Association Between Discharge Medications and Oncologic Post‐Embolization‐Syndrome‐Related Outcomes
Bibliographic record
Abstract
BACKGROUND: Post-embolization syndrome after transarterial chemoembolization (TACE) and Yttrium-90 radioembolization (TARE) causes significant morbidity. Understanding whether discharge prescriptions influence short-term outcomes may guide standardized pain-management strategies. METHODS: A retrospective cohort study of 3191 patients (3988 procedures) with hepatocellular carcinoma from the Merative MarketScan Databases (2009-2022) was performed. The composite outcome was 7-day drug escalation or hospital readmission. Bivariate logistic regression identified candidate variables (p < 0.10); multivariable logistic regression with patient-clustered robust standard errors estimated adjusted odds ratios (aORs), adjusting for age, sex, and Charlson Comorbidity Index (CCI). RESULTS: Compared to patients discharged without opioids post-chemoembolization, those prescribed opioids at discharge had 83% lower odds of experiencing drug escalation or readmission (odds ratio [aOR] = 0.17, p < 0.001), and those undergoing radioembolization had 59% lower odds (aOR = 0.41, p < 0.001). Being prescribed antiemetics or steroids was also associated with lower odds of escalation/readmission events, with percentages varying by procedure type. CONCLUSIONS: Prescribing opioids, along with antiemetics and steroids, at discharge may reduce the likelihood of post-procedural events, such as drug escalation and readmission, in patients undergoing trans-arterial chemoembolization and radioembolization for hepatocellular carcinoma. These findings highlight the importance of a comprehensive pain management strategy in interventional oncology and warrant consideration in clinical practice guidelines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 teacher head, 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".