← Back to cohort
Efficacy and safety of minimally invasive surgery with thrombolysis in intracerebral haemorrhage evacuation (MISTIE III): a randomised, controlled, open-label, blinded endpoint phase 3 trial
Joshua N. Goldstein, Richard E. Thompson, Michael Rosenblum, Gayane Yenokyan, Karen Lane, Nichol McBee, Steven Mayo, Amanda J. Bistran-Hall, Dheeraj Gandhi, W. Andrew Mould, Natalie Ullman, Hasan Ali, J. Ricardo Carhuapoma, Carlos S. Kase, Kennedy R. Lees, Jesse Dawson, Alastair Wilson, Joshua Betz, Elizabeth A. Sugar, Yi Hao, Radhika Avadhani, Jean-Louis Caron, Mark R. Harrigan, Andrew P. Carlson, Diederik Bulters, Judy Huang, Cully A. Cobb, Gaurav Gupta, Ryan S. Kitagawa, Michael R. Chicoine, Hiren C. Patel, Robert Dodd, Paul J. Camarata, Stacey Q Wolfe, Agnieszka Stadnik, Patricia Lynn Money, Patrick Mitchell, Rosario Sarabia, Sagi Harnof, Pál Barzó, Andreas Unterberg, Jeanne Teitelbaum, Weimin Wang, A. D. Mendelow, Barbara Gregson, Scott Janis, Paul Vespa, Wendy Ziai, Mario Zuccarello, Issam A. Awad, Azmil H. Abdul‐Rahim, Amal Abou‐Hamden, Michael Abraham, Azam Ahmed, Carlos Alarcon Alba, E. François Aldrich, David Altschul, Sepideh Amin‐Hanjani, Doug Anderson, Safdar Ansari, David Antezana, Agnieszka Ardelt, Fuat Arikán, M. Báguena, Alexandra Baker, Steven J. Barrer, Kyra J. Becker, Thomas Bergman, Azize Boström, Jamie Braun, Peter G. Brindley, William C. Broaddus, Robert H. Brown, András Büki, Bing Cao, Ying Cao, Julián Carrión‐Penagos, Julio A. Chalela, Tiffany Chang, Indalecio Moran Chorro, Shakeel Chowdhry, Luisa Corral, László Csiba, Jason M. Davies, Alberto Torres Díaz, Colin P. Derdeyn, Michael N. Diringer, Rachel Dlugash, Robert D. Ecker, Tracey Economas, Pedro Enríquez, Erzsébet Ezer, Yuhua Fan, Hua Feng, Douglas Franz, William D. Freeman, Matthew R. Fusco, Walter Galicich, Mary Leigh Gelea, Joshua Goldstein, Alejandro Carrasco Gonzalez, Christina Grabarits, Steven M. Greenberg, Daryl R. Gress, Eugene Gu, Christiana E. Hall, F. Muñoz, Robert Hoesch, Brian L. Hoh, Jennifer Houser, Rong Hu, Yi Huang, Mohammed Akbar Hussain, Salvatore Insinga, Ashutosh P. Jadhav, Jennifer Jaffe, Babak S. Jahromi, Jack Jallo, Michael L. James, Robert F. James, Brian T. Jankowitz, Esther Jeon, Draga Jichici, Karin Jonczak, Ben Jonker, Nicki Karlen, Naureen Keric, Thomas Kerz, Jared Knopman, Carolyn Koenig, Satish Krishnamurthy, Avinash B. Kumar, Inam Kureshi, John D. Laidlaw, Arun Lakhanpal, Julius Gene Latorre, Dana Leifer, James Leiphart, Sarah Lenington, Yunke Li, George Α. Lopez, Darren Lovick, C. B. Lumenta, Jinbiao Luo, Matthew B. Maas, Joel MacDonald, Larami Mackenzie, Vikram Madan, Ryan Majkowski, Ottó Major, Rishi Malhorta, Marc Malkoff, Halinder S. Mangat, Ahmed Maswadeh, Charles Matouk, Kate McArthur, Scott McCaul, Joshua E. Medow, G Mezey, Janet Mighty, David Miller, Krishna Mohan, Keith W. Muir, Lorenzo Muñoz, Peter Nakaji, Alex Nee, Saman Nekoovaght-Tak, Paul Nyquist, Roddy O’Kane, Mohamed Okasha, Cian O′Kelly, Noeleen Ostapkovich, Aditya S. Pandey, Adrian Parry‐Jones, Krissia M. Rivera Perla, Ania Pollack, Sean P. Polster, Nader Pouratian, Ventatakrishna Rajajee, Kesava Reddy, Mohammed Rehman, Ronald Reimer, Fred Rincón, Igor Rybinnik, B. Sánchez, Lauren Sansing, Michael Schneck, Ludwig Schuerer, David B. Schul, Jeffrey S. Schweitzer, David B. Seder, Donald Seyfried, Kevin N. Sheth, Alejandro M Spiotta, Michael T. Stechison, Katalin Szabó, Gonzalo Tamayo, Krisztián Tánczos, Philipp Taussky, John B. Terry, Fernando D. Testai, Kathrine Thomas, Carol B. Thompson, Gregory Thompson, James C. Torner, Huy Tran, Kristi Tucker, Lior Ungar, Panos Varelas, Nataly Montano Vargas, Hartmut Vatter, Chitra Venkatasubramanian, Krista Vermillion, Dennis G. Vollmer, Yan Wang, Ying Wang, Jiajun Wen, Louis Tony Whitworth, Byron Willis, Myriha Wrencher, Shawn E. Wright, Yong-ge Xu, Lisa R Yanase, Xuxia Yi, Zhiyuan Yu, Ali Zomorodi
Bibliographic record
VenueThe Lancet · 2019
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersNational Institute of Neurological Disorders and StrokeGenentechNewcastle UniversityNational Institutes of HealthUniversity of GlasgowEuropean Commission
KeywordsMedicineModified Rankin ScaleClinical endpointIntracerebral hemorrhageRandomized controlled trialSurgeryGlasgow Coma ScalePopulationIntention-to-treat analysisThrombolysisStroke (engine)AnesthesiaInternal medicineIschemic stroke
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)0.003
metaresearch head score (Gemma)0.004
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 score0.007
Threshold uncertainty score0.023
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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 head0.063
GPT teacher head0.345
Teacher spread0.282 · 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
Citations899
Published2019
Admission routes1
Has abstractno