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Record W2797765169 · doi:10.5737/23688076282132138

INTERNATIONAL COLUMN Effectiveness of acupressure on the experience of nausea and vomiting among patients receiving chemotherapy

2018· article· en· W2797765169 on OpenAlexvenueno aff
Anju Byju, Sheela Pavithran, Regina Antony

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsnot available
Fundersnot available
KeywordsNauseaRetchingVomitingAcupressureMedicineChemotherapyAnesthesiaInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

The study was conducted for a period of six weeks among 40 cancer patients selected by purposive sampling to explore the impact of acupressure on nausea and vomiting for patients receiving chemotherapy. Data were gathered using a semi-structured interview schedule, semi-structured questionnaire and Rhodes' index of nausea, vomiting and retching. The research design was a quasi experimental 'post-test only, control group design'. Data analysis was done using descriptive and inferential statistics involving frequency, percentage, Chi square and independent 't' test. Results of the study showed that the subjects in the experimental group experienced mild (65%) to moderate (35%) nausea and vomiting, whereas the subjects in the control group experienced moderate (35%) to severe (65%) nausea and vomiting, t (38)= 2.693, 8.270, 8.401 respectively for days 1, 2 and 3; p < 0.05). The results point to the fact that acupressure is effective in reducing nausea and vomiting among patients receiving chemotherapy.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.254

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.311
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2018
Admission routes1
Has abstractyes

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