Worldwide Reported Use of IV Tissue Plasminogen Activator for Acute Ischemic Stroke
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Intravenous tissue plasminogen activator is the most effective treatment for acute ischemic stroke, and its use may therefore serve as an indicator of the available level of acute stroke care. The greatest burden of stroke is in low- and middle-income countries, but the extent to which intravenous tissue plasminogen activator is used in these countries is unreported. SUMMARY OF REVIEW: A systematic review was performed searching each country name AND 'stroke' OR 'tissue plasminogen activator' OR 'thrombolysis' using PubMed, Embase, Global Health, African Index Medicus, and abstracts published in the International Journal of Stroke (Jan. 1, 1996-Oct. 1, 2012). The reported use of intravenous tissue plasminogen activator was then analyzed according to country-level income status, total expenditure on health per capita, and mortality and disability-adjusted life years due to stroke. There were 118,780 citations reviewed. Of 214 countries and independent territories, 64 (30%) reported use of intravenous tissue plasminogen activator for acute ischemic stroke in the medical literature: 3% (1/36) low-income, 19% (10/54) lower-middle-income, 33% (18/54) upper-middle-income, and 50% (35/70) high-income-countries (test for trend, P < 0.001). When considering country-level determinants of reported intravenous tissue plasminogen activator use for acute ischemic stroke, total healthcare expenditure per capita (odds ratio 3.3 per 1000 international dollar increase, 95% confidence interval 1.4-9.9, P = 0.02) and reported mortality rate from cerebrovascular disease (odds ratio 1.02, 95% confidence interval 0.99-1.06, P = 0.02) were significant, but reported disability-adjusted life years from cerebrovascular diseases and gross national income per capita were not (P > 0.05). Of the 10 countries with the highest disability-adjusted life years due to stroke, only one reported intravenous tissue plasminogen activator use. CONCLUSIONS: By reported use, intravenous tissue plasminogen activator for acute ischemic stroke is available to some patients in approximately one-third of countries. Access to advanced acute stroke care is most limited where the greatest burden of cerebrovascular disease is reported.
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.010 | 0.019 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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.
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".