Application of 3M transparent dressing joint 3MTM CavilonTM No Sting Barrie Film in the skin care after peripherally inserted central catheter
Bibliographic record
Abstract
Objective To evaluate the skin protection of the 3M transparent dressing joint 3MTM CavilonTM No Sting Barrie Film after peripherally inserted central catheter (PICC). Methods A total of 120 PICC catheter patients with lung cancer (observation time last about 3 months from starting the rearing pipe on the day to pipe-taken) were selected. They were divided into 2 groups by random digits table method with 60 cases each. Control group was given 3M transparent dressings stick in the PICC fixed place skin. Observation group was given 3M transparent dressings paste joint 3MTM CavilonTM No Sting Barrie Film. The incidence of complications in the PICC fixed place skin were observed and compared between 2 groups. Results The skin allergy, phlebitis, skin damage, total complications were 5, 4, 1, 10 cases in control group after PICC catheter and 2, 1, 3, 6 cases in observation group, and there was significant difference in the incidence of the total complications, χ2=4.23, P<0.05. Conclusion Using 3M transparent dressings joint 3MTM CavilonTM No Sting Barrie Film for skin care after PICC catheter, can effectively protect the skin after PICC catheter, reduce the incidence of adverse reactions. Key words: Catheterization, central venous; Phlebitis; Skin; Nursing care; Bandages
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".