379 results on '"SACKS, F"'
Search Results
2. Two-year changes in circulating adiponectin, ectopic fat distribution and body composition in response to weight-loss diets: the POUNDS Lost Trial
- Author
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Ma, W, Huang, T, Wang, M, Zheng, Y, Wang, T, Heianza, Y, Sun, D, Smith, S R, Bray, G A, Sacks, F M, and Qi, L
- Published
- 2016
- Full Text
- View/download PDF
3. Genetic variation of fasting glucose and changes in glycemia in response to 2-year weight-loss diet intervention: the POUNDS LOST trial
- Author
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Wang, T, Huang, T, Zheng, Y, Rood, J, Bray, G A, Sacks, F M, and Qi, L
- Published
- 2016
- Full Text
- View/download PDF
4. Protein-based HDL subspecies:Rationale and association with cardiovascular disease, diabetes, stroke, and dementia
- Author
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Sacks, F. M., Furtado, J. D., Jensen, M. K., Sacks, F. M., Furtado, J. D., and Jensen, M. K.
- Abstract
HDL-cholesterol is associated with reduced risk of cardiovascular disease, and is used in clinical practice for risk stratification. HDL is composed of many protein-defined subspecies that each comprises just a few percent of the total, some associated with lower and some with higher risk of CVD. HDL that contains apoC3 or apoE are subspecies that have opposing actions on HDL reverse cholesterol transport and opposing associations with risk of future CVD, apoC3 adverse and apoE beneficial. In addition to coronary heart disease, HDL that contains apoC3 is associated with risk of future type 2 diabetes and insulin resistance; ischemic stroke and cerebral infarction; dementia and the deposition of beta-amyloid in the brain. HDL that contains apoE and apoE itself are associated with lower risk of dementia. Other HDL subspecies that contain complement C3, alpha-2 macroglobulin, plasminogen, or haptoglobin are associated with higher future risk of coronary heart disease, whereas others such as HDL that contains apoC1 are associated with lower risk. At this time, these findings provide improved understanding of the multifaceted HDL system to better determine risk and targeting of therapy for the most prevalent chronic lifestyle diseases in our society., HDL-cholesterol is associated with reduced risk of cardiovascular disease, and is used in clinical practice for risk stratification. HDL is composed of many protein-defined subspecies that each comprises just a few percent of the total, some associated with lower and some with higher risk of CVD. HDL that contains apoC3 or apoE are subspecies that have opposing actions on HDL reverse cholesterol transport and opposing associations with risk of future CVD, apoC3 adverse and apoE beneficial. In addition to coronary heart disease, HDL that contains apoC3 is associated with risk of future type 2 diabetes and insulin resistance; ischemic stroke and cerebral infarction; dementia and the deposition of beta-amyloid in the brain. HDL that contains apoE and apoE itself are associated with lower risk of dementia. Other HDL subspecies that contain complement C3, alpha-2 macroglobulin, plasminogen, or haptoglobin are associated with higher future risk of coronary heart disease, whereas others such as HDL that contains apoC1 are associated with lower risk. At this time, these findings provide improved understanding of the multifaceted HDL system to better determine risk and targeting of therapy for the most prevalent chronic lifestyle diseases in our society.
- Published
- 2022
5. Effects of dietary carbohydrate on 1,5‐anhydroglucitol in a population without diabetes: results from the OmniCarb trial
- Author
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Juraschek, S. P., Miller, E. R., III, Appel, L. J., Christenson, R. H., Sacks, F. M., and Selvin, E.
- Published
- 2017
- Full Text
- View/download PDF
6. Impact upon angiographic disease progression following step drug therapy in normolipidaemic patients: results of the Harvard Atherosclerosis Reversibility Project (HARP)
- Author
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Harvard Atherosclerosis Reversibility Project Group, Gibson, C. M., Stone, P. H., Pasternak, R. C., Sacks, F. M., Bruschke, Albert V. G., editor, Reiber, Johan H. C., editor, Lie, K. I., editor, and Wellens, Hein J. J., editor
- Published
- 1996
- Full Text
- View/download PDF
7. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
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Brown, P, Zhou, Y, Tan, A, El-Esawi, M, Liehr, T, Blanck, O, Gladue, D, Almeida, G, Cernava, T, Sorzano, C, Yeung, A, Engel, M, Chandrasekaran, A, Muth, T, Staege, M, Daulatabad, S, Widera, D, Zhang, J, Meule, A, Honjo, K, Pourret, O, Yin, C, Zhang, Z, Cascella, M, Flegel, W, Goodyear, C, van Raaij, M, Bukowy-Bieryllo, Z, Campana, L, Kurniawan, N, Lalaouna, D, Huttner, F, Ammerman, B, Ehret, F, Cobine, P, Tan, E, Han, H, Xia, W, Mccrum, C, Dings, R, Marinello, F, Nilsson, H, Nixon, B, Voskarides, K, Yang, L, Costa, V, Bengtsson-Palme, J, Bradshaw, W, Grimm, D, Kumar, N, Martis, E, Prieto, D, Sabnis, S, Amer, S, Liew, A, Perco, P, Rahimi, F, Riva, G, Zhang, C, Devkota, H, Ogami, K, Basharat, Z, Fierz, W, Siebers, R, Tan, K, Boehme, K, Brenneisen, P, Brown, J, Dalrymple, B, Harvey, D, Ng, G, Werten, S, Bleackley, M, Dai, Z, Dhariwal, R, Gelfer, Y, Hartmann, M, Miotla, P, Tamaian, R, Govender, P, Gurney-Champion, O, Kauppila, J, Zhang, X, Echeverria, N, Subhash, S, Sallmon, H, Tofani, M, Bae, T, Bosch, O, Cuiv, P, Danchin, A, Diouf, B, Eerola, T, Evangelou, E, Filipp, F, Klump, H, Kurgan, L, Smith, S, Terrier, O, Tuttle, N, Ascher, D, Janga, S, Schulte, L, Becker, D, Browngardt, C, Bush, S, Gaullier, G, Ide, K, Meseko, C, Werner, G, Zaucha, J, Al-Farha, A, Greenwald, N, Popoola, S, Rahman, S, Xu, J, Yang, S, Hiroi, N, Alper, O, Baker, C, Bitzer, M, Chacko, G, Debrabant, B, Dixon, R, Forano, E, Gilliham, M, Kelly, S, Klempnauer, K, Lidbury, B, Lin, M, Lynch, I, Ma, W, Maibach, E, Mather, D, Nandakumar, K, Ohgami, R, Parchi, P, Tressoldi, P, Xue, Y, Armitage, C, Barraud, P, Chatzitheochari, S, Coelho, L, Diao, J, Doxey, A, Gobet, A, Hu, P, Kaiser, S, Mitchell, K, Salama, M, Shabalin, I, Song, H, Stevanovic, D, Yadollahpour, A, Zeng, E, Zinke, K, Alimba, C, Beyene, T, Cao, Z, Chan, S, Gatchell, M, Kleppe, A, Piotrowski, M, Torga, G, Woldesemayat, A, Cosacak, M, Haston, S, Ross, S, Williams, R, Wong, A, Abramowitz, M, Effiong, A, Lee, S, Abid, M, Agarabi, C, Alaux, C, 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Esfahlani, S, Falk, S, Guisado, J, Kane, N, Kueberuwa, G, Lau, C, Liang, D, Liu, E, Luu, A, Ma, C, Ma, L, Moyer, R, Norris, A, Panthee, S, Parsons, J, Peng, Y, Pinto, I, Reschke, C, Sillanpaa, E, Stewart, C, Uhle, F, Yang, H, Zhou, K, Zhu, S, Ashry, M, Bergsland, N, Berthold, M, Chen, C, Colella, V, Cuypers, M, Eskew, E, Fan, X, Gajda, M, Gonzalezlez-Prendes, R, Goodin, A, Graham, E, Groen, E, Gutierrez-Sacristan, A, Habes, M, Heffler, E, Higginbottom, D, Janzen, T, Jayaraman, J, Jibb, L, Jongen, S, Kinyanjui, T, Koleva-Kolarova, R, Li, Z, Liu, Y, Lund, B, Lussier, A, Mier, P, Moore, M, Nagler, K, Orme, M, Pearson, J, Prajapati, A, Saito, Y, Troder, S, Uchendu, F, Verloh, N, Voutchkova, D, Abu-Zaid, A, Bakkach, J, Baumert, P, Dono, M, Hanson, J, Herbelet, S, Hobbs, E, Kulkarni, A, Liu, S, Loft, N, Reddan, T, Senghore, T, Vindin, H, Xu, H, Bannon, R, Chen, B, Cheung, J, Cooper, J, Esnakula, A, Feghali, K, Ghelardi, E, Gnasso, A, Horbar, J, Lai, H, Ma, R, Pan, Z, Peres, M, Pranata, R, 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Corea, E, Costa, A, Costa, E, Coupland, C, Crawford, S, Cruz, A, Cui, H, Cui, Q, Culver, D, D'Angiulli, A, Dahms, T, Daigle, F, Dalgleish, R, Danielsen, H, Darras, S, Davidson, S, Day, D, Degirmenci, V, Demaison, L, Devriendt, K, Ding, J, Dogan, Y, Dong, X, Donner, C, Dressick, W, Drevon, C, Duan, H, Ducho, C, Dumaz, N, Dwarakanath, B, Ebell, M, Eisenhardt, S, Elkum, N, Engel, N, Erickson, T, Fairhead, M, Faville, M, Fejzo, M, Festa, F, Feteira, A, Flood-Page, P, Forsayeth, J, Fox, S, Franks, S, Frentiu, F, Frilander, M, Fu, X, Fujita, S, Galea, I, Galluzzi, L, Gani, F, Ganpule, A, Garcia-Alix, A, Gedye, K, Giordano, M, Giunta, C, Gleeson, P, Goarant, C, Gong, H, Gora, D, Gough, M, Goyal, R, Graham, K, Grande-Perez, A, Graves, P, Greidanus, H, Grice, D, Grunau, C, Gumulya, Y, Guo, Y, Gurevich, V, Gusev, O, Hacker, E, Hage, S, Hagen, G, Hahn, S, Haller, D, Hammerschmidt, S, Han, J, Han, R, Handfield, M, Hapuarachchi, H, Harder, T, Hardingham, J, Heck, M, Heers, M, Hew, K, Higuchi, Y, 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G., Tiffon C., Tinnefeld P., Tjahjono D. H., Tolle F., Toth E., Del Tredici A. L., Tsapas A., Tsirigotis K., Turak A., Tzotzos G., Udo E. E., Utsumi T., Vaidyanathan S., Vaillant M., Valsesia A., Vandenbroucke R. E., Veiga F. H., Vendrell M., Vesk P. A., Vickers P., Victor V. M., Villemur R., Vohl M. -C., Voolstra C. R., Vuillemin A., Wakelin S., Waldron L., Walsh L. J., Wang A. Y., Wang F., Wang Y., Watanabe Y., Weigert A., Wen J. -C., Wham C., White E. P., Wiener J., Wilharm G., Wilkinson S., Willmann R., Wilson C., Wirth B., Wojan T. R., Wolff M., Wong B. M., Wu T. -W., Wuerbel H., Xiao X., Xu D., Xu J. W., Xue B., Yalcin S., Yan H., Yang E. -C., Yang S., Yang W., Ye Y., Ye Z. -Q., Yli-Kauhaluoma J., Yoneyama H., Yu Y., Yuan G. -C., Yuh C. -H., Zaccolo M., Zeng C., Zevnik B., Zhang L., Zhang Y., Zhang Z. -Y., Zhao Y., Zhou M., Zuberbier T., Aanei C. M., Ahmad R., Al-Lawama M., Alanio A., Allardyce J., Alonso-Caneiro D., Atack J. 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M., Valenti A., Verlot P., Walker M., Wang J., Welter D., Winslade M., Wu D., Wu Y. -R., Xiao H., Xu B., Xu Z., Yang D., Yang M., Yankilevich P., You Y., Yu C., Zhan J., Zhang G., Zhang K., Zhang T., Zhao G., Zhao J., Zhou X., Zhu Z., Ajani P. A., Anazodo U. C., Bagloee S. A., Bail K., Bar I., Bathelt J., Benkeser D., Bernier M. L., Blanchard A. M., Boakye D. W., Bonatsos V., Boon M. H., Bouboulis G., Bromfield E., Brown J., Bul K. C. M., Burton K. J., Butkowski E. G., Carroll G., Chao F., Charrier E. E., Chen Y. -C., Choi J. R., Christoffersen T., Comel J. C., Cosse C., Cui Y., van Dessel P., Diodato D., Duffey M., Dutt A., Egea L. G., El-Said M., Faye M., Fernandez-Fernandez B., Foley K. G., Founou L. L., Fu F., Gadelkareem R. A., Galimov E., Garip G., Gemmill A., Gouil Q., Grey J., Gridneva Z., Grothe M. J., Grebert T., Guerrero F., Guignard L., Haenssgen M. J., Hasler D., Holgate J. Y., Huang A., Hulse-Kemp A. M., Jean-Quartier C., Jeon S. -M., Jia Y., Jutzeler C., Kalatzis P., Karim M., Karsay K., Keitel A., Kempe A., Keown J. R., Khoo C. M., Khwaja N., Kievit R. A., Kosanic S., Koutoukidis D. A., Kramer P., Kumar D., Kirag N., Lanza G., Le T. D., Leem J. W., Leightley D., Leite A., Lercher L., Li Y., Lim R., Lima L. R. A., Lin L., Ling T., Liu Y., Liu Z., Lu Y., Lum F. M., Luo H., Machhi J., Macleod A., Macwan I., Madala H. R., Madani N., de Maio N., Makowiecki K., Mallinson D. J., Margelyte R., Maria C., Markonis Y., Marsili L., Mavoa S., McWilliams L., Megersa M., Souto-Maior C., Menichetti J., Mercieca-Bebber R., Miller J. J., Minde D. -P. M., Minges A., Mishra E., Mishra V. R., Moores C., Morrice N., Moskalensky A. E., Navarin N., Negera E., Nolet P., Nordberg A., Norden R., Nowicki J. P., Olova N., Olszewski P., Onzima R., Pan C. -L., Park C., Park D. I., Park S., Patil C. D., Pedro S. A., Perry S. R., Peter J., Peterson B. M., Pezzuolo A., Pozdnyakov I., Qian S., Qin L., Rafe A., Raote I., Raza A., Rebl H., Refai O., Regan T., Richa T., Richardson M. F., Robinson K. R., Rossoni L., Rouet R., Safaei S., Schneeberger P. H. H., Schwotzer D., Sebastian A., Selinski J., Seltmann S., Sha F., Shalev N., Shang J. -L., Singer J., Singh M., Smith T., Solomon-Moore E., Song L., Soraggi S., Stanley R., Steckhan N., Strobl F., Subissi L., Supriyanto I., Surve C. R., Suzuki T., Syme C., Sorelius K., Tang Y., Tantawy M., Tennakoon S., Teseo S., Toelzer C., Tomov N., Tovar M., Tran L., Tripathi S., Tuladhar A. M., Ukubuiwe A. C., Ung C. O. L., Valgepea K., Vatanparast H., Vidal A., Wang Q., Watari R., Webster R., Wei J., Wibowo D., Wingenbach T. S. H., Xavier R. M., Xiao S., Xiong P., Xu S., Yao R., Yao W., Yin Q., Zaitsu M., Zeineb Z., Zhan X. -Y., Zhang R., Zhang W., Zheng S., Zhou B., Ahmad H., Akinwumi S. A., Albery G. F., Alhowimel A., Ali J., Alshehri M., Alsuhaibani M., Anikin A., Azubuike S. O., Bach-Mortensen A., Baltiansky L., Bartas M., Belachew K. Y., Bhardwaj V., Binder K., Bland N. S., Boah M., Bullen B., Calabro G. E., Callahan T. J., Cao B., Chalmers K., Chang W., Che Z., Chen A. T. Y., Chen Z., Choi Y., Chowdhury M. A. K., Christensen M. R., Cooke R. S. C., Cottini M., Covington N. V., Cunningham C., Delarocque J., Devos L., Dhar A. R., Ding K. -F., Dong K., Dong Z., Dreyer N., Ekstrand C., Fardet T., Feleke B. E., Feurer T., Freitas A., Gao T., Giganti F., Grabowski P., Guerra-Mora J. R., Guo C., Guo X., Gupta H., He S., Heijne M., Heinemann S., Hogrebe A., Huang Z., Iskander-Rizk S., Iyer L. M., Jahan Y., James A. S., Joel E., Joffroy B., Jegousse C., Kambondo G., Karnati P., Kaya C., Ke A., Kelly D., Kickert R., Kidibule P. E., Kieselmann J. P., Kim H. J., Kitazawa T., Lamberts A., Liang H., Linn S. N., Litfin T., Liusuo W., Lygirou V., Mahato A. K., Mai Z. -M., Major R. W., Mali S., Mallis P., Mao W., Marvin-Dowle K., Mason L. D., Merideth B., Merino-Plaza M. J., Merlaen B., Messina R., Mishra A. K., Muhammad J., Musinguzi C., Nanou A., Naqash A., Nguyen J. T., Nguyen T. T. H., Ni D., Notcovich S., Ohst B., Ollivier Q. R., Osses D. F., Peng X., Plantinga A., Pulia M., Rafiq M., Raman A., Rawski R., Ray A., Razak L. A., Rudolf K., Rusch P., Sadoine M. L., Schmidt A., Schurr R., Searles S., Sharma S., Sheehan B., Shi C., Shohayeb B., Sommerlad A., Strehlow J., Sun X., Sundar R., Taherzadeh G., Tahir N. D. M., Tang J., Testa J., Tian Z., Tingting Q., Verheijen G. P., Vickstrom C., Wang T., Wang X., Wang Z., Wei P., Wilson A., Yassine A. -A., Yousefzadeh A., Zare A., Zeng Z., Zhang H., Zhou J., Zhu D., Adamo V., Adeyemo A. A., Aggelidou M., Al-Owaifeer A. M., Al-Riyami A. Z., Alzghari S. K., Andersen V., Angus K., Asaduzzaman M., Asady H., Ato D., Bai X., Baines R. L., Ballantyne M., Ban B., Beck J., Ben-Nafa W., Black E., Blancher A., Blankstein R., Bodagh N., Borges P., Brooks A., Brox-Ponce J., Brunetti A., Canham C. D., Carninci P., Carvajal R., Chang S. C., Chao J., Chatterjee P., Chen L., Chhatriwalla A. K., Chikowe I., Chuang T. -J., Collevatti R. G., Cornejo D. A. V., Cuenda A., Dao M., Dauga D., Deng Z., Devkota K., Doan L. V., Elewa Y. H. A., Fan D., Faruk M., Feifei S., Ferguson T. S., Fleres F., Foster E. J., Foster S., Furer T., Gao Y., Garcia-Rivera E. J., Gazdar A., George R. B., Ghosh S., Gianchecchi E., Gleason J. M., Hackshaw A., Hall A., Hall R., Harper P., Hogg W. E., Huang G., Hunter K. E., Ijzerman A. P., Jesus C., Jian G., Lewis J. S., Kanj S. S., Kaur H., Kheir F., Kichatova V. S., Kiyani M., Klein R., Kovesi T., Kraschnewski J. L., Kumar A. P., Labutin D., Lazo-Langner A., Leclercq G., Li M., Li Q., Li T., Liao W. -T., Liao Z. -Y., Lin J., Lizer J., Lobreglio G., Lowies C., Lu C., Majeed H., Martin A., Martinez-Sobrido L., Meresh E., Middelveen M., Mohebbi A., Mota J., Mozaheb Z., Muyaya L., Nandhakumar A., Ng S. H. X., Obeidat M., Oh D. -H., Owais M., Pace-Asciak P., Panwar A., Patterson C., Penagos-Tabaree F., Pianosi P. T., Pinzi V., Pridans C., Psaroulaki A., Pujala R. K., Pulido-Arjona L., Qi P. -F., Rahman P., Rai N. K., Rassaf T., Refardt J., Ricciardi W., Riess O., Rovas A., Sacks F. M., Saleh S., Sampson C., Schmutz A., Sepanski R., Sharma N., Spearman P., Subramaniapillai M., Swali R., Tan C. M., Tellechea J. I., Thomas L. -M., Tong X., Vavvas D. G., Veys R., Vitriol V., Wang H. -D., Waugh J., Webb S. A., Williams B. A., Workman A. D., Xiang T., Xie L. -X., Xu T., Yang C., Yoon J. G., Yuan C. M., Zaritsky A., Zhao H., Zuckerman H., Lyu R., and Pullan W.
- Abstract
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science.
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- 2019
8. Diet type and changes in food cravings following weight loss: Findings from the POUNDS LOST Trial
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Anton, S. D., Gallagher, J., Carey, V. J., Laranjo, N., Cheng, J., Champagne, C. M., Ryan, D. H., McManus, K., Loria, C. M., Bray, G. A., Sacks, F. M., and Williamson, D. A.
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- 2012
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9. Supplement to: Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates.
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Sacks, F M, Bray, G A, and Carey, V J
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- 2009
10. OA02.01. Effect of macronutrient composition of weight loss diets on reduction of the inflammatory marker hsCRP
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Nicklas J, Sacks F, Smith S, LeBoff M, Rood J, Bray G, and Ridker P
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Other systems of medicine ,RZ201-999 - Published
- 2012
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11. Effect of pravastatin on blood pressure in people with cardiovascular disease
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Tonelli, M, Sacks, F, Pfeffer, M, Lopez-Jimenez, F, Jhangri, G S, and Curhan, G
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- 2006
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12. Effect of diet composition on energy expenditure during weight loss: the POUNDS LOST Study
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Bray, G A, Smith, S R, DeJonge, L, de Souza, R, Rood, J, Champagne, C M, Laranjo, N, Carey, V, Obarzanek, E, Loria, C M, Anton, S D, Ryan, D H, Greenway, F L, Williamson, D, and Sacks, F M
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- 2012
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13. Subgroup analyses of POUNDS lost: women differ in weight loss response to macronutrient diet composition: T3:OS1.1
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Ryan, D H, Bray, G A, Carey, V, Anton, S, Champagne, C, Harshfield, B J, Laranjo, N, Williamson, D, and Sacks, F
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- 2010
14. Dietary Factors
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SACKS, F, primary
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- 2004
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15. Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials
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Fulcher, J, Mihaylova, B, O'Connell, R, Emberson, J, Blackwell, L, Reith, C, Koren, M, Tonkin, A, Ridker, P, Barnes, E, Ford, I, Kean, S, Trompet, S, Macfarlane, P, Cannon, C, Pedersen, TR, Wilhelmsen, L, LaRosa, J, Packard, C, Robertson, M, Young, R, Tobert, J, Flather, M, Goto, S, Kastelein, J, Newman, C, Shear, C, Varigos, J, White, H, Armitage, J, Davies, K, Halls, H, Harper, C, Herrington, W, Holland, L, Kirby, A, Oconnell, R, Preiss, D, Spata, E, Wilson, K, Lonn, E, Wanner, C, Koenig, W, Gotto, A, Kjekshus, J, Yusuf, S, Collins, R, Simes, J, Baigent, C, Keech, A, De Lemos, J, Braunwald, E, Blazing, M, Murphy, S, Downs, JR, Clearfield, M, Holdaas, H, Gordon, D, Davis, B, Dahlof, B, Poulter, N, Sever, P, Knopp, RH, Fellstrom, B, Jardine, A, Schmieder, R, Zannad, F, Colhoun, HM, Betteridge, DJ, Durrington, PN, Hitman, GA, Fuller, J, Neil, A, Sacks, F, Moye, L, Pfeffer, M, Hawkins, CM, Wedel, H, Wikstrand, J, Krane, V, Tavazzi, L, Maggioni, A, Marchioli, R, Tognoni, G, Franzosi, MG, Bowman, L, Landray, MJ, Parish, S, Peto, R, Sleight, P, Ridker, PM, Macmahon, S, Marschner, I, Shaw, J, Serruys, PW, Nakamura, H, Knatterud, G, Furberg, C, Byington, R, Sattar, N, and Jukema, JW
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medicine.medical_specialty ,Statin ,medicine.drug_class ,Atorvastatin ,030204 cardiovascular system & hematology ,ATORVASTATIN ,PURLs® ,Rate ratio ,Article ,03 medical and health sciences ,0302 clinical medicine ,Medicine, General & Internal ,Risk Factors ,Internal medicine ,General & Internal Medicine ,medicine ,Humans ,Rosuvastatin ,CORONARY-HEART-DISEASE ,030212 general & internal medicine ,Myocardial infarction ,ROSUVASTATIN ,Stroke ,ELDERLY-PATIENTS ,Aged ,Randomized Controlled Trials as Topic ,Aged, 80 and over ,RISK ,Science & Technology ,Cholesterol Treatment Trialists' Collaboration ,Vascular disease ,business.industry ,CHOLESTEROL ,Age Factors ,General Medicine ,11 Medical And Health Sciences ,medicine.disease ,R1 ,3. Good health ,LOWERING THERAPY ,Regimen ,MYOCARDIAL-INFARCTION ,Cardiovascular Diseases ,CARDIOVASCULAR-DISEASE ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,business ,PRIMARY PREVENTION ,Life Sciences & Biomedicine ,medicine.drug - Abstract
Background: Statin therapy has been shown to reduce major vascular events and vascular mortality in a wide range of individuals, but there is uncertainty about its efficacy and safety among older people. We undertook a meta-analysis of data from all large statin trials to compare the effects of statin therapy at different ages.Methods: In this meta-analysis, randomised trials of statin therapy were eligible if they aimed to recruit at least 1000 participants with a scheduled treatment duration of at least 2 years. We analysed individual participant data from 22 trials (n=134 537) and detailed summary data from one trial (n=12 705) of statin therapy versus control, plus individual participant data from five trials of more intensive versus less intensive statin therapy (n=39 612). We subdivided participants into six age groups (55 years or younger, 56–60 years, 61–65 years, 66–70 years, 71–75 years, and older than 75 years). We estimated effects on major vascular events (ie, major coronary events, strokes, and coronary revascularisations), cause-specific mortality, and cancer incidence as the rate ratio (RR) per 1·0 mmol/L reduction in LDL cholesterol. We compared proportional risk reductions in different age subgroups by use of standard χ2 tests for heterogeneity when there were two groups, or trend when there were more than two groups.Findings: 14 483 (8%) of 186 854 participants in the 28 trials were older than 75 years at randomisation, and the median follow-up duration was 4·9 years. Overall, statin therapy or a more intensive statin regimen produced a 21% (RR 0·79, 95% CI 0·77–0·81) proportional reduction in major vascular events per 1·0 mmol/L reduction in LDL cholesterol. We observed a significant reduction in major vascular events in all age groups. Although proportional reductions in major vascular events diminished slightly with age, this trend was not statistically significant (ptrend=0·06). Overall, statin or more intensive therapy yielded a 24% (RR 0·76, 95% CI 0·73–0·79) proportional reduction in major coronary events per 1·0 mmol/L reduction in LDL cholesterol, and with increasing age, we observed a trend towards smaller proportional risk reductions in major coronary events (ptrend=0·009). We observed a 25% (RR 0·75, 95% CI 0·73–0·78) proportional reduction in the risk of coronary revascularisation procedures with statin therapy or a more intensive statin regimen per 1·0 mmol/L lower LDL cholesterol, which did not differ significantly across age groups (ptrend=0·6). Similarly, the proportional reductions in stroke of any type (RR 0·84, 95% CI 0·80–0·89) did not differ significantly across age groups (ptrend=0·7). After exclusion of four trials which enrolled only patients with heart failure or undergoing renal dialysis (among whom statin therapy has not been shown to be effective), the trend to smaller proportional risk reductions with increasing age persisted for major coronary events (ptrend=0·01), and remained non-significant for major vascular events (ptrend=0·3). The proportional reduction in major vascular events was similar, irrespective of age, among patients with pre-existing vascular disease (ptrend=0·2), but appeared smaller among older than among younger individuals not known to have vascular disease (ptrend=0·05). We found a 12% (RR 0·88, 95% CI 0·85–0·91) proportional reduction in vascular mortality per 1·0 mmol/L reduction in LDL cholesterol, with a trend towards smaller proportional reductions with older age (ptrend=0·004), but this trend did not persist after exclusion of the heart failure or dialysis trials (ptrend=0·2). Statin therapy had no effect at any age on non-vascular mortality, cancer death, or cancer incidence.Interpretation: Statin therapy produces significant reductions in major vascular events irrespective of age, but there is less direct evidence of benefit among patients older than 75 years who do not already have evidence of occlusive vascular disease. This limitation is now being addressed by further trials.Funding: Australian National Health and Medical Research Council, National Institute for Health Research Oxford Biomedical Research Centre, UK Medical Research Council, and British Heart Foundation.
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- 2019
16. Serum Phosphate: A Novel Cardiovascular Risk Factor Even in Nonrenal Patients: Relation between Serum Phosphate Level and Cardiovascular Event Rate in People with Coronary Disease. Circulation 112: 2627-2633, 2005
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Tonelli, M., Sacks, F., Pfeffer, M., Gao, Z.H., and Curhan, G.
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- 2006
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17. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
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Brown, P., Zhou, Y., Tan, A. -C., El-Esawi, M. A., Liehr, T., Blanck, O., Gladue, D. P., Almeida, G. M. F., Cernava, T., Sorzano, C. O., Yeung, A. W. K., Engel, M. S., Chandrasekaran, A. R., Muth, T., Staege, M. S., Daulatabad, S. V., Widera, D., Zhang, J., Meule, A., Honjo, K., Pourret, O., Yin, C. -C., Zhang, Z., Cascella, M., Flegel, W. A., Goodyear, C. S., van Raaij, M. J., Bukowy-Bieryllo, Z., Campana, L. G., Kurniawan, N. A., Lalaouna, D., Huttner, F. J., Ammerman, B. A., Ehret, F., Cobine, P. A., Tan, E. -C., Han, H., Xia, W., Mccrum, C., Dings, R. P. M., Marinello, F., Nilsson, H., Nixon, B., Voskarides, K., Yang, L., Costa, V. D., Bengtsson-Palme, J., Bradshaw, W., Grimm, D. G., Kumar, N., Martis, E., Prieto, D., Sabnis, S. C., Amer, S. E. D. R., Liew, A. W. C., Perco, P., Rahimi, F., Riva, G., Zhang, C., Devkota, H. P., Ogami, K., Basharat, Z., Fierz, W., Siebers, R., Tan, K. H., Boehme, K. A., Brenneisen, P., Brown, J. A. L., Dalrymple, B. P., Harvey, D. 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H., Santos, M., Saudemont, A., Sava, G., Schrading, S., Schramm, A., Schreiber, M., Schuler, S., Schymkowitz, J., Sczyrba, A., Seib, K. L., Shi, H. -P., Shimada, T., Shin, J. -S., Shortt, C., Silveyra, P., Skinner, D., Small, I., Smeets, P. A. M., So, P. -W., Solano, F., Sonenshine, D. E., Song, J., Southall, T., Speakman, J. R., Srinivasan, M. V., Stabile, L. P., Stasiak, A., Steadman, K. J., Stein, N., Stephens, A. W., Stewart, D. I., Stine, K., Storlazzi, C., Stoynova, N. V., Strzalka, W., Suarez, O. M., Sultana, T., Sumant, A. V., Summers, M. J., Sun, G., Tacon, P., Tanaka, K., Tang, H., Tanino, Y., Targett-Adams, P., Tayebi, M., Tayyem, R., Tebbe, C. C., Telfer, E. E., Tempel, W., Teodorczyk-Injeyan, J. A., Thijs, G., Thorne, S., Thrift, A. G., Tiffon, C., Tinnefeld, P., Tjahjono, D. H., Tolle, F., Toth, E., Del Tredici, A. L., Tsapas, A., Tsirigotis, K., Turak, A., Tzotzos, G., Udo, E. E., Utsumi, T., Vaidyanathan, S., Vaillant, M., Valsesia, A., Vandenbroucke, R. E., Veiga, F. 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D., Braubach, O., Cai, Y., Campbell, M., Catry, T., Chen, X., Cheng, S., Chung, H. -J., Chavez-Fumagalli, M. A., Conway, A., Costa, B. M., Cyr, N., Dean, L. T., Denzel, M. S., Dlamini, S. V., Dudley, K. J., Dufies, M., Ecke, T., Eckweiler, D., Eixarch, E., El-Adawy, H., Emmrich, J. V., Eustace, A. J., Falter-Wagner, C. M., Farhoudi, R., Fuss, J., Gao, J., Gill, M. R., Gloyn, L., Goggs, R., Govinden, U., Greene, G., Greiff, V., Grundle, D. S., Gruneberg, P., Gumede, N., Haore, G., Harrison, P., Hoenner, X., Hojsgaard, D., Hori, H., Ikonomopoulou, M. P., Jeurissen, P., Johnson, D. M., Kabra, D., Kamagata, K., Karmakar, C., Kasian, O., Kaye, L. K., Khan, M. M., Kim, Y. -M., Kish, J. K., Kobold, S., Kohanbash, G., Kohls, G., Kugler, J. -M., Kumar, G., Lacy-Colson, J., Latif, A., Lauschke, V. M., Li, B., Lim, C. J., Liu, X., Lu, J. -J., Lu, Q., Mahavadi, P., Marzocchi, U., Mcgarrigle, C. A., van Meerten, T., Min, R., Moal, I., Molari, M., Molleman, L., Mondal, S. R., van de Mortel, T., Moss, W. N., Moultos, O. A., Mukherjee, M., Nakayama, K., Narayan, E., Navaratnarajah, Neumann, P. -A., Nie, J., Nie, Y., Niemeyer, F., Nolan, F., Nwaiwu, O., Oldenmenger, W. H., Olumayede, E., Ou, J., Pallebage-Gamarallage, M., Pearce, S. P., Pelkonen, T., Pelleri, M. C., Pereira, J. L., Pheko, M., Pinto, K. A., Piovesan, A., Pluess, M., Podolsky, I. M., Prescott, J., Qi, D., Qi, X., Raikou, V. D., Ranft, A., Rhodes, J., Rotge, J. -Y., Rowe, A. D., Saggar, M., Schuon, R. A., Shahid, S., Shalchyan, V., Shirvalkar, P., Shiryayev, O., Singh, J., Smout, M. J., Soares, A., Song, C., Srivastava, K., Srivastava, R. K., Sun, J., Szabo, A., Szymanski, W., Tai, C. N. P., Takeuchi, H., Tanadini-Lang, S., Tang, F., Tao, W., Theron, G., Tian, C. F., Tian, Y. -S., Tuttle, L. M., Valenti, A., Verlot, P., Walker, M., Wang, J., Welter, D., Winslade, M., Wu, D., Wu, Y. -R., Xiao, H., Xu, B., Xu, Z., Yang, D., Yang, M., Yankilevich, P., You, Y., Yu, C., Zhan, J., Zhang, G., Zhang, K., Zhang, T., Zhao, G., Zhao, J., Zhou, X., Zhu, Z., Ajani, P. A., Anazodo, U. C., Bagloee, S. A., Bail, K., Bar, I., Bathelt, J., Benkeser, D., Bernier, M. L., Blanchard, A. M., Boakye, D. W., Bonatsos, V., Boon, M. H., Bouboulis, G., Bromfield, E., Brown, J., Bul, K. C. M., Burton, K. J., Butkowski, E. G., Carroll, G., Chao, F., Charrier, E. E., Chen, Y. -C., Chenguang, Choi, J. R., Christoffersen, T., Comel, J. C., Cosse, C., Cui, Y., van Dessel, P., Dhaval, Diodato, D., Duffey, M., Dutt, A., Egea, L. G., El-Said, M., Faye, M., Fernandez-Fernandez, B., Foley, K. G., Founou, L. L., Fu, F., Gadelkareem, R. A., Galimov, E., Garip, G., Gemmill, A., Gouil, Q., Grey, J., Gridneva, Z., Grothe, M. J., Grebert, T., Guerrero, F., Guignard, L., Haenssgen, M. J., Hasler, D., Holgate, J. Y., Huang, A., Hulse-Kemp, A. M., Jean-Quartier, C., Jeon, S. -M., Jia, Y., Jutzeler, C., Kalatzis, P., Karim, M., Karsay, K., Keitel, A., Kempe, A., Keown, J. R., Khoo, C. M., Khwaja, N., Kievit, R. A., Kosanic, S., Koutoukidis, D. A., Kramer, P., Kumar, D., Kirag, N., Lanza, G., Le, T. D., Leem, J. W., Leightley, D., Leite, A., Lercher, L., Li, Y., Lim, R., Lima, L. R. A., Lin, L., Ling, T., Liu, Y., Liu, Z., Lu, Y., Lum, F. M., Luo, H., Machhi, J., Macleod, A., Macwan, I., Madala, H. R., Madani, N., de Maio, N., Makowiecki, K., Mallinson, D. J., Margelyte, R., Maria, C., Markonis, Y., Marsili, L., Mavoa, S., Mcwilliams, L., Megersa, M., Souto-Maior, C., Menichetti, J., Mercieca-Bebber, R., Miller, J. J., Minde, D. -P. M., Minges, A., Mishra, E., Mishra, V. R., Moores, C., Morrice, N., Moskalensky, A. E., Navarin, N., Negera, E., Nolet, P., Nordberg, A., Norden, R., Nowicki, J. P., Olova, N., Olszewski, P., Onzima, R., Pan, C. -L., Park, C., Park, D. I., Park, S., Patil, C. D., Pedro, S. A., Perry, S. R., Peter, J., Peterson, B. M., Pezzuolo, A., Pozdnyakov, I., Qian, S., Qin, L., Rafe, A., Raote, I., Raza, A., Rebl, H., Refai, O., Regan, T., Richa, T., Richardson, M. F., Robinson, K. R., Rossoni, L., Rouet, R., Safaei, S., Schneeberger, P. H. H., Schwotzer, D., Sebastian, A., Selinski, J., Seltmann, S., Sha, F., Shalev, N., Shang, J. -L., Singer, J., Singh, M., Smith, T., Solomon-Moore, E., Song, L., Soraggi, S., Stanley, R., Steckhan, N., Strobl, F., Subissi, L., Supriyanto, I., Surve, C. R., Suzuki, T., Syme, C., Sorelius, K., Tang, Y., Tantawy, M., Tennakoon, S., Teseo, S., Toelzer, C., Tomov, N., Tovar, M., Tran, L., Tripathi, S., Tuladhar, A. M., Ukubuiwe, A. C., Ung, C. O. L., Valgepea, K., Vatanparast, H., Vidal, A., Wang, Q., Watari, R., Webster, R., Wei, J., Wibowo, D., Wingenbach, T. S. H., Xavier, R. M., Xiao, S., Xiong, P., Xu, S., Yao, R., Yao, W., Yin, Q., Zaitsu, M., Zeineb, Z., Zhan, X. -Y., Zhang, R., Zhang, W., Zheng, S., Zhou, B., Ahmad, H., Akinwumi, S. A., Albery, G. F., Alhowimel, A., Ali, J., Alshehri, M., Alsuhaibani, M., Anikin, A., Azubuike, S. O., Bach-Mortensen, A., Baltiansky, L., Bartas, M., Belachew, K. Y., Bhardwaj, V., Binder, K., Bland, N. S., Boah, M., Bullen, B., Calabro', Giovanna Elisa, Callahan, T. J., Cao, B., Chalmers, K., Chang, W., Che, Z., Chen, A. T. Y., Chen, Z., Choi, Y., Chowdhury, M. A. K., Christensen, M. R., Cooke, R. S. C., Cottini, M., Covington, N. V., Cunningham, C., Delarocque, J., Devos, L., Dhar, A. R., Ding, K. -F., Dong, K., Dong, Z., Dreyer, N., Ekstrand, C., Fardet, T., Feleke, B. E., Feurer, T., Freitas, A., Gao, T., Gebremedhin, Giganti, F., Grabowski, P., Guerra-Mora, J. R., Guo, C., Guo, X., Gupta, H., He, S., Heijne, M., Heinemann, S., Hogrebe, A., Huang, Z., Iskander-Rizk, S., Iyer, L. M., Jahan, Y., James, A. S., Joel, E., Joffroy, B., Jegousse, C., Kambondo, G., Karnati, P., Kaya, C., Ke, A., Kelly, D., Kickert, R., Kidibule, P. E., Kieselmann, J. P., Kim, H. J., Kitazawa, T., Lamberts, A., Liang, H., Linn, S. N., Litfin, T., Liusuo, W., Lygirou, V., Mahato, A. K., Mai, Z. -M., Major, R. W., Mali, S., Mallis, P., Mao, W., Marvin-Dowle, K., Mason, L. D., Merideth, B., Merino-Plaza, M. J., Merlaen, B., Messina, R., Mishra, A. K., Muhammad, J., Musinguzi, C., Nanou, A., Naqash, A., Nguyen, J. T., Nguyen, T. T. H., Ni, D., Nida, Notcovich, S., Ohst, B., Ollivier, Q. R., Osses, D. F., Peng, X., Plantinga, A., Pulia, M., Rafiq, M., Raman, A., Raucher-Chene, Rawski, R., Ray, A., Razak, L. A., Rudolf, K., Rusch, P., Sadoine, M. L., Schmidt, A., Schurr, R., Searles, S., Sharma, S., Sheehan, B., Shi, C., Shohayeb, B., Sommerlad, A., Strehlow, J., Sun, X., Sundar, R., Taherzadeh, G., Tahir, N. D. M., Tang, J., Testa, J., Tian, Z., Tingting, Q., Verheijen, G. P., Vickstrom, C., Wang, T., Wang, X., Wang, Z., Wei, P., Wilson, A., Wyart, Yassine, A. -A., Yousefzadeh, A., Zare, A., Zeng, Z., Zhang, H., Zhou, J., Zhu, D., Adamo, V., Adeyemo, A. A., Aggelidou, M., Al-Owaifeer, A. M., Al-Riyami, A. Z., Alzghari, S. K., Andersen, V., Angus, K., Asaduzzaman, M., Asady, H., Ato, D., Bai, X., Baines, R. L., Ballantyne, M., Ban, B., Beck, J., Ben-Nafa, W., Black, E., Blancher, A., Blankstein, R., Bodagh, N., Borges, P., Brooks, A., Brox-Ponce, J., Brunetti, A., Canham, C. D., Carninci, P., Carvajal, R., Chang, S. C., Chao, J., Chatterjee, P., Chen, L., Chhatriwalla, A. K., Chikowe, I., Chuang, T. -J., Collevatti, R. G., Cornejo, D. A. V., Cuenda, A., Dao, M., Dauga, D., Deng, Z., Devkota, K., Doan, L. V., Elewa, Y. H. A., Fan, D., Faruk, M., Feifei, S., Ferguson, T. S., Fleres, F., Foster, E. J., Foster, S., Furer, T., Gao, Y., Garcia-Rivera, E. J., Gazdar, A., George, R. B., Ghosh, S., Gianchecchi, E., Gleason, J. M., Hackshaw, A., Hall, A., Hall, R., Harper, P., Hogg, W. E., Huang, G., Hunter, K. E., Ijzerman, A. P., Jesus, C., Jian, G., Lewis, J. S., Kanj, S. S., Kaur, H., Kheir, F., Kichatova, V. S., Kiyani, M., Klein, R., Kovesi, T., Kraschnewski, J. L., Kumar, A. P., Labutin, D., Lazo-Langner, A., Leclercq, G., Li, M., Li, Q., Li, T., Liao, W. -T., Liao, Z. -Y., Lin, J., Lizer, J., Lobreglio, G., Lowies, C., Lu, C., Majeed, H., Martin, A., Martinez-Sobrido, L., Meresh, E., Middelveen, M., Mohebbi, A., Mota, J., Mozaheb, Z., Muyaya, L., Nandhakumar, A., Ng, S. H. X., Obeidat, M., Oh, D. -H., Owais, M., Pace-Asciak, P., Panwar, A., Patterson, C., Penagos-Tabaree, F., Pianosi, P. T., Pinzi, V., Pridans, C., Psaroulaki, A., Pujala, R. K., Pulido-Arjona, L., Qi, P. -F., Rahman, P., Rai, N. K., Rassaf, T., Refardt, J., Ricciardi, Walter, Riess, O., Rovas, A., Sacks, F. M., Saleh, S., Sampson, C., Schmutz, A., Sepanski, R., Sharma, N., Spearman, P., Subramaniapillai, M., Swali, R., Tan, C. M., Tellechea, J. I., Thomas, L. -M., Tong, X., Vavvas, D. G., Veys, R., Vitriol, V., Wang, H. -D., Waugh, J., Webb, S. A., Williams, B. A., Workman, A. D., Xiang, T., Xie, L. -X., Xu, T., Yang, C., Yoon, J. G., Yuan, C. M., Zaritsky, A., Zhao, H., Zuckerman, H., Lyu, R., Pullan, W., Calabro G. E. (ORCID:0000-0003-0259-3797), and Ricciardi W. (ORCID:0000-0002-5655-688X)
- Abstract
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science.
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- 2019
18. Relative risks of Chronic Kidney Disease for mortality and End Stage Renal Disease across races is similar
- Author
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Wright, Jt, Appel, L, Greene, T, Astor, Bc, Chalmers, J, Macmahon, S, Woodward, M, Arima, H, Yatsuya, H, Yamashita, K, Toyoshima, H, Tamakoshi, K, Coresh, J, Matsushita, K, Atkins, Rc, Polkinghorne, Kr, Chadban, S, Shankar, A, Klein, R, Klein, Be, Lee, Ke, Wang, H, Wang, F, Zhang, L, Zuo, L, Liu, L, Levin, A, Djurdjev, O, Tonelli, M, Sacks, F, Curhan, G, Shlipak, M, Peralta, C, Katz, R, Fried, L, Iso, H, Kitamura, A, Ohira, T, Yamagishi, K, Jafar, Th, Islam, M, Hatcher, J, Poulter, N, Chaturvedi, N, Landray, Mj, Emberson, J, Townend, J, Wheeler, Dc, Rothenbacher, D, Brenner, H, Müller, H, Schöttker, B, Fox, Cs, Hwang, Sj, Meigs, Jb, Perkins, Rm, Fluck, N, Clark, L, Prescott, Gj, Marks, A, Black, C, Cirillo, Massimo, Hallan, S, Aasard, K, Øien, Cm, Radtke, M, Irie, F, Sairenchi, T, Smith, Dh, Weiss, J, Johnson, Es, Thorp, Ml, Collins, Aj, Vassalotti, Ja, Li, S, Chen, Sc, Lee, Bj, Wetzels, Jf, Blankestijn, Pj, Van, Zuilen, Sarnak, M, Levey, As, Inker, L, Menon, V, Fried, Lf, Kramer, H, Boer, De, I, Kronenberg, F, Kollerits, B, Ritz, E, Roderick, P, Nitsch, D, Fletcher, A, Bulpitt, C, Ishani, A, Neaton, J, Froissart, M, Stengel, B, Metzger, M, Haymann, Jp, Houillier, P, Flamant, M, Ohkubo, T, Metoki, H, Nakayama, M, Kikuya, M, Imai, Y, Iseki, K, Nelson, Rg, Knowler, Wc, Gansevoort, Rt, Jong, De, Mahmoodi, Bk, Bakker, Sj, Bernardo, R, Kaur, Jassal, S, Barrett Connor, E, Bergstrom, J, Heerspink, Hj, Brenner, B, Zeeuw, De, D, Warnock, Dg, Muntner, P, Judd, S, Mcclellan, W, Jee, Sh, Kimm, H, Jo, J, Mok, Y, Choi, E, Rossing, P, Parving, Hh, Tangri, N, Naimark, D, Wen, Cp, Wen, Sf, Tsao, Ck, Tsai, Mk, Wu, Be, Ärnlöv, J, Lannfelt, L, Larsson, A, Bilo, Hj, Joosten, H, Kleefstra, N, Groenier, Kh, Drion, I, Hemmelgarn, Br, Ballew, Sh, Grams, M, Sang, Y, Camarata, L, Hui, X, Seltzer, J, Winegrad, H., Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Wright, Jt, Jr, Appel, L, Greene, T, Astor, Bc, Chalmers, J, Macmahon, S, Woodward, M, Arima, H, Yatsuya, H, Yamashita, K, Toyoshima, H, Tamakoshi, K, Coresh, J, Matsushita, K, Atkins, Rc, Polkinghorne, Kr, Chadban, S, Shankar, A, Klein, R, Klein, Be, Lee, Ke, Wang, H, Wang, F, Zhang, L, Zuo, L, Liu, L, Levin, A, Djurdjev, O, Tonelli, M, Sacks, F, Curhan, G, Shlipak, M, Peralta, C, Katz, R, Fried, L, Iso, H, Kitamura, A, Ohira, T, Yamagishi, K, Jafar, Th, Islam, M, Hatcher, J, Poulter, N, Chaturvedi, N, Landray, Mj, Emberson, J, Townend, J, Wheeler, Dc, Rothenbacher, D, Brenner, H, Müller, H, Schöttker, B, Fox, C, Hwang, Sj, Meigs, Jb, Perkins, Rm, Fluck, N, Clark, L, Prescott, Gj, Marks, A, Black, C, Cirillo, Massimo, Hallan, S, Aasard, K, Øien, Cm, Radtke, M, Irie, F, Sairenchi, T, Smith, Dh, Weiss, J, Johnson, E, Thorp, Ml, Collins, Aj, Vassalotti, Ja, Li, S, Chen, Sc, Lee, Bj, Wetzels, Jf, Blankestijn, Pj, Van, Zuilen, Ad, Sarnak, M, Levey, A, Inker, L, Menon, V, Fried, Lf, Kramer, H, De, Boer, I, Kronenberg, F, Kollerits, B, Ritz, E, Roderick, P, Nitsch, D, Fletcher, A, Bulpitt, C, Ishani, A, Neaton, J, Froissart, M, Stengel, B, Metzger, M, Haymann, Jp, Houillier, P, Flamant, M, Ohkubo, T, Metoki, H, Nakayama, M, Kikuya, M, Imai, Y, Iseki, K, Nelson, Rg, Knowler, Wc, Gansevoort, Rt, De, Jong, Pe, Mahmoodi, Bk, Bakker, Sj, Bernardo, R, Kaur, Jassal, S, Barrett Connor, E, Bergstrom, J, Heerspink, Hj, Brenner, B, De, Zeeuw, D, Warnock, Dg, Muntner, P, Judd, S, Mcclellan, W, Jee, Sh, Kimm, H, Jo, J, Mok, Y, Choi, E, Rossing, P, Parving, Hh, Tangri, N, Naimark, D, Wen, Cp, Wen, Sf, Tsao, Ck, Tsai, Mk, Be, Wu, Ärnlöv, J, Lannfelt, L, Larsson, A, Bilo, Hj, Joosten, H, Kleefstra, N, Groenier, Kh, Drion, I, Hemmelgarn, Br, Ballew, Sh, Grams, M, Sang, Y, Camarata, L, Hui, X, Seltzer, J, and Winegrad, H.
- Subjects
Male ,GLOMERULAR-FILTRATION-RATE ,Cohort Studies ,Risk Factors ,eGFR ,Odds Ratio ,ASSOCIATIONS ,African Continental Ancestry Group ,Aged, 80 and over ,education.field_of_study ,end-stage renal disease ,Hazard ratio ,PROTEINURIA ,Urology & Nephrology ,Middle Aged ,CKD-EPI EQUATION ,3. Good health ,PREVALENCE ,Nephrology ,Cardiovascular Diseases ,Creatinine ,ethnicity ,Female ,medicine.symptom ,epidemiology and outcomes ,Glomerular Filtration Rate ,Asian Continental Ancestry Group ,Adult ,medicine.medical_specialty ,Population ,European Continental Ancestry Group ,Renal function ,Black People ,ALL-CAUSE ,Article ,White People ,End stage renal disease ,Asian People ,Internal medicine ,medicine ,Chronic Kidney Disease Prognosis Consortium ,Albuminuria ,Humans ,Renal Insufficiency, Chronic ,education ,Aged ,business.industry ,1103 Clinical Sciences ,Odds ratio ,POPULATION COHORTS ,medicine.disease ,INDIVIDUALS ,Endocrinology ,Relative risk ,COLLABORATIVE METAANALYSIS ,mortality risk ,Kidney Failure, Chronic ,Renal disorders Radboud Institute for Health Sciences [Radboudumc 11] ,business ,HIGHER ALBUMINURIA ,chronic kidney disease ,Kidney disease - Abstract
Item does not contain fulltext Some suggest race-specific cutpoints for kidney measures to define and stage chronic kidney disease (CKD), but evidence for race-specific clinical impact is limited. To address this issue, we compared hazard ratios of estimated glomerular filtration rates (eGFR) and albuminuria across races using meta-regression in 1.1 million adults (75% Asians, 21% Whites, and 4% Blacks) from 45 cohorts. Results came mainly from 25 general population cohorts comprising 0.9 million individuals. The associations of lower eGFR and higher albuminuria with mortality and end-stage renal disease (ESRD) were largely similar across races. For example, in Asians, Whites, and Blacks, the adjusted hazard ratios (95% confidence interval) for eGFR 45-59 versus 90-104 ml/min per 1.73 m(2) were 1.3 (1.2-1.3), 1.1 (1.0-1.2), and 1.3 (1.1-1.7) for all-cause mortality, 1.6 (1.5-1.7), 1.4 (1.2-1.7), and 1.4 (0.7-2.9) for cardiovascular mortality, and 27.6 (11.1-68.7), 11.2 (6.0-20.9), and 4.1 (2.2-7.5) for ESRD, respectively. The corresponding hazard ratios for urine albumin-to-creatinine ratio 30-299 mg/g or dipstick 1+ versus an albumin-to-creatinine ratio under 10 or dipstick negative were 1.6 (1.4-1.8), 1.7 (1.5-1.9), and 1.8 (1.7-2.1) for all-cause mortality, 1.7 (1.4-2.0), 1.8 (1.5-2.1), and 2.8 (2.2-3.6) for cardiovascular mortality, and 7.4 (2.0-27.6), 4.0 (2.8-5.9), and 5.6 (3.4-9.2) for ESRD, respectively. Thus, the relative mortality or ESRD risks of lower eGFR and higher albuminuria were largely similar among three major races, supporting similar clinical approach to CKD definition and staging, across races.
- Published
- 2014
19. Fibrinolytic potential is significantly increased by oestrogen treatment in postmenopausal women with mild dyslipidaemia
- Author
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Gebara, O C E, Mittleman, M A, Walsh, B W, Lipinska, I, Welty, F K, Bellotti, G, Muller, J E, Sacks, F K, and Tofler, G H
- Published
- 1998
20. Cholesterol And Total Mortality: Need For Larger Trials
- Author
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Collins, R., Keech, A., Peto, R., Sleight, P., Kjekshus, J., Wilhelmsen, I., MacMahon, S., Shaw, J., Simes, J., Braunwald, E., Buring, J., Hennekens, C., Pfeffer, M., Sacks, F., Probstfield, J., Yusuf, S., Downs, J. R., Gotto, A., Cobbe, S., Ford, I., and Shepherd, J.
- Published
- 1992
21. PROTOCOL FOR A PROSPECTIVE COLLABORATIVE OVERVIEW OF ALL CURRENT AND PLANNED RANDOMIZED TRIALS OF CHOLESTEROL TREATMENT REGIMENS
- Author
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Downs, J, Gotto, A, Clearfield, M, Gordon, D, Manolio, T, Goldbourt, U, Kaplinsky, E, Moye, L, Sacks, F, Pfeffer, M, Hawkins, C, Braunwald, E, Franzosi, M, Maggioni, A, Tognoni, G, Robins, S, Rubins, H, Simes, J, Keech, A, Macmahon, S, Tonkin, A, Yusuf, S, Flather, M, and Collins, R
- Published
- 2016
22. AT-300, a calcium modulator, improves muscle force production and decreases muscle degeneration in D2-mdx model of Duchenne muscular dystrophy
- Author
-
Bush, E., primary, Ward, C., additional, Suchyna, T., additional, Sacks, F., additional, Blaustein, M., additional, and Escolar, D., additional
- Published
- 2017
- Full Text
- View/download PDF
23. Markers of dietary protein intake are associated with successful weight loss in the POUNDS Lost trial
- Author
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Bray, G. A., primary, Ryan, D. H., additional, Johnson, W., additional, Champagne, C. M., additional, Johnson, C. M., additional, Rood, J., additional, Williamson, D. A., additional, and Sacks, F. M., additional
- Published
- 2017
- Full Text
- View/download PDF
24. Genetic Modification of the Beneficial Effect of Alcohol Consumption on HDL Levels and Coronary Heart Disease
- Author
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Hines, L.M., Stampfer, M.J., Ma, J., Gaziano, J.M., Ridker, P.M., Hankinson, S.E., Sacks, F., Rimm, E.B., and Hunter, D.J.
- Subjects
Cholesterol, HDL -- Genetic aspects ,Drinking of alcoholic beverages -- Health aspects ,Coronary heart disease -- Genetic aspects ,Biological sciences - Published
- 2000
25. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials
- Author
-
Mihaylova, B., Emberson, J., Blackwell, L., Keech, A., Simes, J., Barnes, E.H., Voysey, M., Gray, A., Collins, R., Baigent, C., Lemos, J. de, Braunwald, E., Blazing, M., Murphy, S., Downs, J.R., Gotto, A., Clearfield, M., Holdaas, H., Gordon, D., Davis, B., Koren, M., Dahlof, B., Poulter, N., Sever, P., Knopp, R.H., Fellstrom, B., Jardine, A., Schmieder, R., Zannad, F., Goldbourt, U., Kaplinsky, E., Colhoun, H.M., Betteridge, D.J., Durrington, P.N., Hitman, G.A., Fuller, J., Neil, A., Wanner, C., Krane, V., Sacks, F., Moye, L., Pfeffer, M., Hawkins, C.M., Kjekshus, J., Wedel, H., Wikstrand, J., Barter, P., Tavazzi, L., Maggioni, A., Marchioli, R., Tognoni, G., Franzosi, M.G., Bloomfield, H., Robins, S., Armitage, J., Parish, S., Peto, R., Sleight, P., Pedersen, T.R., Ridker, P.M., Holman, R., Meade, T., MacMahon, S., Marschner, I., Tonkin, A., Shaw, J., Serruys, P.W., Nakamura, H., Knatterud, G., Furberg, C., Byington, R., Macfarlane, P., Cobbe, S., Ford, I., Murphy, M., Blauw, G.J., Packard, C., Shepherd, J., Pedersen, T., Wilhelmsen, L., Cannon, C., Bowman, L., Landray, M., Rosa, J. la, Rossouw, J., Probstfield, J., and Cholesterol Treatment Trialists
- Published
- 2012
26. Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses
- Author
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Trompet, S., Craen, A.J.M. de, Postmus, I., Ford, I., Sattar, N., Caslake, M., Stott, D.J., Buckley, B.M., Sacks, F., Devlin, J.J., Slagboom, P.E., Westendorp, R.G.J., Jukema, J.W., and PROSPER Study Grp
- Subjects
lcsh:Internal medicine ,lcsh:QH426-470 ,Single-nucleotide polymorphism ,Genome-wide association study ,030204 cardiovascular system & hematology ,Biology ,Population stratification ,Polymorphism, Single Nucleotide ,Pharmacogenetic Study ,Placebos ,03 medical and health sciences ,0302 clinical medicine ,Genetic variation ,Genetics ,Humans ,Genetics(clinical) ,Prospective Studies ,International HapMap Project ,lcsh:RC31-1245 ,Genetics (clinical) ,Aged ,Pravastatin ,030304 developmental biology ,0303 health sciences ,3. Good health ,Lipoproteins, LDL ,lcsh:Genetics ,Pharmacogenetics ,lipids (amino acids, peptides, and proteins) ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Imputation (genetics) ,Genome-Wide Association Study ,Research Article - Abstract
Background The PHArmacogenetic study of Statins in the Elderly at risk (PHASE) is a genome wide association study in the PROspective Study of Pravastatin in the Elderly at risk for vascular disease (PROSPER) that investigates the genetic variation responsible for the individual variation in drug response to pravastatin. Statins lower LDL-cholesterol in general by 30%, however not in all subjects. Moreover, clinical response is highly variable and adverse effects occur in a minority of patients. In this report we first describe the rationale of the PROSPER/PHASE project and second show that the PROSPER/PHASE study can be used to study pharmacogenetics in the elderly. Methods The genome wide association study (GWAS) was conducted using the Illumina 660K-Quad beadchips following manufacturer's instructions. After a stringent quality control 557,192 SNPs in 5,244 subjects were available for analysis. To maximize the availability of genetic data and coverage of the genome, imputation up to 2.5 million autosomal CEPH HapMap SNPs was performed with MACH imputation software. The GWAS for LDL-cholesterol is assessed with an additive linear regression model in PROBABEL software, adjusted for age, sex, and country of origin to account for population stratification. Results Forty-two SNPs reached the GWAS significant threshold of p = 5.0e-08 in 5 genomic loci (APOE/APOC1; LDLR; FADS2/FEN1; HMGCR; PSRC1/CELSR5). The top SNP (rs445925, chromosome 19) with a p-value of p = 2.8e-30 is located within the APOC1 gene and near the APOE gene. The second top SNP (rs6511720, chromosome 19) with a p-value of p = 5.22e-15 is located within the LDLR gene. All 5 genomic loci were previously associated with LDL-cholesterol levels, no novel loci were identified. Replication in WOSCOPS and CARE confirmed our results. Conclusion With the GWAS in the PROSPER/PHASE study we confirm the previously found genetic associations with LDL-cholesterol levels. With this proof-of-principle study we show that the PROSPER/PHASE study can be used to investigate genetic associations in a similar way to population based studies. The next step of the PROSPER/PHASE study is to identify the genetic variation responsible for the variation in LDL-cholesterol lowering in response to statin treatment in collaboration with other large trials.
- Published
- 2011
27. Replication of LDL SWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses
- Author
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Trompet, S., de Craen, A.J.M., Postmus, I., Ford, I., Sattar, N., Caslake, M., Stott, D.J., Buckley, B.M., Sacks, F., Devlin, J.J., Slagboom, P.E., Westendorp, R.G.J., and Jukema, J.W.
- Subjects
lipids (amino acids, peptides, and proteins) - Abstract
Background: The PHArmacogenetic study of Statins in the Elderly at risk (PHASE) is a genome wide association study in the PROspective Study of Pravastatin in the Elderly at risk for vascular disease (PROSPER) that investigates the genetic variation responsible for the individual variation in drug response to pravastatin. Statins lower LDL-cholesterol in general by 30%, however not in all subjects. Moreover, clinical response is highly variable and adverse effects occur in a minority of patients. In this report we first describe the rationale of the PROSPER/PHASE project and second show that the PROSPER/PHASE study can be used to study pharmacogenetics in the elderly.\ud \ud Methods: The genome wide association study (GWAS) was conducted using the Illumina 660K-Quad beadchips following manufacturer's instructions. After a stringent quality control 557,192 SNPs in 5,244 subjects were available for analysis. To maximize the availability of genetic data and coverage of the genome, imputation up to 2.5 million autosomal CEPH HapMap SNPs was performed with MACH imputation software. The GWAS for LDL-cholesterol is assessed with an additive linear regression model in PROBABEL software, adjusted for age, sex, and country of origin to account for population stratification.\ud \ud Results: Forty-two SNPs reached the GWAS significant threshold of p = 5.0e-08 in 5 genomic loci (APOE/APOC1; LDLR; FADS2/FEN1; HMGCR; PSRC1/CELSR5). The top SNP (rs445925, chromosome 19) with a p-value of p = 2.8e-30 is located within the APOC1 gene and near the APOE gene. The second top SNP (rs6511720, chromosome 19) with a p-value of p = 5.22e-15 is located within the LDLR gene. All 5 genomic loci were previously associated with LDL-cholesterol levels, no novel loci were identified. Replication in WOSCOPS and CARE confirmed our results.\ud \ud Conclusion: With the GWAS in the PROSPER/PHASE study we confirm the previously found genetic associations with LDL-cholesterol levels. With this proof-of-principle study we show that the PROSPER/PHASE study can be used to investigate genetic associations in a similar way to population based studies. The next step of the PROSPER/PHASE study is to identify the genetic variation responsible for the variation in LDL-cholesterol lowering in response to statin treatment in collaboration with other large trials.
- Published
- 2011
28. The residual risk reduction initiative: A call to action to reduce residual vascular risk in dyslipidaemic patients ( Review )
- Author
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Fruchart, J. C., Sacks, F. M., Hermans, M. P., Assmann, G., Brown, W. V., Ceska, R., Chapman, M. J., Dodson, P. M., Fioretto, Paola, Ginsberg, H. N., Kadowaki, T., Lablanche, J. M., Marx, N., Plutzky, J., Reiner, Z., Rosenson, R. S., Staels, B., Stock, J. K., Sy, R., Wanner, C., Zambon, Alberto, and Zimmet, P.
- Published
- 2010
29. The Residual Risk Reduction Initiative: A call to action to reduce residual vascular risk in dyslipidemic patients. A position paper by the Residual Risk Reduction Initiative (R3I)
- Author
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Fruchart, J-C., Sacks, F., Hermans, M.P., Assmann, G., Brown, V.W., Ceska, R., Chapman, M.J., Dodson, P.M., Fioretto, P., Ginsberg, H.N. Kadowaki, T. Lablanche, J-M., Marx, N., Plutzky, J., Reiner, Željko, Rosenson, R.S., Smith, S.C. Jr., Staels, B., Stock, J.Kk, Sy, R., Wanner, C., Zambon, A., and Zimmet, P.
- Subjects
dyslipidaemia ,residual risk ,nutritional and metabolic diseases ,lipids (amino acids, peptides, and proteins) - Abstract
Despite current standards of care aimed at achieving targets for low-density lipoprotein (LDL) cholesterol, blood pressure and glycaemia, dyslipidaemic patients remain at high residual risk of vascular events. Atherogenic dyslipidaemia, specifically elevated triglycerides and low levels of high-density lipoprotein (HDL) cholesterol, often with elevated apolipoprotein B and non-HDL cholesterol, is common in patients with established cardiovascular disease, type 2 diabetes, obesity or metabolic syndrome and is associated with macrovascular and microvascular residual risk.
- Published
- 2008
30. P.318 - AT-300, a calcium modulator, improves muscle force production and decreases muscle degeneration in D2-mdx model of Duchenne muscular dystrophy
- Author
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Bush, E., Ward, C., Suchyna, T., Sacks, F., Blaustein, M., and Escolar, D.
- Published
- 2017
- Full Text
- View/download PDF
31. Lifestyle Changes to Reduce Cardiovascular Risk
- Author
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Mendive, J., primary, McGregor, E., additional, and Sacks, F., additional
- Full Text
- View/download PDF
32. Summary of the scientific conference on dietary fatty acids and cardiovascular health: conference summary from the nutrition committee of the American Heart Association
- Author
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Kris-Etherton, P., Daniels, S.R., Eckel, R.H., Engler, M., Howard, B.V., Krauss, R.M., Lichtenstein, A.H., Sacks, F., St. Jeor, S., Stampfer, M., Grundy, S.M., and Appel, L.J.
- Subjects
Cardiovascular diseases ,Risk factors ,AHA Conference Proceedings ,Humane Voeding & Gezondheid ,Fatty acids ,VLAG ,Human Nutrition & Health ,Diet - Published
- 2001
33. Lack of effect of lowering LDL cholesterol on cancer: Meta-analysis of individual data from 175,000 people in 27 randomised trials of statin therapy
- Author
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Emberson, JR, Kearney, PM, Blackwell, L, Newman, C, Reith, C, Bhala, N, Holland, L, Peto, R, Keech, A, Collins, R, Simes, J, Baigent, C, De Lemos, J, Braunwald, E, Blazing, M, Murphy, S, Downs, JR, Gotto, A, Clearfield, M, Holdaas, H, Gordon, D, Davis, B, Koren, M, Dahlof, B, Poulter, N, Sever, P, Knopp, RH, Fellström, B, Jardine, A, Schmieder, R, Zannad, F, Goldbourt, U, Kaplinsky, E, Colhoun, HM, Betteridge, DJ, Durrington, PN, Hitman, GA, Fuller, J, Neil, A, Wanner, C, Krane, V, Sacks, F, Moyé, L, Pfeffer, M, Hawkins, CM, Kjekshus, J, Wedel, H, Wikstrand, J, Tavazzi, L, Maggioni, A, Marchioli, R, Tognoni, G, Franzosi, MG, Armitage, J, Parish, S, Sleight, P, Pedersen, TR, Ridker, PM, MacMahon, S, Marschner, I, Tonkin, A, Shaw, J, Serruys, PW, Nakamura, H, Knatterud, G, Furberg, C, Byington, R, Macfarlane, P, Cobbe, S, Ford, I, Murphy, M, Blauw, GJ, Packard, C, Shepherd, J, Wilhelmsen, L, Cannon, C, Bowman, L, La Rosa, J, Flather, M, Kastelein, J, Shear, C, Tobert, J, Varigos, J, White, H, Yusuf, S, Baxter, A, Barnes, EH, Buck, G, Herrington, WG, Kirby, A, Lewis, DA, Mellies, M, McGovern, M, Barclay, J, Belder, R, Mitchell, Y, Musliner, T, Ansquer, JC, Llewellyn, M, Bortolini, M, Emberson, JR, Kearney, PM, Blackwell, L, Newman, C, Reith, C, Bhala, N, Holland, L, Peto, R, Keech, A, Collins, R, Simes, J, Baigent, C, De Lemos, J, Braunwald, E, Blazing, M, Murphy, S, Downs, JR, Gotto, A, Clearfield, M, Holdaas, H, Gordon, D, Davis, B, Koren, M, Dahlof, B, Poulter, N, Sever, P, Knopp, RH, Fellström, B, Jardine, A, Schmieder, R, Zannad, F, Goldbourt, U, Kaplinsky, E, Colhoun, HM, Betteridge, DJ, Durrington, PN, Hitman, GA, Fuller, J, Neil, A, Wanner, C, Krane, V, Sacks, F, Moyé, L, Pfeffer, M, Hawkins, CM, Kjekshus, J, Wedel, H, Wikstrand, J, Tavazzi, L, Maggioni, A, Marchioli, R, Tognoni, G, Franzosi, MG, Armitage, J, Parish, S, Sleight, P, Pedersen, TR, Ridker, PM, MacMahon, S, Marschner, I, Tonkin, A, Shaw, J, Serruys, PW, Nakamura, H, Knatterud, G, Furberg, C, Byington, R, Macfarlane, P, Cobbe, S, Ford, I, Murphy, M, Blauw, GJ, Packard, C, Shepherd, J, Wilhelmsen, L, Cannon, C, Bowman, L, La Rosa, J, Flather, M, Kastelein, J, Shear, C, Tobert, J, Varigos, J, White, H, Yusuf, S, Baxter, A, Barnes, EH, Buck, G, Herrington, WG, Kirby, A, Lewis, DA, Mellies, M, McGovern, M, Barclay, J, Belder, R, Mitchell, Y, Musliner, T, Ansquer, JC, Llewellyn, M, and Bortolini, M
- Abstract
© 2012 CTT Collaboration. Background: Statin therapy reduces the risk of occlusive vascular events, but uncertainty remains about potential effects on cancer. We sought to provide a detailed assessment of any effects on cancer of lowering LDL cholesterol (LDL-C) with a statin using individual patient records from 175,000 patients in 27 large-scale statin trials. Methods and Findings: Individual records of 134,537 participants in 22 randomised trials of statin versus control (median duration 4.8 years) and 39,612 participants in 5 trials of more intensive versus less intensive statin therapy (median duration 5.1 years) were obtained. Reducing LDL-C with a statin for about 5 years had no effect on newly diagnosed cancer or on death from such cancers in either the trials of statin versus control (cancer incidence: 3755 [1.4% per year [py]] versus 3738 [1.4% py], RR 1.00 [95% CI 0.96-1.05]; cancer mortality: 1365 [0.5% py] versus 1358 [0.5% py], RR 1.00 [95% CI 0.93-1.08]) or in the trials of more versus less statin (cancer incidence: 1466 [1.6% py] vs 1472 [1.6% py], RR 1.00 [95% CI 0.93-1.07]; cancer mortality: 447 [0.5% py] versus 481 [0.5% py], RR 0.93 [95% CI 0.82-1.06]). Moreover, there was no evidence of any effect of reducing LDL-C with statin therapy on cancer incidence or mortality at any of 23 individual categories of sites, with increasing years of treatment, for any individual statin, or in any given subgroup. In particular, among individuals with low baseline LDL-C (<2 mmol/L), there was no evidence that further LDL-C reduction (from about 1.7 to 1.3 mmol/L) increased cancer risk (381 [1.6% py] versus 408 [1.7% py]; RR 0.92 [99% CI 0.76-1.10]). Conclusions: In 27 randomised trials, a median of five years of statin therapy had no effect on the incidence of, or mortality from, any type of cancer (or the aggregate of all cancer).
- Published
- 2012
34. Race, Plasma Renin Activity, and Morning Blood Pressure Surge--Results From the Dietary Approaches to Stop Hypertension Trial
- Author
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Mc Causland, F. R., primary, McMullan, C. J., additional, Sacks, F. M., additional, and Forman, J. P., additional
- Published
- 2013
- Full Text
- View/download PDF
35. PROTOCOL FOR A PROSPECTIVE COLLABORATIVE OVERVIEW OF ALL CURRENT AND PLANNED RANDOMIZED TRIALS OF CHOLESTEROL TREATMENT REGIMENS
- Author
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DOWNS, J, GOTTO, A, CLEARFIELD, M, GORDON, D, MANOLIO, T, GOLDBOURT, U, KAPLINSKY, E, MOYE, L, SACKS, F, PFEFFER, M, HAWKINS, C, BRAUNWALD, E, FRANZOSI, M, MAGGIONI, A, TOGNONI, G, ROBINS, S, RUBINS, H, SIMES, J, KEECH, A, MACMAHON, S, TONKIN, A, YUSUF, S, FLATHER, M, COLLINS, R, ARMITAGE, J, BAIGENT, C, PETO, R, SLEIGHT, P, KNATTERUD, G, KJEKSHUS, J, PEDERSEN, T, WILHELMSEN, L, ROUSSOUW, J, PROBSTFIELD, J, COBBE, S, MACFARLANE, P, and SHEPHERD, J
- Published
- 1995
36. MEDITERRANEAN DIET PYRAMID - A CULTURAL MODEL FOR HEALTHY EATING
- Author
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WILLETT, WC SACKS, F TRICHOPOULOU, A DRESCHER, G and FERROLUZZI, A HELSING, E TRICHOPOULOS, D
- Subjects
food and beverages - Abstract
We present a food pyramid that reflects Mediterranean dietary traditions, which historically have been associated with good health. This Mediterranean diet pyramid is based on food patterns typical of Crete, much of the rest of Greece, and southern Italy in the early 1960s, where adult life expectancy was among the highest in the world and rates of coronary heart disease, certain cancers, and other diet-related chronic diseases were among the lowest. Work in the field or kitchen resulted in a lifestyle that included regular physical activity and was associated with low rates of obesity. The diet is characterized by abundant plant foods (fruit, vegetables, breads, other forms of cereals, potatoes, beans, nuts, and seeds), fresh fruit as the typical daily dessert, olive oil as the principal source of fat, dairy products (principally cheese and yogurt), and fish and poultry consumed in low to moderate amounts, zero to four eggs consumed weekly, red meat consumed in low amounts, and wine consumed in low to moderate amounts, normally with meals. This diet is low in saturated fat (less than or equal to 7-8% of energy), with total fat ranging from 35% of energy throughout the region. The pyramid describes a dietary pattern that is attractive for its famous palatability as well as for its health benefits.
- Published
- 1995
37. Effect of diet composition on energy expenditure during weight loss: the POUNDS LOST Study
- Author
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Bray, G A, primary, Smith, S R, additional, DeJonge, L, additional, de Souza, R, additional, Rood, J, additional, Champagne, C M, additional, Laranjo, N, additional, Carey, V, additional, Obarzanek, E, additional, Loria, C M, additional, Anton, S D, additional, Ryan, D H, additional, Greenway, F L, additional, Williamson, D, additional, and Sacks, F M, additional
- Published
- 2011
- Full Text
- View/download PDF
38. Abstract: P937 SHIFT FROM APOE TO APOCIII IN TRIGLYCERIDE-RICH LIPOPROTEIN METABOLISM ESTABLISHES HYPERTRIGLYCERIDEMIA
- Author
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Zheng, C, primary, Khoo, C, additional, Furtado, J, additional, and Sacks, F, additional
- Published
- 2009
- Full Text
- View/download PDF
39. Abstract: 1071 PLASMA PENTRAXIN 3 LEVELS REFLECT METABOLIC SYNDROME IN PATIENTS WITH CORONARY ARTERY DISEASE
- Author
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Miyazaki, T, primary, Chiuve, S, additional, Sacks, F, additional, Ridker, P, additional, Libby, P, additional, Sagara, M, additional, and Aikawa, M, additional
- Published
- 2009
- Full Text
- View/download PDF
40. Abstract: 1472 APOC-III CONTAINING LIPOPROTEINS AND RISK OF CORONARY HEART DISEASE
- Author
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Mendivil, C, primary, Rimm, E, additional, Furtado, J, additional, Chiuve, S, additional, and Sacks, F, additional
- Published
- 2009
- Full Text
- View/download PDF
41. Associations Between Macronutrient Intake and Self-reported Appetite and Fasting Levels of Appetite Hormones: Results From the Optimal Macronutrient Intake Trial to Prevent Heart Disease
- Author
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Beasley, J. M., primary, Ange, B. A., additional, Anderson, C. A. M., additional, Miller, E. R., additional, Erlinger, T. P., additional, Holbrook, J. T., additional, Sacks, F. M., additional, and Appel, L. J., additional
- Published
- 2009
- Full Text
- View/download PDF
42. Lipid Management Update
- Author
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Brown, W. V., primary, Stone, N. J., additional, Ballantyne, C. M., additional, Sacks, F., additional, Merz, C. N. B., additional, and Blumenthal, R., additional
- Published
- 2005
- Full Text
- View/download PDF
43. A dietary pattern that lowers oxidative stress increases antibodies to oxidized LDL: Results from a randomized controlled feeding study
- Author
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MILLERIII, E, primary, ERLINGER, T, additional, SACKS, F, additional, SVETKEY, L, additional, CHARLESTON, J, additional, LIN, P, additional, and APPEL, L, additional
- Published
- 2005
- Full Text
- View/download PDF
44. L8: Healthy Lifestyle Behaviors and Risk of Coronary Heart Disease among Men: Effects of Adherence and Change
- Author
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Chiuve, S, primary, McCullough, M, additional, Sacks, F, additional, Stampfer, M, additional, Willett, W, additional, and Rimm, E, additional
- Published
- 2005
- Full Text
- View/download PDF
45. Do statins play a role in the early management of the acute coronary syndrome?
- Author
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SACKS, F, primary
- Published
- 2004
- Full Text
- View/download PDF
46. Sodium and blood pressure: no data dredging, please!
- Author
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Sacks, F, primary
- Published
- 2003
- Full Text
- View/download PDF
47. 1SOA03-3 Lessons from the statin and fibrate trials in coronary risk reduction
- Author
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Sacks, F., primary
- Published
- 2003
- Full Text
- View/download PDF
48. 1FS04-4 Triglycerides are just a marker for specific atherogenic lipoprotein remnant particles
- Author
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Sacks, F., primary
- Published
- 2003
- Full Text
- View/download PDF
49. 0SOA01-1 Statin therapy in the ACS patient — How soon should it start?
- Author
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Sacks, F., primary
- Published
- 2003
- Full Text
- View/download PDF
50. Dietary fats and prevention of cardiovascular disease
- Author
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Mann, J., primary, Skeaff, M., additional, Truswell, S., additional, Hu, F. B, additional, Sacks, F., additional, Willett, W. C, additional, Hooper, L., additional, Summerbell, C. D, additional, Thompson, R. L, additional, Capps, N. E, additional, Smith, G. D., additional, Riemersma, R. A, additional, and Ebrahim, S., additional
- Published
- 2001
- Full Text
- View/download PDF
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