Efficacy of acupressure on nausea and vomiting among children with leukemia following chemotherapy
Bibliographic record
Abstract
Background/Objective: Nausea and vomiting (N&V) remain the main side effects associated with cancer chemotherapy. This study determines the effect of acupressure on the control of N&V among children with leukemia receiving chemotherapy.Methods: This quasi-experiment study was conducted at two Pediatric Oncology Departments in South Egypt. Two groups of children with leukemia aging 6-18 years were included from October 2017 till March 2018. The study group (n = 60) received acupressure, while the control group (n = 60) didn’t. All were subjected to socio-demographic and clinical interview questionnaire and Rhodes Index for N&V Likert scale for assessment of frequency, duration, stress and severity of nausea and vomiting.Results: Both groups had similar demographic data, were similar in diagnosis, disease severity, family history of neoplasia, and experienced similar chemotherapy-related side effects. Significant reduction of frequency, distress and severity of nausea and frequency, duration and severity of vomiting in addition to mean scores N\&V scale among children of the study group after application of acupressure when compared to children in the control group.Conclusions: The application of acupressure at P6 in children with acute leukemia who were receiving chemotherapy led to significant reduction in the mean scores of N&V in addition to their frequency, duration and severity within 48 hours from the beginning of chemotherapy in comparison to the control group. Therefore, acupressure techniques showed be used to reduce chemotherapy induced N&V in children with leukemia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".