Arm placement of the Cook titanium Petite Vital-Port: results of radiologic placement in 125 patients with cancer.
Bibliographic record
Abstract
OBJECTIVE: Patients with cancer require reliable venous access for therapy and phlebotomy. Traditionally, insertion of venous ports has been performed in the operating room. However, the interventional radiology service has recently become involved in the placement of a variety of venous access devices. This study examines the technique and complications associated with the placement of venous ports in the arm for patients with cancer. METHODS: Cook titanium Petite Vital-Ports (Cook Canada, Stouffville, Ont.) were implanted in patients with cancer, and implantation was performed in the medical imaging vascular/interventional suite. Patients were followed prospectively by periodic chart review for a maximum of 42 months after port insertion. Minimum follow-up in patients who did not die from cancer was 6 months. RESULTS: The authors implanted 125 Vital-Ports. The mean duration of port implantation was 265 days (range 2 to 1278 days, total catheter days 33 221). Venous thrombosis developed in 5 patients (4%, or 0.06 episodes/1000 catheter days). Four patients (3.2%, or 0.12 episodes/1000 catheter days) had suspected infection of the port or catheter, and 2 had culture-positive infection (1.6%, or 0.06 episodes/1000 catheter days). Two patients (1.6%, or 0.06 episodes/1000 catheter days) required port or catheter revision owing to mechanical difficulties. CONCLUSION: The Cook titanium Petite Vital-Port, implanted in the arm in the medical imaging vascular/interventional suite, is relatively safe and effective. As a result, it has been widely accepted by the patients and clinicians at the hospital where this study was conducted.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".