Prevalence of complications associated with the use of a peripherally inserted central catheter in newborns: A systematic review protocol
Bibliographic record
Abstract
BACKGROUND: The improper handling of a peripherally inserted central catheter (PICC) in newborns (NBs) may result in mechanical and infectious complications. AIM: The aim of this systematic review (SR) is to estimate the prevalence of complications associated with the use of PICC in NBs. METHODS: We will utilize PubMed, Embase, CENTRAL, Web of Science, Scopus, Cochrane Library, CINAHL, and Google Scholar for the databases search. There will be no restrictions on the search for languages, and observational studies will be selected wherein the prevalence rate of complications associated with the use of PICC in NBs has been presented or can be calculated. The systematic review will follow the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Two reviewers will independently select studies and assess their eligibility using predefined criteria. Using standardized forms, two other reviewers will independently extract data from each included study, and the random-effects pooled prevalence will be calculated in the meta-analysis with the respective 95% confidence intervals. The methodological quality of the studies will be assessed using the modified Newcastle-Ottawa Scale. Review Manager V.5.3.5 will be used for the qualitative and quantitative synthesis. A protocol was developed and published on PROSPERO (Registration number CRD42020211983). EXPECTED RESULTS: This SR will show the prevalence of complications caused by the inadequate management of PICC in NBs, which is information considered important for clinical practice improvement.
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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 | 0.073 | 0.076 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.019 | 0.017 |
| Bibliometrics | 0.015 | 0.012 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.060 | 0.007 |
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".