Perfusion CT for Selecting Patients with Acute Ischemic Stroke for Intravenous Thrombolytic Therapy
Bibliographic record
Abstract
PURPOSE: To determine rates of death, disability, and symptomatic intracranial hemorrhage ( SICH symptomatic ICH ) among patients with acute ischemic stroke selected for thrombolytic therapy by using perfusion computed tomography (CT) by conducting a systematic review and meta-analysis. MATERIALS AND METHODS: A search of the literature up to July 2012 was performed by using MEDLINE, EMBASE, the Cochrane Library, PubMed, and Google Scholar on terms including "brain ischemia" and "perfusion imaging." The search was unrestricted by language of publication. Two reviewers extracted study data and independently assessed the risk of study bias. Outcomes of patients selected by using perfusion CT, including case-fatality rate, favorable outcome (modified Rankin Scale [ mRS modified Rankin Scale ] score, ≤2), and rates of SICH symptomatic ICH , were estimated. RESULTS: Thirteen experimental or observational studies that included patients who received intravenous thrombolytic treatment after perfusion CT were identified. The methodologic quality of the small studies was generally good. Overall, 90-day mortality was 10.0% (95% confidence interval [ CI confidence interval ]: 5.4%, 15.9%). Among patients treated within 3 hours of symptom onset, mortality was 12.5% (95% CI confidence interval : 6.7%, 19.7%), a favorable outcome ( mRS modified Rankin Scale score, ≤2) was seen in 42.5% of patients (95% CI confidence interval : 16.6%, 70.9%), and the SICH symptomatic ICH rate was 3.3% (95% CI confidence interval : 0.7%, 7.7%). Among patients treated more than 3 hours after symptom onset, mortality was 2.9% (95% CI confidence interval : 0.0%, 12.7%), 69.9% of patients (95% CI confidence interval : 0%, 83.5%) had a favorable outcome, and the SICH symptomatic ICH rate was 3.9% (95% CI confidence interval : 0.8%, 9.2%). CONCLUSION: The outcomes (mortality, morbidity, and SICH symptomatic ICH rates) for patients selected with perfusion CT to receive intravenous thrombolytic treatment more than 3 hours after symptom onset appear favorable.
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 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.012 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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.
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".