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Record W4220866346 · doi:10.1161/svin.121.000218

Understanding Physician and Patient Preferences for Thrombolysis in Ischemic Stroke Eligible for Endovascular Thrombectomy

2022· article· en· W4220866346 on OpenAlexaff
Nishita Singh, Nima Kashani, Aravind Ganesh, Carol Kenney, David Ben‐Israel, Raed A. Joundi, Aristeidis H. Katsanos, Anas Alrohimi, Fouzi Bala, Michel Shamy, Aleksander Tkach, Richard H. Swartz, Brian Buck, Andrew M. Demchuk, Michael D. Hill, Kednapa Thavorn, Tolulope T. Sajobi, Mohammed Almekhlafi, Dar Dowlatshahi, Bijoy K. Menon

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsSunnybrook Health Science CentreUniversity of OttawaMcMaster UniversityUniversity of AlbertaPopulation Health Research InstituteUniversity of TorontoHamilton Health SciencesOttawa HospitalKelowna General HospitalFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsMedicineThrombolysisStroke (engine)GroinTenecteplaseEmergency medicineFibrinolytic agentFamily medicineTissue plasminogen activatorInternal medicineSurgeryMyocardial infarction

Abstract

fetched live from OpenAlex

Background: In light of evidence from recent trials that endovascular thrombectomy (EVT) alone may potentially be noninferior to combined treatment, that is, with intravenous thrombolysis (IVT) with alteplase and EVT, we sought to understand physician and patient preferences around this issue. Methods: We conducted a 2-stage mixed methods study that included a structured, international, web-based cross-sectional survey among stroke physicians, and a focus group involving stroke survivors and caregivers. Demographic information was collected from all participants. The survey offered multiple choice questions and options to respond via free text which was analyzed quantitatively. The focus group was conducted online and analyzed qualitatively using a grounded theory approach. Results: A total of 225 physicians (67% men) from 44 countries completed the survey. Most participants (70%) were between 31 and 50 years of age. Survey results showed that in current practice, 90% respondents would offer IVT to patients with large vessel occlusion stroke eligible for both IVT and EVT. When asked if their practice would change in light of recent trials, 63% responded no. When asked about the appropriate timing for IVT in the setting of large vessel occlusion stroke with EVT availability, 56% preferred to administer IVT immediately, 21% were willing to defer the decision for 30 minutes from groin puncture, and 8% were willing to defer for 60 minutes from groin puncture to assess if reperfusion was achieved with EVT. A total of 61% participants would choose to use tenecteplase over alteplase as the preferred drug for IVT if both drugs are backed by evidence. The focus group identified a need to better understand patient characteristics that may benefit from EVT-only or combined strategies. The focus group also identified the need for more data to inform physician decision making. Conclusions: Most physicians surveyed prefer IVT before EVT in patients with acute ischemic stroke attributable to large vessel occlusion, although there was some uncertainty around this issue. The need for further studies, including data on IVT with tenecteplase and among various patient subgroups to inform decision making, was apparent from both the survey and the patient focus group.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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)0.005
metaresearch head score (Gemma)0.024
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 score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.276
Teacher spread0.233 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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