Oral care associated with a stay in an intensive care unit (ICU): A systematic review of clinical practice guidelines and scientific statements
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
The aim of the present systematic review was to critically evaluate the recommendations from evidencebased clinical practice guidelines (CPG) and scientific statements (SS), as well as expert consensus, related to the management of oral complications in intensive care unit (ICU) patients.A search was made in the PubMed, Scopus, Ovid/Cochrane, and LILACS databases, following the CPG identification filters from the Canadian Agency for Drugs and Technologies in Health (CADTH). Both scientific repositories and document references were incorporated as well. The critical assessment was performed by means of the AGREE-II instrument (an ideal scenario) for CPG and SS, and using the AGREEREX instrument for recommendations (ideal and local scenarios).A total of 13 related recommendations from 4 SS were included. The mean score in AGREE-II was 58.25. The mean AGREE-REX scores were 45.82 and 39.07 for the ideal and local scenarios, respectively. The included recommendations focused on the oral care assessment, and the development of prevention and execution tools with regard to respiratory infections.There is a lack of CPG following a rigorous methodology that would incorporate recommendations for oral care in ICU. Dentists are responsible for the development and improvement of recommendations from CPG and/or SS to mitigate oral complications in ICU patients.
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 | 0.003 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it