The Consequences of Transcatheter Arterial Chemoembolization in Patients with Liver Cancer
Bibliographic record
Abstract
Background : Liver cancer is one of the common cancers. Despite many advances in medical sciences, it continues to be one of the main problems in the care systems. Diagnosis of the disease and its treatments result in many problems for affected patients. The purpose of this study was to assess the consequences of transcatheter arterial chemoembolization. Method: The study was performed on 84 patients at Imam Khomeini Hospital in Tehran, using available sampling methods. Questionnaires on cancer treatments, Fatigue Severity Scales, Hospital Anxiety and Depression Scales, Edmonton Symptoms Scales, and demographic characteristics were filled before and after treatment. Data were analyzed using SPSS software version 21. Descriptive statistics, t test, and correlation test were used as appropriated. Result : The study showed many consequences such as anxiety, pain, and fatigue. Mean physical and psychological outcomes after treatment showed a significant increase (P˂0.05), which led to a significant decrease in FACT??. Conclusion : Consequences have an inverse and significant relationship with patients’ performances and their quality of life. Due to the direct effects of consequences on life, they should be reduced or eliminated.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".