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Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study
Victoria Miller, Andrew Mente, Mahshid Dehghan, Sumathy Rangarajan, Xiaohe Zhang, Sumathi Swaminathan, Gilles R. Dagenais, Rajeev Gupta, Viswanathan Mohan, Scott A. Lear, Shrikant I. Bangdiwala, Aletta E. Schutte, Edelweiss Wentzel‐Viljoen, Álvaro Avezum, Yüksel Altuntaş, Khalid Yusoff, Noor Hassim Ismail, Nasheeta Peer, Jephat Chifamba, Rafael Díaz, Omar Rahman, Noushin Mohammadifard, F. C. F. Lana, Katarzyna Zatońska, Andreas Wielgosz, Afzalhussein Yusufali, Romaina Iqbal, Patricio López‐Jaramillo, Rasha Khatib, Annika Rosengren, V. Raman Kutty, Wei Li, Jiankang Liu, Xiaoyun Liu, Lu Yin, Koon Teo, Sonia S. Anand, Salim Yusuf, Andrés Orlandini, B Linetsky, S Toscanelli, Germana Casaccia, JM Maini Cuneo, Rita Yusuf, AK Azad, Khondkar Ayaz Rabbani, HM Cherry, Adnan Mannan, I Hassan, AT Talukdar, RB Tooheen, MU Khan, Mariz Sintaha, Tarzia Choudhury, Md Rabiul Haque, S Parvin, GB Oliveira, CS Marcílio, Antônio José Cordeiro Mattos, Jane DeJesus, D Agapay, T Tongana, Rubén Solano, I. Patrick Kay, Sylvie Trottier, Julija Rimac, W Elsheikh, L Heldman, E Ramezani, Paul Poirier, Ginette Turbide, D. Auger, A LeBlanc De Bluts, MC Proulx, Marie‐Pierre Cayer, Nadine Bonneville, Danijela Gašević, E Corber, Veronica de Jong, I Vukmirovich, George Fodor, Andrew Pipe, A Shane, Fernando Laņas, Pamela Serón, S Martinez, A Valdebenito, María José Oliveros, Xingyu Wang, Wenhua Zhao, Jian Bo, Zhao Xiuwen, Chang Xiaohong, Tao Chen, Hui Chen, Qing Deng, Xiaoru Cheng, He Xinye, Jian Li, Juan Li, Xu Liu, Ren Bing, Wang Wei, Yang Wang, Yi Zhai, Zhu Manlu, Fanghong Lu, Jianfang Wu, Yindong Li, Yan Hou, Liangqing Zhang, Baoxia Guo, Zhang Shi-ying, Bian Rongwen, Tian Xiuzhen, Dong Li, Di Chen, Wu Jianguo, Xiao Yize, Tianlu Liu, Changlin Dong, Ning Li, Xiaolan Ma, Yang Yuqing, Lei Rensheng, Fu Minfan, Jing He, Yü Liu, Xiaojie Xing, Qiang Zhou, Paul Anthony Camacho, R Garcia, LJA Jurado, Diego Gómez-Arbeláez, JF Arguello, R Dueñas, S Silva, LP Pradilla, F Ramírez, DI Molina, Carlos Cure-Cure, Suhey Pérez, E Hernandez, E. Arcos, S Fernandez, Claudia Narváez, J Paez, A Sotomayor, Henry García, G. Sánchez, T David, Prem Mony, Mário Vaz, A V Bharathi, K Shankar AV Kurpad, KG Jayachitra, Narinder Kumar, Mohan Deepa, K Parthiban, M Anitha, S Hemavathy, T Rahulashankiruthiyayan, D Anitha, K Sridevi, Rajeev Gupta, RB Panwar, Indu Mohan, Priyanka Rastogi, S. Rastogi, R. Bhargava, JS Thakur, Binod Kumar Patro, P. V. M. Lakshmi, R Mahajan, P Chaudary, Krishnapillai Vijayakumar, G Rajasree, AR Renjini, A Deepu, B. Sandhya, Stephen Asha, HS Soumya, Roya Kelishadi, Ahmad Bahonar, Hadi Heidari, KK Ng, A Devi, NM Nasir, MM Yasin, Maizatullifah Miskan, EA Rahman, MKM Arsad, Farnaza Ariffin, SA Razak, FA Majid, NA Bakar, MY Yacob, N Zainon, Ruhaya Salleh, MKA Ramli, NA Halim, SR Norlizan, NM Ghazali, MN Arshad, R Razali, Syed Hassan Ali, HR Othman, CWJCW Hafar, A Pit, Norlaila Danuri, F Basir, SNA Zahari, Hafez Mohammad Ammar Abdullah, MA Arippin, NA Zakaria, MJ Hasni, MT Azmi, MI Zaleha, KY Hazdi, AR Rizam, W Sazman, A Azman, Umaiyeh Khammash, A Khatib, Rita Giacaman, Romania Iqbal, Asad Afridi, Rehman Khawaja, Auriba Raza, Khawar Kazmi, Witold Zatoński, Andrzej Szuba, Rafał Ilow, M Ferus, Bożena Regulska−Ilow, Dorota Różańska, Maria Wołyniec, Mohammed K. Ali, Marlize Kruger, H H Voster, FC Eloff, H de Ridder, H Moss, J Potgieter, A.V. Diez Roux, Megan Watson, G de Wet, Antonel Olckers, Johann C. Jerling, Marlien Pieters, Trynke Hoekstra, Thandi Puoane, Ehimario Igumbor, Lungiswa Tsolekile, David Sanders, Pooveshni Naidoo, N Steyn, Bongani M. Mayosi, Brian Rayner, Estelle V. Lambert, Naomi Levitt, Tracy Kolbe‐Alexander, Lucas Ntyintyane, G. Hughes, Rina Swart, Jean Fourie, Moïse Muzigaba, S Xapa, N Gobile, K Ndayi, B Jwili, K Ndibaza, Bonaventure Amandi Egbujie, Kristina Bengtsson Boström, A Gustavsson, Mattias Andréasson, M Snällman, L Wirdemann, A Oguz, Neşe İmeryüz, Ahmet Temizhan, KBT Calik, AAK Akalin, OT Caklili, MV Keskinler, AN Erbakan, AM Yusufali, Wael Almahmeed, H Swidan, EA Darwish, ARA Hashemi, Najib Al‐Khaja, J. Muscat-Baron, SH Ahmed, TM Mamdouh, WM Darwish, MHS Abdelmotagali, SA Omer Awed, GA Movahedi, F Hussain, H Al Shaibani, RIM Gharabou, DF Youssef, AZS Nawati, ZAR Abu Salah, RFE Abdalla, SM Al Shuwaihi, MA Al Omairi, OD Cadigal, R.S. Alejandrino, Lenon Gwaunza, G Terera, Carol Mahachi, Pretty Murambiwa, T Machiweni, RF Mapanga
Bibliographic record
VenueThe Lancet · 2017
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsUniversity of OttawaSimon Fraser UniversityPopulation Health Research InstituteUniversité LavalInstitut universitaire de cardiologie et de pneumologie de QuébecMcMaster University
FundersFaculty of Community and Health Sciences, University of the Western CapeCanadian Institutes of Health ResearchIndependent University, BangladeshServierSerbian Academy of Sciences and ArtsUniwersytet Medyczny im. Piastów Slaskich we WroclawiuUniversiti Kebangsaan MalaysiaNorthwest UniversityAstraZenecaMinistério da Ciência, Tecnologia e InovaçãoAFA FörsäkringForskningsrådet för Arbetsliv och SocialvetenskapSvenska Forskningsrådet FormasInternational Development Research CentreMedical Research CouncilKing Saud UniversityIndian Council of Medical ResearchUniversiti Teknologi MARANational Research FoundationSouth Africa Netherlands research Programme on Alternatives in DevelopmentPublic Health Agency of CanadaUniversidad de La FronteraGlaxoSmithKlinePublic Health AgencySanofiVetenskapsrådetHeart and Stroke Foundation of CanadaDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
KeywordsMedicineProspective cohort studyEnvironmental healthDiseaseEpidemiologyMyocardial infarctionCohort studySocioeconomic statusDemographyCohortPopulationInternal medicine
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.025
GPT teacher head0.279
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations654
Published2017
Admission routes2
Has abstractno