Comparison of the Quality of Life of Patients with Breast or Colon Cancer with an Arm Vein Port (TIVAD) Versus a Peripherally Inserted Central Catheter (PICC)
Bibliographic record
Abstract
Introduction: Venous access is a crucial element in chemotherapy delivery. It remains unclear whether cancer patients prefer a port to a peripherally inserted central catheter (PICC). Our study aimed to assess cancer patients’ satisfaction with their venous access device and to compare the quality of life (QoL) of subjects with a PICC to those with a port. Methods: In this prospective cohort study, EORTC QLQ-C30, and a locally developed quality of life survey (QLAVD), designed to assess satisfaction with venous access devices, were administered to breast or colorectal cancer patients over a one-year period following the device insertion. Mixed effects models were used to assess changes on mean scores at different time points. Results: A total of 101 patients were recruited over a three-year period, (PICC group, n = 50; port group, n = 51). Survey response rates for months one and three were 72% and 48%, respectively. Overall, no significant differences were noted between the two groups in relation to EORTC QOL. At three months, the mean pain scores were 3.5 ± 2.3 for the port and 1.3 ± 0.75 for PICC (<0.001). The mean score for a negative effect of the venous access device on psychosocial well-being was 6.0 ± 4.1 for PICC and 3.0 ± 2.7 for the port (p = 0.005). Complications related to PICCs occurred in 38% patients versus 41% with a port (p > 0.24). Conclusions: Although subjects with a port experienced more pain during the device insertion or access for chemotherapy, it had a smaller negative impact on psychosocial scores than the PICC. No significant differences in complications rates were observed between the two devices.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".