ArticleScientific reports2025
Predictors of chemotherapy-related unplanned acute care in outpatients receiving oral anticancer drugs.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Machine Learning-based Prediction of Unplanned Acute Care in Outpatients Receiving S-1 Chemotherapy.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe adverse reactions to outpatient chemotherapy receiving oral anticancer drugs often lead to unplanned acute care (UAC) requirements, including unscheduled emergency visits and hospitalizations. These events result in treatment delay or interruption, which reduces the patients' willingness to continue treatment and negatively impacts their quality of life. The aim of this study was to identify predictive factors for UAC, helping promote safer outpatient chemotherapy through early intervention. A retrospective case-control study was conducted with patients receiving outpatient chemotherapy with oral anticancer drugs at the National Cancer Center Hospital East between April 1, 2020, and March 31, 2021. Patients who experienced UAC were identified as cases, and matched controls were selected from those who did not experience UAC. Conditional multivariate logistic regression analysis was performed to estimate adjusted odds ratios and 95% confidence intervals to examine the association between risk factors and UAC onset. Among cytotoxic drug users, increased blood urea nitrogen concentration and decreased serum sodium concentration were identified as factors associated with increased UAC risk. In molecular-targeted drug users, increased blood creatinine concentration was associated with increased UAC risk. These findings may help optimize patient management and reduce UAC rates in outpatient chemotherapy settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.