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Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE): a randomised, double-blind, placebo-controlled trial
Rury R. Holman, Ruth L. Coleman, Juliana C.N. Chan, Jean‐Louis Chiasson, Huimei Feng, Junbo Ge, Hertzel C. Gerstein, Richard Gray, Yong Huo, Zhihui Lang, John J.V. McMurray, Lars Rydén, Stefan Schröder, Yihong Sun, Michael J. Theodorakis, Michał Tendera, Lynne Tucker, Jaakko Tuomilehto, Yidong Wei, Wenying Yang, Duolao Wang, Dayi Hu, Changyu Pan, Joanne F. Keenan, Joanne Milton, Zoë Doran, Chris Bray, Jean L. Rouleau, Jane Collier, Stuart Pocock, Eberhard Standl, Karl Swedberg, Jianping Weng, Dong Zhao, Mark C. Petrie, Eugene Connolly, Pardeep S. Jhund, Michael R. MacDonald, Rachel C. Myles, Rong Bai, Jing Li, Zhaoping Liu, Zhenyu Liu, Dantao Peng, Tong Qiguang, Chunxue Wang, Xiaowei Yan, Yuqing Zhang, Jingmin Zhou, Naveed Sattar, Miles Fisher, John R. Petrie, M. Angelyn Bethel, Wen Xu, Sarah Hearn, Anurag Kappai, Shu-Yi Su, Winitha Liyanage, Sanjoy K. Paul, Emanuela Pozzi, Arne Ring, Rajbir Athwal, Priyanka Batra, Andrea Ferch, Natasha Groves, Irene Kennedy, Olga Nawalaniec, Yash Patel, Rachel Roberts, Victoria Rush, Jayne Starrett, Jennifer Tang, Jing Bi, Zhe Jiang, Hua Wei, Xiaoshuai Wei, Xuan Zhang, Jun Yin, Yu Sun, Rong Hu, Yang Liu, Jianjing Long, Yuefeng Long, Guofang Qiao, Haoyi Qiao, Xiaochun Sun, Yucheng Zhang, Jing Zhou, Bangning Wang, Bin Chen, Lili Deng, Xiaoning Han, Taohong Hu, Qi Hua, Yanming Huo, Hongmei Li, Hongwei Li, Lihua Liu, Juming Lu, Changsheng Ma, Jianjun Peng, Lin Pi, Bin Wang, Guanglin Wei, Ming Yang, Shuyang Zhang, Likun Zhang, Xia Zhao, Yujie Zhou, Libin Shi, Ming‐Sheng Wang, Lirong Wu, Lei Han, Ronghong Liao, Boli Ran, Qiang She, Jiancong Tan, Mei Xia, Chengming Yang, Lianglong Chen, Shang-Quan Xiong, Ling Yu, Xiaodong Pu, Yan Wang, Qiang Xie, Jiyan Chen, Yugang Dong, Zhaohui Wu, Yong Yuan, Wan-xing Zhou, Shuxian Zhou, Xiao‐Chao Chen, Chun Yi Wu, Aidong Zhang, Zicheng Li, Sha-Yi Lai, Jin Yang, Jinru Wei, Riyu Kuang, Zilin Zhao, Guoqiang Zhong, Xufen Cao, Gang Liu, Dongmei Wang, Hui Fang, Lingjun Kong, Haitao Li, Changqing Wang, Lina Wang, Xueqi Li, Pingshuan Dong, Shouyan Zhang, Xincan Liu, Yulan Zhao, Heng-Liang Liu, Ye Gu, Yuhua Liao, Xi Su, Daowen Wang, Hairong Wang, Bo Yang, Ying Guo, Ding-an Ouyang, Tianlun Yang, Yumin Zhang, Yajun Han, Xuefeng Lin, Ruiping Zhao, Ronghai Man, Rongwen Bian, Biao Xu, Buaijiaer Hasimu, Hui Jin, Ping Liu, Jiangyi Yu, Hang Zhang, Chongli Xu, Guo Yan, Ke Lv, Yijia Tao, Xin Xu, Zhenyu Yang, Dongye Li, Chunmei Qi, Guohui Zhang, Xiang Gu, Lang Hong, Ling Hu, Juxiang Li, Ping Yang, Bin Liu, Gang Wang, Hailong Lin, Jun Liu, Shuying Zhang, Ping Han, Yuanzhe Jin, Ling Li, Zhanquan Li, Hong Luan, Mei Song, Li Xue, Yu Hua, Dongwu Liu, Zuyi Yuan, Jixian Ye, Feng Gao, Jinhua Feng, Ali Wang, Sheng-Ming Ye, Xiaoyan Li, Guohai Su, Shufang Zhang, Zi-Shan Hou, Wenbin Jiang, Changyong Zhou, Yanping Wang, Wenbo Qi, Xiaomei Bao, Bo Feng, Hui Gong, GU Shui-ming, Mingjun Gu, Xingui Guo, Ben He, Ying Huang, Jinfa Jiang, Yifeng Jiang, Huigen Jin, Yuehua Li, Qiliang Liu, Guoping Lü, Peizhi Miao, Yong-wen QIN, Yuanming Wang, Shiyao Wu, Yawei Xu, Jin Ma, Xiaoping Chen, Xiumin Liu, Jianing Tang, Jingping Wang, Jianhong Tao, Jun Zhang, Tingjie Zhang, Decai Li, Xinping Du, Tiemin Jiang, Jing‐Na Lin, Chengzhi Lu, Hongjun Ma, Bo Gao, Xukun Guo, Tong Li, Shaoxiong Zheng, Zhongcheng Li, Shuwu Zhao, Qiang Qiu, Kaili Li, Jun‐Ming Liu, Bao-Peng Tang, Zhanjun Yuan, Jianhua Zhou, Wenwei Bai, Tao Guo, Ge Zhang, Hong Zhang, Yinglu Hao, Guosheng Fu, Lijiang Tang, Jialun Chen
Bibliographic record
VenueThe Lancet Diabetes & Endocrinology · 2017
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research InstituteCentre Hospitalier de l’Université de Montréal
FundersNational Institute for Health and Care ResearchBayer
KeywordsAcarboseMedicineDiabetes mellitusPlaceboImpaired glucose toleranceInternal medicineCoronary heart diseaseDouble blindType 2 diabetesCardiologyImpaired fasting glucoseRandomized controlled trialClinical trialEndocrinologyAlternative 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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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 designRandomized trial
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
Citations320
Published2017
Admission routes1
Has abstractno