K. M. V., Ali, M. K., Kadir, M., Mohan, V., Tandon, N., & Prabhakaran, D. (2016) · Nutrition · doi:10.1016/j.nut.2016.02.011 · Cited by 74
Coffee consumption and risk of hypertension: a dose–response meta-analysis of prospective studies
D’Elia, L., Fata, E. L., Galletti, F., Scalfi, L., & Strazzullo, P. (2017) · European Journal of Nutrition · doi:10.1007/s00394-017-1591-z · Cited by 78
Zou, L., Zhong, R., Shen, N., Chen, W., Zhu, B., Ke, J., Lu, X., Zhang, T., Lou, J., Wang, Z., et al. (2013) · European Journal of Cancer · doi:10.1016/j.ejca.2013.08.014 · Cited by 73
“Between-study heterogeneity was assessed by the I statistic (I < 30%, no betweenstudy heterogeneity or marginal between-study heterogeneity; I = 30–75%, mild heterogeneity; I > 75%, notable heterogeneity) [20].”
Method2-Furoylglycine as a Candidate Biomarker of Coffee Consumption
Heinzmann, S. S., Holmes, E. C., Kochhar, S., Nicholson, J. K., & Schmitt‐Kopplin, P. (2015) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5b03040 · Cited by 71
Effect of taurine and potential interactions with caffeine on cardiovascular function
Schaffer, S. W., Shimada, K., Jong, C. J., Ito, T., Azuma, J., & Takahashi, K. (2014) · Amino Acids · doi:10.1007/s00726-014-1708-0 · Cited by 72
“Regarding caffeine, a recent prospective cohort study in 36740 Swedish women over 10 years, low (\1 cup/day) or no coffee consumption was linked to increased risk of total stroke and ischemic stroke compared to moderate and high intake of coffee in healthy subjects (Larsson and Orsini 2011).”
BackgroundZhang, L., Wang, X., Zheng, X., Liu, T.-Z., Zhang, W., Zheng, H., & Chen, M.-F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119006 · Cited by 70
“2) times the cutoff point [26]; for open-ended upper categories, the assigned dose was evaluated as 1.”
BackgroundGaeini, Z., Bahadoran, Z., Mirmiran, P., & Azizi, F. (2019) · Nutrition & Metabolism · doi:10.1186/s12986-019-0355-6 · Cited by 76
Wierzejska, R. E. (2017) · Archives of Medical Science · doi:10.5114/aoms.2016.63599 · Cited by 63
“The authors of that report also pointed out that in four studies the association between coffee consumption and stroke was similar for ischemic stroke and hemorrhagic stroke, but the results were statistically significant only for ischemic stroke [38].”
ResultAssociation of coffee drinking with all-cause mortality: a systematic review and meta-analysis
Zhao, Y., Wu, K., Zheng, J., Zuo, R., & Li, D. (2014) · Public Health Nutrition · doi:10.1017/s1368980014001438 · Cited by 61
“Meta-analyses of prospective cohort studies have suggested U-shaped associations between coffee drinking and the incidence of stroke (15) , congestive heart failure (36) and Parkinson ’ s disease (37) , with the maximum and also statistically signi fi cant protection observed in people who drunk…”
Larsson, S. C., Drca, N., Jensen‐Urstad, M., & Wolk, A. (2015) · BMC Medicine · doi:10.1186/s12916-015-0447-8 · Cited by 60
“We performed a random-effects dose–response meta-analysis using the same method as described in previous meta-analyses [4, 5] to compute the RRs per 2 cups/d increment of coffee consumption.”
Self-citationShahinfar, H., Jayedi, A., Khan, T. A., & Shab‐Bidar, S. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.05.014 · Cited by 58
Coffee consumption and cardiometabolic health: a comprehensive review of the evidence
Ungvari, Z. I., & Kunutsor, S. K. (2024) · GeroScience · doi:10.1007/s11357-024-01262-5 · Cited by 69
“In a 2011 dose-response meta-analysis of 11 prospective cohort studies, there was some evidence of a nonlinear association between coffee consumption and risk of stroke [84].”
BackgroundInfluentialThe impact of coffee consumption on blood pressure, cardiovascular disease and diabetes mellitus
Chrysant, S. G. (2017) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2017.1287563 · Cited by 54
Fat Intake Is Not Linked to Prostate Cancer: A Systematic Review and Dose-Response Meta-Analysis
Xu, C., Han, F., Zeng, X., Liu, T.-Z., Shen, L., & Gao, Z. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131747 · Cited by 47
Gardener, H. E., Rundek, T., Wright, C. B., Elkind, M. S. V., & Sacco, R. L. (2013) · Journal of Nutrition · doi:10.3945/jn.112.173807 · Cited by 47
Egg consumption and risk of type 2 diabetes: a prospective study and dose–response meta-analysis
Wallin, A., Forouhi, N. G., Wolk, A., & Larsson, S. C. (2016) · Diabetologia · doi:10.1007/s00125-016-3923-6 · Cited by 48
“We conducted a random-effects dose–response meta-analysis using methods reported in a previous meta-analysis [25].”
MethodSelf-citationGardener, S. L., Rainey‐Smith, S. R., Villemagne, V. L., Fripp, J., Doré, V., Bourgeat, P., Taddei, K., Fowler, C. J., Masters, C. L., Maruff, P. T., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.744872 · Cited by 53
Evidence on the Effects of Mandatory Disclaimers in Advertising
Green, K. C., & Armstrong, J. S. (2012) · Journal of Public Policy & Marketing · doi:10.1509/jppm.12.053 · Cited by 47
“Researchers later claimed that coffee has net health benefits (e.g., Larsson and Orsini 2011).”
BackgroundCoffee, tea, and the risk of hip fracture: a meta-analysis
Sheng, J., Qu, X., Zhang, X., Zhai, Z., Li, H., Liu, X., Li, H., Liu, G., Zhu, Z., Hao, Y., et al. (2013) · Osteoporosis International · doi:10.1007/s00198-013-2563-7 · Cited by 46
“We used restricted cubic splines (three knots at fixed percentiles of 10, 50, and 90 % of the distribution) by employing generalized least-squares regression to examine the potential nonlinear dose–response associations between coffee and tea consumption and the risk of hip fracture [20, 21].”
MethodFukushima, Y., Tashiro, T., Kumagai, A., Ohyanagi, H., Horiuchi, T., Takizawa, K., Sugihara, N., Kishimoto, Y., Taguchi, C., Tani, M., et al. (2014) · Journal of Nutritional Science · doi:10.1017/jns.2014.19 · Cited by 46
Yu, F., Jin, Z., Jiang, H., Xiang, C., Tang, J., Li, T., & He, J. (2014) · BMC Cancer · doi:10.1186/1471-2407-14-197 · Cited by 45
“We also tested the nonlinear relationship between tea consumption and cancer risk by modeling tea consumption levels by using restricted cubic splines with 3 knots at fixed percentiles (10%, 50%, and 90%) of the distribution as described by Larsson and Orsini [36,37].”
MethodInfluentialDietary Approaches for Stroke Prevention
Larsson, S. C. (2017) · Stroke · doi:10.1161/strokeaha.117.017383 · Cited by 45
Self-citationRui, R., Lou, J., Zou, L., Zhong, R., Wang, J., Ding, X., Wang, Q., Li, H., Wu, J., Lu, X., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044522 · Cited by 46
Shao, C., Tang, H., Wang, X., & He, J. (2020) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2020.105452 · Cited by 43
Diterpenes: Advances in Neurobiological Drug Research
Islam, M. T., da Silva, C. B., de Alencar, M. V. O. B., Paz, M. F. C. J., Almeida, F. R. D. C., & Cavalcante, A. A. D. C. M. (2016) · Phytotherapy Research · doi:10.1002/ptr.5609 · Cited by 42
“…et al. (1996) was suggested that the relative risk of suicide may be decreased by 13%; otherwise, a reduction of risk of stroke by 10–20% was observed by Larsson and Orsini (2011) and Kim et al. (2012) for every cup of coffee consumed daily, which is rich in diterpenes such as cafestol and kahweol.”
BackgroundGoodness of fit tools for dose–response meta‐analysis of binary outcomes
Discacciati, A., Crippa, A., & Orsini, N. (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1194 · Cited by 41
“Example 2 (Larsson and Orsini, 2011): decorrelated residuals-versus-exposure plots.”
BackgroundInfluentialSelf-citationAnalysis of diterpenes and diterpenoids
Eksi, G., Kurbanoğlu, S., & Erdem, S. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816455-6.00009-3 · Cited by 39
Yang, Y., Liu, D.-C., Wang, Q., Long, Q., Zhao, S., Zhang, Z., Ma, Y., Wang, Z., Chen, L., & Wang, L. (2015) · Nutrition · doi:10.1016/j.nut.2015.11.013 · Cited by 38
Ward, N. C., Hodgson, J. M., Woodman, R. J., Zimmermann, D., Poquet, L., Lévèques, A., Actis‐Goretta, L., Puddey, I. B., & Croft, K. D. (2016) · Food & Function · doi:10.1039/c6fo00248j · Cited by 37
Coffee consumption and the risk of cutaneous melanoma: a meta-analysis
Wang, J., Li, X., & Zhang, D. (2015) · European Journal of Nutrition · doi:10.1007/s00394-015-1139-z · Cited by 35
“If the upper boundary of the highest category was not provided, we supposed that the boundary had the same amplitude as the contiguous category [24].”
BackgroundKempf, K., Kolb, H., Gärtner, B., Bytof, G., Stiebitz, H., Lantz, I., Lang, R., Hofmann, T. F., & Martin, S. (2014) · European Journal of Nutrition · doi:10.1007/s00394-014-0763-3 · Cited by 36
“Although there may be a transient increase of blood pressure after drinking coffee containing caffeine [36, 37], most (but not all) studies could not detect a higher risk of cardiovascular disease or stroke, or of overall mortality in habitual coffee drinkers but rather a trend in the opposite direction [37–41].”
Naylor, L. H., Zimmermann, D., Guitard-Uldry, M., Poquet, L., Lévèques, A., Eriksen, B., Rhlid, R. B., Galaffu, N., D’Urzo, C., Castro, A. D., et al. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa312 · Cited by 33
Coffee consumption and coronary artery calcium in young and middle-aged asymptomatic adults
Choi, Y., Chang, Y., Ryu, S., Cho, J., Rampal, S., Zhang, Y., Ahn, J., Lima, J. A. C., Shin, H. C., & Güallar, E. (2015) · Heart · doi:10.1136/heartjnl-2014-306663 · Cited by 33
Nonlinear dose–response relationship between radon exposure and the risk of lung cancer
Duan, P., Quan, C., Hu, C., Zhang, J., Xie, F., Hu, X., Yu, Z., Gao, B., Liu, Z., Zheng, H., et al. (2014) · European Journal of Cancer Prevention · doi:10.1097/cej.0000000000000066 · Cited by 32
Safety of coffee consumption after myocardial infarction: A systematic review and meta-analysis
Ribeiro, E., Alves, M., Costa, J. N., Ferreira, J. J., Pinto, F. J., & Caldeira, D. (2020) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2020.07.016 · Cited by 32
“, it was shown that moderate coffee consumption may be weakly inversely associated with risk of stroke [30].”
BackgroundCarrieri, P., Protopopescu, C., Marcellin, F., Rosellini, S., Wittkop, L., Esterle, L., Zucman, D., Raffi, F., Rosenthal, É., Poizot‐Martin, I., et al. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.08.005 · Cited by 30
How Can Diet Influence the Risk of Stroke?
Medeiros, F., Casanova, M. D. A., Fraulob, J. C., & Trindade, M. (2012) · International Journal of Hypertension · doi:10.1155/2012/763507 · Cited by 28
“A meta-analysis of 11 prospective studies of 479,689 participants, in which relative risk of stroke for three or more categories of coffee consumption was reported, has concluded that moderate coffee consumption may be weakly inversely associated with risk of stroke [18].”
BackgroundDoes Caffeine Consumption Increase the Risk of New-Onset Atrial Fibrillation?
Abdelfattah, R. S., Kamran, H., Lazar, J., & Kassotis, J. (2018) · Cardiology · doi:10.1159/000489843 · Cited by 28
Krittanawong, C., Tunhasiriwet, A., Wang, Z., Farrell, A. M., Chirapongsathorn, S., Zhang, H., Kitai, T., & Mehta, D. (2020) · European Journal of Preventive Cardiology · doi:10.1177/2047487320908385 · Cited by 29
Lee, J., Lee, J.-E., & Kim, Y. (2017) · Nutrition Journal · doi:10.1186/s12937-017-0232-y · Cited by 27
“Another meta-analysis [12] found that the association between the two was U-shaped.”
BackgroundStroke and food groups: an overview of systematic reviews and meta-analyses
Deng, C., Lu, Q., Gong, B., Li, L., Chang, L., Fu, L., & Zhao, Y. (2017) · Public Health Nutrition · doi:10.1017/s1368980017003093 · Cited by 27
“Y Y N C N Y N Y Y Y Y 7 Larsson and Orsini((27)) NA Y Y Y N Y N Y Y Y Y 8 Mellen et al.”
BackgroundInfluentialChen, Q., Wang, J., Yang, J., Jin, Z., Shi, W., Qin, Y., Yu, F., & He, J. (2014) · International Journal of Cancer · doi:10.1002/ijc.29331 · Cited by 28
“The details of the methods were described by Larsson and Orsini.26,27 The p-value for linearity was calculated by testing the null hypothesis that the coefficient of the second spline was equal to zero.”
MethodQiu, S., Cai, X., Wu, T., Sun, Z., Guo, H., Kirsten, J., Wendt, J., Steinacker, J. M., & Schümann, U. (2020) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-19-1446 · Cited by 26
The association of tea consumption and the risk and progression of prostate cancer: a meta-analysis.
Fei, X., Shen, Y., Li, X., & Guo, H. (2014) · Europe PMC (PubMed Central) · Cited by 25
Caffeine-Containing Medicines Increase the Risk of Hemorrhagic Stroke
Lee, S.-M., Choi, N., Lee, B., Cho, K., Yoon, B., & Park, B. (2013) · Stroke · doi:10.1161/strokeaha.111.674077 · Cited by 25
“association was modest and the biological mechanism remains unclear.(8) In this context, our results suggest that CCMs increased the risk of HS consistently.”
BackgroundResultInfluentialCoffee consumption and risk of heart failure in the Physicians' Health Study
Bodar, V., Chen, J., Sesso, H. D., Gaziano, J. M., & Djoussé, L. (2020) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2020.09.216 · Cited by 24
Coffee Consumption and Cardiovascular Health
Chrysant, S. G. (2015) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2015.05.057 · Cited by 24
Lu, X., Zhu, X., Li, G., Wu, L., Shao, L., Fan, Y., Pan, C., Wu, Y., Borné, Y., & Ke, C. (2024) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae552 · Cited by 22
Nutrition in the primary and secondary prevention of stroke
Apostolopoulou, M. I., Michalakis, K. G., Miras, A. D., Hatzitolios, A. I., & Savopoulos, C. G. (2012) · Maturitas · doi:10.1016/j.maturitas.2012.02.006 · Cited by 23
Coffee consumption and risk of nonmelanoma skin cancer: a dose–response meta-analysis
Vaseghi, G., Javanmard, S. H., Naderi, J., Eshraghi, A., Mahdavi, M., & Mansourian, M. (2016) · European Journal of Cancer Prevention · doi:10.1097/cej.0000000000000322 · Cited by 22
“Epidemiological studies have suggested that coffee may prevent cardiovascular disease, cancer-caused mortality (Crippa et al., 2014), type 2 diabetes (Jiang et al., 2014), stroke (Larsson and Orsini, 2011), prostate cancer (Lu et al., 2014), and endometrial cancer (Je et al., 2011).”
Background
Metadata
- Authors
- Larsson, S. C., & Orsini, N.
- Affiliations
- Karolinska Institutet (SE)
- Corresponding author
- Larsson, S. C.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09-13
- Volume
- 174
- Issue
- 9
- Pages
- 993-1001
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2106703328
- Cited by
- 196
- References
- 38
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 15 · 2023: 5 · 2022: 7 · 2021: 9 · 2020: 15 · 2019: 4 · 2018: 11 · 2017: 13 · 2016: 21 · 2015: 25 · 2014: 23 · 2013: 20 · 2012: 11
- FWCI
- 2.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Karolinska Institutet
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Coffee research and impacts
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Keywords
- coffee consumption, stroke risk, dose-response relationship, nonlinear relationship, caffeine, cardiovascular disease, relative risk
- MeSH terms
- Coffee, Dose-Response Relationship, Drug, Female, Humans, Male, Prospective Studies, Risk, Risk Factors, Stroke
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
