COSTS ASSOCIATED WITH SURGICAL SITE INFECTIONS AMONG PATIENTS UNDERGOING INTRACRANIAL PROCEDURES: A SCOPING REVIEW PROTOCOL
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
Abstract Objective: To map the available evidence regarding the direct costs associated with the care of central nervous system infection among patients undergoing intracranial procedures. Introduction: Surgical site infections (SSIs) compromise the recovery of neurocritical patients and are a significant source of morbidity and mortality. Additionally, SSIs are directly associated with increased healthcare costs and pose a challenge to the sustainability of healthcare systems. Inclusion criteria: This review will include scientific studies involving adults (aged 18 and over). Observational studies such as exploratory studies, case reports, case series, cross-sectional studies, cohort studies, case-control studies, and before-and-after studies will be included. Intervention studies, including pilot studies, quasi-experimental studies, and randomized controlled trials, will also be eligible. This review will not include abstracts from conference proceedings and any kind of literature review. Methods: Electronic databases (PubMed/Medline, Embase, CINAHL, Scopus, Web of Science, EconLit, and the LILACS) will be searched from their inception without language restrictions. The search strategy has been developed using controlled vocabulary and keywords identified through the Population, Concept, and Context (PCC) framework. Grey literature will also be systematically searched in databases like CAPES Banco de Teses e Dissertações (Brazil), Open Access Theses and Dissertations (OATD), the Canadian Dissertation and Thesis Portal, Teseo and Google Scholar. The search will be conducted in late February 2025. The research question was formulated. The synthesis of the results will be in a qualitative way. Keywords: Surgical site infection; Hospital costs; Intracranial procedures; Intracranial surgery.
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 it