Representativeness of the Get With The Guidelines–Stroke Registry
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Get With The Guidelines (GWTG)-Stroke is a large quality improvement-based registry of acute stroke; however, its generalizability is unclear. We used fee-for-service Medicare claims to ascertain the representativeness of ischemic stroke admissions in GWTG-Stroke. METHODS: All 228 815 ischemic stroke admissions aged ≥65 years enrolled in GWTG-Stroke between April 2003 and December 2007 were linked to 926 756 unique fee-for-service Medicare patients with ischemic stroke (primary International Classification of Diseases, 9th Revision discharge code 434 or 436) from the same period. Patient characteristics and in-hospital outcomes were compared between the linked GWTG-Stroke Medicare cohort and the remaining unlinked Medicare cohort. Characteristics of GWTG-Stroke hospitals were compared with non-GWTG-Stroke hospitals. RESULTS: A total of 144 344 of the 228,815 GWTG-Stroke admissions (63.1%) were successfully linked to the 926 756 Medicare ischemic stroke beneficiaries, leaving 782 412 unlinked Medicare patients. Differences in patient characteristics, including age, race, gender, and comorbidities, between the linked and unlinked Medicare cohorts were minimal. Length of stay and rate of discharge home were almost identical between the linked and unlinked groups; however, in-hospital mortality was slightly lower in the linked Medicare cohort (6.3%) compared with the unlinked cohort (7.0%). There were large differences in hospital characteristics between GWTG-Stroke and non-GWTG-Stroke hospitals; GWTG-Stroke hospitals tended to be larger, urban, teaching centers. CONCLUSIONS: Despite substantial differences between GWTG-Stroke and non-GWTG-Stroke hospitals, Medicare beneficiaries with acute ischemic stroke entered in the GWTG-Stroke program were similar to other Medicare beneficiaries. These data suggest that the Medicare-aged GWTG-Stroke ischemic stroke admissions are generally representative of the national fee-for-service Medicare ischemic stroke population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".