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6. Association of Intima-Media Thickness Measured at the Common Carotid Artery With Incident Carotid Plaque : Individual Participant Data Meta-Analysis of 20 Prospective Studies

Author

Tschiderer, Lena, Seekircher, Lisa, Izzo, Raffaele, Mancusi, Costantino V., Manzi, Maria, Baldassarre, Damiano, Amato, Mauro, Tremoli, Elena, Veglia, Fabrizio, Tuomainen, Tomi-Pekka, Kauhanen, Jussi, Voutilainen, Ari, Iglseder, Bernhard, Lind, Lars, Rundek, Tatjana, Desvarieux, Moise, Kato, Akihiko, de Groot, Eric, Asci, Guelay, Ok, Ercan, Agewall, Stefan, Beulens, Joline W. J. D., Byrne, Christopher C., Calder, Philip C., Gerstein, Hertzel, Gresele, Paolo, Klingenschmid, Gerhard, Nagai, Michiaki H., Olsen, Michael, Parraga, Grace S., Safarova, Maya, Sattar, Naveed, Skilton, Michael, Stehouwer, Coen D. A., Uthoff, Heiko A., van Agtmael, Michiel A., van der Heijden, Amber A., Zozulinska-Ziolkiewicz, Dorota, Park, Hyun-Woong, Lee, Moo-Sik, Bae, Jang-Ho, Beloqui, Oscar F., Landecho, Manuel, Plichart, Matthieu, Ducimetiere, Pierre, Empana, Jean Philippe, Bokemark, Lena, Bergstroem, Goeran, Schmidt, Caroline, Castelnuovo, Samuela, Calabresi, Laura D., Norata, Giuseppe, Grigore, Liliana, Catapano, Alberico, Zhao, Dong, Wang, Miao, Liu, Jing, Ikram, M. Arfan, Kavousi, Maryam L., Bots, Michiel J., Sweeting, Michael W., Lorenz, Matthias, Willeit, Peter, Tschiderer, Lena, Seekircher, Lisa, Izzo, Raffaele, Mancusi, Costantino V., Manzi, Maria, Baldassarre, Damiano, Amato, Mauro, Tremoli, Elena, Veglia, Fabrizio, Tuomainen, Tomi-Pekka, Kauhanen, Jussi, Voutilainen, Ari, Iglseder, Bernhard, Lind, Lars, Rundek, Tatjana, Desvarieux, Moise, Kato, Akihiko, de Groot, Eric, Asci, Guelay, Ok, Ercan, Agewall, Stefan, Beulens, Joline W. J. D., Byrne, Christopher C., Calder, Philip C., Gerstein, Hertzel, Gresele, Paolo, Klingenschmid, Gerhard, Nagai, Michiaki H., Olsen, Michael, Parraga, Grace S., Safarova, Maya, Sattar, Naveed, Skilton, Michael, Stehouwer, Coen D. A., Uthoff, Heiko A., van Agtmael, Michiel A., van der Heijden, Amber A., Zozulinska-Ziolkiewicz, Dorota, Park, Hyun-Woong, Lee, Moo-Sik, Bae, Jang-Ho, Beloqui, Oscar F., Landecho, Manuel, Plichart, Matthieu, Ducimetiere, Pierre, Empana, Jean Philippe, Bokemark, Lena, Bergstroem, Goeran, Schmidt, Caroline, Castelnuovo, Samuela, Calabresi, Laura D., Norata, Giuseppe, Grigore, Liliana, Catapano, Alberico, Zhao, Dong, Wang, Miao, Liu, Jing, Ikram, M. Arfan, Kavousi, Maryam L., Bots, Michiel J., Sweeting, Michael W., Lorenz, Matthias, and Willeit, Peter

Abstract

Background: The association between common carotid artery intima-media thickness (CCA-IMT) and incident carotid plaque has not been characterized fully. We therefore aimed to precisely quantify the relationship between CCA-IMT and carotid plaque development. Methods and Results: We undertook an individual participant data meta-analysis of 20 prospective studies from the Proof-ATHERO (Prospective Studies of Atherosclerosis) consortium that recorded baseline CCA-IMT and incident carotid plaque involving 21 494 individuals without a history of cardiovascular disease and without preexisting carotid plaque at baseline. Mean baseline age was 56 years (SD, 9 years), 55% were women, and mean baseline CCA-IMT was 0.71 mm (SD, 0.17 mm). Over a median follow-up of 5.9 years (5th-95th percentile, 1.9-19.0 years), 8278 individuals developed first-ever carotid plaque. We combined study-specific odds ratios (ORs) for incident carotid plaque using random-effects meta-analysis. Baseline CCA-IMT was approximately log-linearly associated with the odds of developing carotid plaque. The age-, sex-, and trial arm-adjusted OR for carotid plaque per SD higher baseline CCA-IMT was 1.40 (95% CI, 1.31-1.50; I-2=63.9%). The corresponding OR that was further adjusted for ethnicity, smoking, diabetes, body mass index, systolic blood pressure, low- and high-density lipoprotein cholesterol, and lipid-lowering and antihypertensive medication was 1.34 (95% CI, 1.24-1.45; I-2=59.4%; 14 studies; 16 297 participants; 6381 incident plaques). We observed no significant effect modification across clinically relevant subgroups. Sensitivity analysis restricted to studies defining plaque as focal thickening yielded a comparable OR (1.38 [95% CI, 1.29-1.47]; I-2=57.1%; 14 studies; 17 352 participants; 6991 incident plaques). Conclusions: Our large-scale individual participant data meta-analysis demonstrated that CCA-IMT is associated with the long-term risk of developing first-ever carotid plaque, independent

Published
2023
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7. Association of Intima-Media Thickness Measured at the Common Carotid Artery With Incident Carotid Plaque:Individual Participant Data Meta-Analysis of 20 Prospective Studies

Author

Tschiderer, Lena, Seekircher, Lisa, Izzo, Raffaele, Mancusi, Costantino, Manzi, Maria V., Baldassarre, Damiano, Amato, Mauro, Tremoli, Elena, Veglia, Fabrizio, Tuomainen, Tomi Pekka, Kauhanen, Jussi, Voutilainen, Ari, Iglseder, Bernhard, Lind, Lars, Rundek, Tatjana, Desvarieux, Moise, Kato, Akihiko, de Groot, Eric, Aşçi, Gülay, Ok, Ercan, Agewall, Stefan, Beulens, Joline W.J., Byrne, Christopher D., Calder, Philip C., Gerstein, Hertzel C., Gresele, Paolo, Klingenschmid, Gerhard, Nagai, Michiaki, Olsen, Michael H., Parraga, Grace, Safarova, Maya S., Sattar, Naveed, Skilton, Michael, Stehouwer, Coen D.A., Uthoff, Heiko, van Agtmael, Michiel A., van der Heijden, Amber A., Zozulińska-Ziółkiewicz, Dorota A., Park, Hyun Woong, Lee, Moo Sik, Bae, Jang Ho, Beloqui, Oscar, Landecho, Manuel F., Plichart, Matthieu, Ducimetiere, Pierre, Empana, Jean Philippe, Bokemark, Lena, Bergström, Göran, Schmidt, Caroline, Castelnuovo, Samuela, Calabresi, Laura, Norata, Giuseppe D., Grigore, Liliana, Catapano, Alberico, Zhao, Dong, Wang, Miao, Liu, Jing, Ikram, M. Arfan, Kavousi, Maryam, Bots, Michiel L, Sweeting, Michael J., Lorenz, Matthias W., Willeit, Peter, Tschiderer, Lena, Seekircher, Lisa, Izzo, Raffaele, Mancusi, Costantino, Manzi, Maria V., Baldassarre, Damiano, Amato, Mauro, Tremoli, Elena, Veglia, Fabrizio, Tuomainen, Tomi Pekka, Kauhanen, Jussi, Voutilainen, Ari, Iglseder, Bernhard, Lind, Lars, Rundek, Tatjana, Desvarieux, Moise, Kato, Akihiko, de Groot, Eric, Aşçi, Gülay, Ok, Ercan, Agewall, Stefan, Beulens, Joline W.J., Byrne, Christopher D., Calder, Philip C., Gerstein, Hertzel C., Gresele, Paolo, Klingenschmid, Gerhard, Nagai, Michiaki, Olsen, Michael H., Parraga, Grace, Safarova, Maya S., Sattar, Naveed, Skilton, Michael, Stehouwer, Coen D.A., Uthoff, Heiko, van Agtmael, Michiel A., van der Heijden, Amber A., Zozulińska-Ziółkiewicz, Dorota A., Park, Hyun Woong, Lee, Moo Sik, Bae, Jang Ho, Beloqui, Oscar, Landecho, Manuel F., Plichart, Matthieu, Ducimetiere, Pierre, Empana, Jean Philippe, Bokemark, Lena, Bergström, Göran, Schmidt, Caroline, Castelnuovo, Samuela, Calabresi, Laura, Norata, Giuseppe D., Grigore, Liliana, Catapano, Alberico, Zhao, Dong, Wang, Miao, Liu, Jing, Ikram, M. Arfan, Kavousi, Maryam, Bots, Michiel L, Sweeting, Michael J., Lorenz, Matthias W., and Willeit, Peter

Abstract

Background The association between common carotid artery intima-media thickness (CCA-IMT) and incident carotid plaque has not been characterized fully. We therefore aimed to precisely quantify the relationship between CCA-IMT and carotid plaque development. Methods and Results We undertook an individual participant data meta-analysis of 20 prospective studies from the Proof-ATHERO (Prospective Studies of Atherosclerosis) consortium that recorded baseline CCA-IMT and incident carotid plaque involving 21 494 individuals without a history of cardiovascular disease and without preexisting carotid plaque at baseline. Mean baseline age was 56 years (SD, 9 years), 55% were women, and mean baseline CCA-IMT was 0.71 mm (SD, 0.17 mm). Over a median follow-up of 5.9 years (5th-95th percentile, 1.9-19.0 years), 8278 individuals developed first-ever carotid plaque. We combined study-specific odds ratios (ORs) for incident carotid plaque using random-effects meta-analysis. Baseline CCA-IMT was approximately log-linearly associated with the odds of developing carotid plaque. The age-, sex-, and trial arm-adjusted OR for carotid plaque per SD higher baseline CCA-IMT was 1.40 (95% CI, 1.31-1.50; I2=63.9%). The corresponding OR that was further adjusted for ethnicity, smoking, diabetes, body mass index, systolic blood pressure, low- and high-density lipoprotein cholesterol, and lipid-lowering and antihypertensive medication was 1.34 (95% CI, 1.24-1.45; I2=59.4%; 14 studies; 16 297 participants; 6381 incident plaques). We observed no significant effect modification across clinically relevant subgroups. Sensitivity analysis restricted to studies defining plaque as focal thickening yielded a comparable OR (1.38 [95% CI, 1.29-1.47]; I2=57.1%; 14 studies; 17 352 participants; 6991 incident plaques). Conclusions Our large-scale individual participant data meta-analysis demonstrated that CCA-IMT is associated with the long-term risk of developing first-ever carotid p

Published
2023

16. Carotid Intima-Media Thickness Progression as Surrogate Marker for Cardiovascular Risk

Author

Willeit, Peter, Tschiderer, Lena, Allara, Elias, Reuber, Kathrin, Seekircher, Lisa, Gao, Lu, Liao, Ximing, Lonn, Eva, Gerstein, Hertzel C, Yusuf, Salim, Brouwers, Frank P, Asselbergs, Folkert W, Van Gilst, Wiek, Anderssen, Sigmund A, Grobbee, Diederick E, Kastelein, John JP, Visseren, Frank LJ, Ntaios, George, Hatzitolios, Apostolos I, Savopoulos, Christos, Nieuwkerk, Pythia T, Stroes, Erik, Walters, Matthew, Higgins, Peter, Dawson, Jesse, Gresele, Paolo, Guglielmini, Giuseppe, Migliacci, Rino, Ezhov, Marat, Safarova, Maya, Balakhonova, Tatyana, Sato, Eiichi, Amaha, Mayuko, Nakamura, Tsukasa, Kapellas, Kostas, Jamieson, Lisa M, Skilton, Michael, Blumenthal, James A, Hinderliter, Alan, Sherwood, Andrew, Smith, Patrick J, Van Agtmael, Michiel A, Reiss, Peter, Van Vonderen, Marit GA, Kiechl, Stefan, Klingenschmid, Gerhard, Sitzer, Matthias, Stehouwer, Coen DA, Uthoff, Heiko, Zou, Zhi-Yong, Cunha, Ana R, Neves, Mario F, Witham, Miles D, Park, Hyun-Woong, Lee, Moo-Sik, Bae, Jang-Ho, Bernal, Enrique, Wachtell, Kristian, Kjeldsen, Sverre E, Olsen, Michael H, Preiss, David, Sattar, Naveed, Beishuizen, Edith, Huisman, Menno V, Espeland, Mark A, Schmidt, Caroline, Agewall, Stefan, Ok, Ercan, Aşçi, Gülay, De Groot, Eric, Grooteman, Muriel PC, Blankestijn, Peter J, Bots, Michiel L, Sweeting, Michael J, Thompson, Simon G, Lorenz, Matthias W, PROG-IMT And The Proof-ATHERO Study Groups, Group, PROG-IMT Study, Group, Proof-ATHERO Study, Vascular Medicine, Medical Psychology, APH - Mental Health, APH - Personalized Medicine, Experimental Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Global Health, APH - Aging & Later Life, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, ACS - Pulmonary hypertension & thrombosis, Ege Üniversitesi, MUMC+: Centrum voor Chronische Zieken (3), MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, MUMC+: HVC Pieken Maastricht Studie (9), Interne Geneeskunde, MUMC+: MA Interne Geneeskunde (3), Allara, Elias [0000-0002-1634-8330], Apollo - University of Cambridge Repository, Cardiovascular Centre (CVC), Internal medicine, Nephrology, and ACS - Diabetes & metabolism

Subjects
Male, medicine.medical_specialty, Carotid Artery, Common, carotid intima-media thickness, LDL TREATMENT STRATEGIES, Myocardial Infarction, surrogate marker, TYPE-2 DIABETES-MELLITUS, HIV-INFECTED PATIENTS, 030204 cardiovascular system & hematology, Impaired glucose tolerance, EXTENDED-RELEASE NIACIN, 03 medical and health sciences, 0302 clinical medicine, IMPAIRED GLUCOSE-TOLERANCE, ESTROGEN PLUS PROGESTIN, cardiovascular disease, Physiology (medical), Internal medicine, BASE-LINE CHARACTERISTICS, medicine, Humans, CORONARY-HEART-DISEASE, 030212 general & internal medicine, Myocardial infarction, cardiovascular diseases, Stroke, Randomized Controlled Trials as Topic, clinical trials as topic, business.industry, Surrogate endpoint, Middle Aged, medicine.disease, Common, Clinical trial, meta-analysis, ARTERIAL-WALL THICKNESS, Intima-media thickness, JAPAN STATIN TREATMENT, Heart Disease Risk Factors, Relative risk, Meta-analysis, Cardiology, cardiovascular system, Female, Carotid Artery, Cardiology and Cardiovascular Medicine, business
Abstract

Background: To quantify the association between effects of interventions on carotid intima-media thickness (cIMT) progression and their effects on cardiovascular disease (CVD) risk. Methods: We systematically collated data from randomized, controlled trials. cIMT was assessed as the mean value at the common-carotid-artery; if unavailable, the maximum value at the common-carotid-artery or other cIMT measures were used. the primary outcome was a combined CVD end point defined as myocardial infarction, stroke, revascularization procedures, or fatal CVD. We estimated intervention effects on cIMT progression and incident CVD for each trial, before relating the 2 using a Bayesian meta-regression approach. Results: We analyzed data of 119 randomized, controlled trials involving 100 667 patients (mean age 62 years, 42% female). Over an average follow-up of 3.7 years, 12 038 patients developed the combined CVD end point. Across all interventions, each 10 mu m/y reduction of cIMT progression resulted in a relative risk for CVD of 0.91 (95% Credible Interval, 0.87-0.94), with an additional relative risk for CVD of 0.92 (0.87-0.97) being achieved independent of cIMT progression. Taken together, we estimated that interventions reducing cIMT progression by 10, 20, 30, or 40 mu m/y would yield relative risks of 0.84 (0.75-0.93), 0.76 (0.67-0.85), 0.69 (0.59-0.79), or 0.63 (0.52-0.74), respectively. Results were similar when grouping trials by type of intervention, time of conduct, time to ultrasound follow-up, availability of individual-participant data, primary versus secondary prevention trials, type of cIMT measurement, and proportion of female patients. Conclusions: the extent of intervention effects on cIMT progression predicted the degree of CVD risk reduction. This provides a missing link supporting the usefulness of cIMT progression as a surrogate marker for CVD risk in clinical trials., Austrian Science Fund (FWF)Austrian Science Fund (FWF) [P 32488]; Dr-Johannes-and-Hertha-Tuba Foundation; German Research FoundationGerman Research Foundation (DFG) [DFG Lo 1569/2-1, DFG Lo 1569/2-3]; excellence initiative "Competence Centers for Excellent Technologies" (COMET) of the Austrian Research Promotion Agency (FFG) "Research Center of Excellence in Vascular Ageing: Tyrol, VAS-Cage" - Bundesministerium fur Verkehr, Innovation und Technologie (B [843536]; Bundesministerium fur Bildung, Wissenschaft und Forschung (BMWFW); Wirtschaftsagentur Wien; Standortagentur Tirol, This work was supported by the Austrian Science Fund (FWF; P 32488); the Dr-Johannes-and-Hertha-Tuba Foundation; the German Research Foundation (DFG Lo 1569/2-1 and DFG Lo 1569/2-3); and the excellence initiative "Competence Centers for Excellent Technologies" (COMET) of the Austrian Research Promotion Agency (FFG) "Research Center of Excellence in Vascular Ageing: Tyrol, VAS-Cage" (K-Project No. 843536), funded by Bundesministerium fur Verkehr, Innovation und Technologie (BMVIT), Bundesministerium fur Bildung, Wissenschaft und Forschung (BMWFW), Wirtschaftsagentur Wien, and Standortagentur Tirol.

Published
2020
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31. Long-term outcomes after fractional flow reserve-guided percutaneous coronary intervention in patients with severe coronary stenosis

Author

Zhang, Ying-Hua, Li, Jing, Flammer, Andreas J, Matsuo, Yoshiki, Lee, Moo-Sik, Lennon, Ryan J, Bell, Malcolm R, Holmes, David R, Bresnahan, John F, Rihal, Charanjit S, Lerman, Lilach O, Lerman, Amir, Zhang, Ying-Hua, Li, Jing, Flammer, Andreas J, Matsuo, Yoshiki, Lee, Moo-Sik, Lennon, Ryan J, Bell, Malcolm R, Holmes, David R, Bresnahan, John F, Rihal, Charanjit S, Lerman, Lilach O, and Lerman, Amir

Abstract

Objective To explore the safety and efficacy of FFR-guided percutaneous coronary intervention (PCI) in vessels with severe diameter stenosis. Methods & Results Of 1090 patients undergoing fractional flow reserve (FFR) assessment from 2002 to 2009, we identified 167 patients in whom FFR was measured in at least one 70%-89% stenotic lesion. These patients were subdivided into an FFR-defer group ( = 49) if PCI was deferred (FFR > 0.80), and an FFR-perform group ( = 118) if PCI was performed (FFR ≤ 0.80). Comparatively, an additional 1176 patients undergoing PCI in at least one lesion with 70%-89% stenosis but without measurement of FFR served as a control (angiography-guided) group. Clinical outcomes were compared during a median follow-up of 49.0 months. The 5-year Kaplan-Meier estimated revascularization rates were 16% in the FFR-defer group and 33% in the FFR-perform group ( = 0.046). The incidence of major adverse cardiac events were comparable in these two groups (HR = 0.82, 95% CI: 0.37-1.82, = 0.63). The number of stents placed was significantly lower in the FFR-guided group (0.9 ± 0.8 1.4 ± 0.8, < 0.001). Conclusions Functional revascularization for lesions with visually severe stenosis is clinically safe and associated with fewer stents use. This study suggests that extending the use of FFR to more severe coronary lesions may be reasonable.

Published
2019

34. Automatic identification of variables in epidemiological datasets using logic regression

Author

Lorenz, Matthias W., Abdi, Negin Ashtiani, Scheckenbach, Frank, Pflug, Anja, Bülbül, Alpaslan, Catapano, Alberico L., Agewall, Stefan, Ezhov, Marat, Bots, Michiel L., Kiechl, Stefan, Orth, Andreas, Norata, Giuseppe D., Empana, Jean Philippe, Lin, Hung Ju, McLachlan, Stela, Bokemark, Lena, Ronkainen, Kimmo, Amato, Mauro, Schminke, Ulf, Srinivasan, Sathanur R., Lind, Lars, Kato, Akihiko, Dimitriadis, Chrystosomos, Przewlocki, Tadeusz, Okazaki, Shuhei, Stehouwer, C. D.A., Lazarevic, Tatjana, Willeit, Peter, Yanez, David N., Steinmetz, Helmuth, Sander, Dirk, Poppert, Holger, Desvarieux, Moise, Ikram, M. Arfan, Bevc, Sebastjan, Staub, Daniel, Sirtori, Cesare R., Iglseder, Bernhard, Engström, Gunnar, Tripepi, Giovanni, Beloqui, Oscar, Lee, Moo Sik, Friera, Alfonsa, Xie, Wuxiang, Grigore, Liliana, Plichart, Matthieu, Su, Ta Chen, Robertson, Christine, Schmidt, Caroline, Tuomainen, Tomi Pekka, Veglia, Fabrizio, Völzke, Henry, Nijpels, Giel, Jovanovic, Aleksandar, Willeit, Johann, Sacco, Ralph L., Franco, Oscar H., Hojs, Radovan, Uthoff, Heiko, Hedblad, Bo, Park, Hyun Woong, Suarez, Carmen, Zhao, Dong, Catapano, Alberico, Ducimetiere, Pierre, Chien, Kuo Liong, Price, Jackie F., Bergström, Göran, Kauhanen, Jussi, Tremoli, Elena, Dörr, Marcus, Berenson, Gerald, Papagianni, Aikaterini, Kablak-Ziembicka, Anna, Kitagawa, Kazuo, Dekker, Jaqueline M., Stolic, Radojica, Polak, Joseph F., Sitzer, Matthias, Bickel, Horst, Rundek, Tatjana, Hofman, Albert, Ekart, Robert, Frauchiger, Beat, Castelnuovo, Samuela, Rosvall, Maria, Zoccali, Carmine, Landecho, Manuel F., Bae, Jang Ho, Gabriel, Rafael, Liu, Jing, Baldassarre, Damiano, Kavousi, Maryam, APH - Health Behaviors & Chronic Diseases, AII - Infectious diseases, APH - Aging & Later Life, and Epidemiology

Subjects
Carotid Artery Diseases, Matching (statistics), Databases, Factual, Epidemiologic Factors, Computer science, Epidemiology, Sample (statistics), Health Informatics, Logistic regression, computer.software_genre, lcsh:Computer applications to medicine. Medical informatics, Data management, Carotid Intima-Media Thickness, Set (abstract data type), 03 medical and health sciences, 0302 clinical medicine, Meta-Analysis as Topic, Backup, Predictive Value of Tests, Statistics, Journal Article, Data Mining, Humans, 030212 general & internal medicine, Medical Informatics Applications, Health Policy, Prognosis, Logic regression, Computer Science Applications, Identification (information), Variable (computer science), Meta-analysis, Logistic Models, 030220 oncology & carcinogenesis, Data quality, lcsh:R858-859.7, Data mining, computer, Algorithms, Research Article
Abstract

Background For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable. Methods For each variable in a set of target variables, a number of simple rules were manually created. With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large database of epidemiological and clinical cohort data (construction subset). In a second subset of this database (validation subset), this optimal combination rules were validated. Results In the construction sample, 41 target variables were allocated on average with a positive predictive value (PPV) of 34%, and a negative predictive value (NPV) of 95%. In the validation sample, PPV was 33%, whereas NPV remained at 94%. In the construction sample, PPV was 50% or less in 63% of all variables, in the validation sample in 71% of all variables. Conclusions We demonstrated that the application of logic regression in a complex data management task in large epidemiological IPD meta-analyses is feasible. However, the performance of the algorithm is poor, which may require backup strategies.

Published
2017
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35. Automatic identification of variables in epidemiological datasets using logic regression

Author

Cardiovasculaire Epi Team 5, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Lorenz, Matthias W., Abdi, Negin Ashtiani, Scheckenbach, Frank, Pflug, Anja, Bülbül, Alpaslan, Catapano, Alberico L., Agewall, Stefan, Ezhov, Marat, Bots, Michiel L., Kiechl, Stefan, Orth, Andreas, Norata, Giuseppe D., Empana, Jean Philippe, Lin, Hung Ju, McLachlan, Stela, Bokemark, Lena, Ronkainen, Kimmo, Amato, Mauro, Schminke, Ulf, Srinivasan, Sathanur R., Lind, Lars, Kato, Akihiko, Dimitriadis, Chrystosomos, Przewlocki, Tadeusz, Okazaki, Shuhei, Stehouwer, C. D.A., Lazarevic, Tatjana, Willeit, Peter, Yanez, David N., Steinmetz, Helmuth, Sander, Dirk, Poppert, Holger, Desvarieux, Moise, Ikram, M. Arfan, Bevc, Sebastjan, Staub, Daniel, Sirtori, Cesare R., Iglseder, Bernhard, Engström, Gunnar, Tripepi, Giovanni, Beloqui, Oscar, Lee, Moo Sik, Friera, Alfonsa, Xie, Wuxiang, Grigore, Liliana, Plichart, Matthieu, Su, Ta Chen, Robertson, Christine, Schmidt, Caroline, Tuomainen, Tomi Pekka, Veglia, Fabrizio, Völzke, Henry, Nijpels, Giel, Jovanovic, Aleksandar, Willeit, Johann, Sacco, Ralph L., Franco, Oscar H., Hojs, Radovan, Uthoff, Heiko, Hedblad, Bo, Park, Hyun Woong, Suarez, Carmen, Zhao, Dong, Catapano, Alberico, Ducimetiere, Pierre, Chien, Kuo Liong, Price, Jackie F., Bergström, Göran, Kauhanen, Jussi, Tremoli, Elena, Dörr, Marcus, Berenson, Gerald, Papagianni, Aikaterini, Kablak-Ziembicka, Anna, Kitagawa, Kazuo, Dekker, Jaqueline M., Stolic, Radojica, Polak, Joseph F., Sitzer, Matthias, Bickel, Horst, Rundek, Tatjana, Hofman, Albert, Ekart, Robert, Frauchiger, Beat, Castelnuovo, Samuela, Rosvall, Maria, Zoccali, Carmine, Landecho, Manuel F., Bae, Jang Ho, Gabriel, Rafael, Liu, Jing, Baldassarre, Damiano, Kavousi, Maryam, Cardiovasculaire Epi Team 5, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Lorenz, Matthias W., Abdi, Negin Ashtiani, Scheckenbach, Frank, Pflug, Anja, Bülbül, Alpaslan, Catapano, Alberico L., Agewall, Stefan, Ezhov, Marat, Bots, Michiel L., Kiechl, Stefan, Orth, Andreas, Norata, Giuseppe D., Empana, Jean Philippe, Lin, Hung Ju, McLachlan, Stela, Bokemark, Lena, Ronkainen, Kimmo, Amato, Mauro, Schminke, Ulf, Srinivasan, Sathanur R., Lind, Lars, Kato, Akihiko, Dimitriadis, Chrystosomos, Przewlocki, Tadeusz, Okazaki, Shuhei, Stehouwer, C. D.A., Lazarevic, Tatjana, Willeit, Peter, Yanez, David N., Steinmetz, Helmuth, Sander, Dirk, Poppert, Holger, Desvarieux, Moise, Ikram, M. Arfan, Bevc, Sebastjan, Staub, Daniel, Sirtori, Cesare R., Iglseder, Bernhard, Engström, Gunnar, Tripepi, Giovanni, Beloqui, Oscar, Lee, Moo Sik, Friera, Alfonsa, Xie, Wuxiang, Grigore, Liliana, Plichart, Matthieu, Su, Ta Chen, Robertson, Christine, Schmidt, Caroline, Tuomainen, Tomi Pekka, Veglia, Fabrizio, Völzke, Henry, Nijpels, Giel, Jovanovic, Aleksandar, Willeit, Johann, Sacco, Ralph L., Franco, Oscar H., Hojs, Radovan, Uthoff, Heiko, Hedblad, Bo, Park, Hyun Woong, Suarez, Carmen, Zhao, Dong, Catapano, Alberico, Ducimetiere, Pierre, Chien, Kuo Liong, Price, Jackie F., Bergström, Göran, Kauhanen, Jussi, Tremoli, Elena, Dörr, Marcus, Berenson, Gerald, Papagianni, Aikaterini, Kablak-Ziembicka, Anna, Kitagawa, Kazuo, Dekker, Jaqueline M., Stolic, Radojica, Polak, Joseph F., Sitzer, Matthias, Bickel, Horst, Rundek, Tatjana, Hofman, Albert, Ekart, Robert, Frauchiger, Beat, Castelnuovo, Samuela, Rosvall, Maria, Zoccali, Carmine, Landecho, Manuel F., Bae, Jang Ho, Gabriel, Rafael, Liu, Jing, Baldassarre, Damiano, and Kavousi, Maryam

Published
2017

40. Effectiveness of Mammography Boot Camp for Radiology Residents

Author

Kim, Keum Won, primary, Lee, Eun Hye, additional, Kim, Jin You, additional, Park, Young Mee, additional, Kim, Hae Jung, additional, Choi, Eun Jung, additional, Koh, Kyung Hee, additional, Kim, Youme, additional, Kim, Hye-Won, additional, Nam, Sang Yu, additional, Choi, Bobae, additional, Kim, Kyu Sun, additional, Lee, Jin Hwa, additional, Bae, Kyoungkug, additional, Kim, Dae Bong, additional, Kim, Young Joong, additional, Seo, Jae Young, additional, Jeong, Sun Hye, additional, and Lee, Moo-Sik, additional

Published
2017
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42. The changes of individual carotid artery wall layer by aging and carotid intima-media thickness value for high risk

Author

Bae, Jang-Ho, primary, Kim, Wuon-Shik, additional, Lee, Moo-Sik, additional, Kim, Kee-Sik, additional, Park, Jeong Bae, additional, Youn, Ho-Joong, additional, Park, Chang-Gyu, additional, Hong, Kyung-Soon, additional, Kim, Jang-Young, additional, Jeong, Jin-Won, additional, Park, Jong Chun, additional, Lim, Do-Sun, additional, Kim, Moo Hyun, additional, and Woo, Jeong Taek, additional

Published
2016
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