Device exchange versus nonexchange modalities in left ventricular assist device‐specific infections: A systematic review and meta‐analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
No standardized treatment algorithm exists for the management of continuous-flow left ventricular assist device (CF-LVAD)-specific infections. The aim of this systematic review and meta-analysis was to compare the outcomes of CF-LVAD-specific infections as managed by device exchange to other treatment modalities not involving device exchange. Electronic search was performed to identify all studies in the English literature relating to the management of CF-LVAD-specific infections. All identified articles were systematically assessed for selection criteria. Thirteen studies with 158 cases of CF-LVAD-specific infection were pooled for analysis. Overall, 18/158 (11.4%) patients underwent CF-LVAD exchange, and 140/158 (88.6%) patients were treated with non-exchange modalities. The proportion of patients with isolated driveline infections or pump or pocket infections did not differ significantly between the groups. During a mean follow-up of 290 days, there were no significant differences in the overall mortality [exchange 17.6% (4.3-50.6) vs. non-exchange 23.3% (15.8-32.9), P = 0.67] and infection recurrence rates [exchange 26.7% (8.7-58.0) vs. non-exchange 38.6% (15.4-68.5), P = 0.56]. In the setting of CF-LVAD-specific infections, device exchange does not appear to confer an advantage in the overall mortality and infection recurrence as compared to non-exchange modalities.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| 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) | 0.002 | 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 it