MétaCan
Menu
Back to cohort
Record W2804929967 · doi:10.1016/s0140-6736(18)30802-x

Practice patterns and outcomes after stroke across countries at different economic levels (INTERSTROKE): an international observational study

2018· article· en· W2804929967 on OpenAlexaff
Peter Langhorne, Martin O’Donnell, Siu Lim Chin, Hongye Zhang, Denis Xavier, Álvaro Avezum, Nandini Mathur, Melanie Turner, Mary Joan MacLeod, Patricio López‐Jaramillo, Albertino Damasceno, Graeme J. Hankey, Antonio L Dans, Ahmed ElSayed, Charles Mondo, Mohammad Wasay, Anna Członkowska, Christian Weimar, F Hussain, Hans‐Christoph Diener, Danuta Ryglewicz, Nana Pogosova, Romana Iqbal, Rafael Díaz, Khalid Yusoff, Aytekin Oğuz, Xingyu Wang, Ernesto Peñaherrera, Fernando Laņas, Okechukwu S. Ogah, Adesola Ogunniyi, Helle K. Iversen, Germán Málaga, Zvonko Rumboldt, Daliwonga Magazi, Yongchai Nilanont, Annika Rosengren, Shahram Oveisgharan, Salim Yusuf, Sumathy Rangarajan, Rao Ps, Xiaohe Zhang, Shofiqul Islam, Conrad Kabali, Amparo Casanova, S. L. Chin, Jane DeJesus, Mahshid Dehghan, Steven Agapay, M. McQueen, Kathleen Hall, J. Keys, Xingyu Wang, Anitha Devanath, Rajeev Gupta, Dorairaj Prabhakaran, Pablo Schygiel, Mercedes Rodríguez Garrote, M. A. Rodríguez, Alberto Caccavo, Ruben Garcia Duran, Luciano A. Sposato, J. Molinos, Pascual Valdéz, C.M. Cedrolla, Pedro Nofal, Miguel Huerta, Pablo Desmery, María Cristina Zurrú, B. Della Vedova, George Varigos, Thomas Kræmer, Peter Gates, Christopher Bladin, Geoffrey Herkes, Manuel P. Pereira, Luiz Minuzzo, Liliane de Fátima Antônio Oliveira, Manoel Jacobsen Teixeira, Henning Reis, Alexandre Carvalho, Sheila Cristina Ouriques Martins, Joaquim José de Carvalho, Otávio Gebara, Cosetta Minelli, Daniela Camargo de Oliveira, Antônio Carlos Sobral Sousa, A.C. Ferraz de Almeida, Marta Hernández, Matthias G. Friedrich, D Mota, Luiz Eduardo Fonteles Ritt, Desri Nova, Philip Teal, David J. Gladstone, A. Shuaib, Frank L. Silver, Dar Dowlatshahi, Daniel Cárcamo, Claudio Santibáñez, Esther Garcés, L.S. Liu, H.Y. Zhang, Hongbin Fang, Min Lian, Feng Shen, Feng Luo, Xin Wen, Zijie Xu, Zhenzhen Liu, Wei Qi Yan, Junzhi Yu, Wenzhi Wang, L.H. Liu, Yue Sun, Lei Zhou, Zuo‐Feng Zhang, Jun Lv, C.S. Zhang, G. Chen, H.L. Wang, Yu Chen, Heping Zheng, Jing Huang, W.Z. Li, L.J. Wang, Jianxin Shi, C.Y. Hu, Haifeng Song, Rui Ji, Dongliang Wang, Lingzhuang Meng, Qiang Meng, H.F. Liu, Yuzhou Luo, Qing Zhang, Y.B. Wu, Congrong Wang, Jianwei Zhao, Sumei Liu, C.L. Shi, X.Y. Wang, Dora I. Molina, T. Espinosa, Henry Garcia Lozada, Diego Gómez-Arbeláez, Paul Anthony Camacho, Thomas Truelsen, C. Back, Mette Merete Pedersen, Yan Duarte, Sonia Cevallos, Daniel Tettamanti, Silvia M. Caceres, H. C. Diener, AJ Grau, Joachim Röther, M. Ritter, Tim R. de Back, Yaroslav Winter, Prem Pais, Alben Sigamani, Nitin Mathur, P. Rahul, Arvind R. Murali, Ambuj Roy, G.R.K. Sarma, T. Matthew, G. Kusumkar, KA Salam, Ummer Karadan, Laila Achambat, Yatendra Singh, Jeyaraj Pandian, Ramesh Verma, Virendra Atam, Anubha Agarwal, Natarajan Chidambaram, R Umarani, Swapna Ghanta, G.K. Babu, G. Sathyanarayana, G Sarada, S. Navya Vani, Radhika Sundararajan, Shravan Sivakumar, Reena Wadia, S Bandishti, R. R. Agarwal, I. Mohan, S. Joshi, Suyash Kulkarni, S. Partha Saradhi, Pradeep Joshi, Madhuri Pandharipande, Nikhil S Badnerkar, Rajnish Joshi, Shriprakash Kalantri, S. Somkumar, Shelly Chauhan, Harpreet Singh, S. Varma, Gagandeep K Sidhu, Ranjit D. Singh, Kamal Bansal, Anil Bharani, Snehal Mahendra Pagare, Avinash Chouhan, Baidurjya Mahanta, TulikaGoswami Mahanta, G. Rajkonwar, SK Diwan, S Mahajan, Parvez A. Shaikh, H. R. Devendrappa, B. K. Agrawal, Amit Agrawal, Dheeraj Khurana, S. Thakur, Vipin Jain, Ahmad Bahonar, Roya Kelishadi, A. Hossienzadeh, M. Raeisidehkordi, Hamed Akhavan, Timothy R. Walsh, Osamah Albaker, A Chandramouli, Sazreza Shahadan, Zainab Auwalu Ibrahim, Azlan Husin, Viveta Lobo, Sabrina F Loureiro, Valério Govo, Rufus Akinyemi, Mayowa Owolabi, Mahmoud U. Sani, Lukman Owolabi, Romaina Iqbal, Auriba Raza, M. Lazo-Porras, Javier D Loza-Herrera, Ana Acuña-Villaorduña, Deborah Cárdenas-Montero, Antonio Dans, Eduardo Collantes‐Estévez, Diana J. Valencia Morales, Artemio Roxas, Maria Vanessa C. Villarruz-Sulit, Marta Skowrońska, Magdalena Restel, Anna Bochyńska, Kamil Chwojnicki, Marlena Kubach, A. Stowik, M. Wnuk, A. K. Ausheva, А. А. Карпова, V. V. Pshenichnikova, А. Л. Верткин, A. A. Kursakov, S. А. Boytsov, Raja Rizwan Hussain, L. Devilliers, D.S. Magazi, Bongani M. Mayosi, A. Bikhari, Z. Sawaraldahab, Hassan Hamad, M. ElTaher, Ali S. Abdelhameed, Mouyed Alawad, D. Alkabashi, H. Alsir, Martin Andreasson, Jimmy Johansson, Björn Cederin, C. Schander, A.C. Elgasen, Eric Bertholds, Kristina Bengtsson, Samart Nidhinandana, Pyatat Tatsanavivat, N. Paryoonwiwat, Niphon Poungvarin, Nijasri C. Suwanwela, Somsak Tiamkao, R. Tulyapornchote, Surat Boonyakarnkul, Suchat Hanchaiphiboolkul, Sombat Muengtaweepongsa, Kanokwan Watcharasaksilp, Pornchai Sathirapanya, Polchai Pleumpanupat, AAK Akalin, N. Isik, B. Sanlisoy, Ece Balkuv, Hülya Tireli, Vıldan Yayla, Murat Çabalar, Ayla Culha, Songül Şenadım, B. Arpacı, Colin Dayan, T. Argun, Serkan Yılmaz, Seçkin Çeliker, Abdülkadir Koçer, Talip Asıl, G. Eryigit, James Kayima, M. Nakisige, S. Kitoleeko, Afzalhussein Yusufali, Beyla Jamil Zuberi, H.Z. Mirza, Asmaa Saleh, J.M. BinAdi, Fatma Hussain, Keith W. Muir, James Walters, Christine McAlpine, Sandip Ghosh, Alex S. F. Doney, S. Claiborne Johnston, Paul N. Mudd, Toby Black, Peter J. Murphy, Damian Jenkinson, Deborah F. Kelly, Robert F. Whiting, Dipankar Dutta, Leslee J. Shaw, Claude McFarlane, ES Ronald, K. McBurnie

Bibliographic record

VenueThe Lancet · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsObservational studyStroke (engine)MedicineInternal medicine

Abstract

fetched live from OpenAlex
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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.038
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.080
GPT teacher head0.372
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations140
Published2018
Admission routes1
Has abstractno

Explore more

Same venueThe LancetSame topicAcute Ischemic Stroke ManagementFrench-language works237,207