Trial reportComputers, informatics, nursing : CIN2022
A Decision Tree Analysis on the Impact of a Technology-Based Program on Symptom Distress: Asian American Breast Cancer Survivors.
Trial report in Computers, informatics, nursing : CIN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- A Decision Tree Analysis on Symptom Experience of Asian American Breast Cancer Survivors.Western journal of nursing research · 2023Trial
- A multimodal imaging-based decision tree for preoperative axillary risk stratification in breast cancer: a retrospective clinical utility analysis.American journal of cancer research · 2026Article
- Differentiating Pressure Ulcer Risk Levels through Interpretable Classification Models Based on Readily Measurable Indicators.Healthcare (Basel, Switzerland) · 2024Article
- The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide.Technology in cancer research & treatmentReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Using a decision tree analysis, this study aimed to identify the characteristics of the groups within Asian American breast cancer survivors whose symptom distress scores were effectively improved by a technology-based program. This was a secondary analysis of the data from an ongoing randomized controlled trial among 115 Asian American breast cancer survivors. The instruments were questions on background factors; the Memorial Symptom Assessment Scale-Short Form; the Cancer Behavior Inventory; the Questions on Attitudes, Subjective Norm, Perceived Behavioral Control, and Behavioral Intention; and the Supportive Care Needs Survey-Short Form 34. The data were analyzed using chi-square tests, t tests, repeated measurement analyses, and decision tree analyses. The decrease in the global distress index scores was the largest (1.253 points) among those with high psychological support needs. The decrease in the physical symptom distress scale scores was the largest (1.133 points) among those with high physical and daily living support needs who had a short US residence period and who were young. The decrease in the psychological symptom distress scores was the largest (1.511) among those with high psychological support needs. The findings suggest several characteristics of the groups within Asian American breast cancer survivors whose symptom distress could be highly improved by a technology-based intervention.
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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.