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Record W7124404968

Best evidences summary on acupressure relieved chemotherapy induced nausea and vomiting in patients with cancer

2020· article· zh· W7124404968 on OpenAlexaboutno aff
Sun Lingxue, Hu Sanlian, LIU Xinyi, Qian Huijuan

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languagezh
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsnot available
Fundersnot available
KeywordsAcupressureNauseaVomitingChemotherapy-induced nausea and vomitingGuidelineChemotherapyMEDLINESystematic reviewMedical literature
DOInot available

Abstract

fetched live from OpenAlex

ObjectiveTo retrieve,evaluate and summarize best evidences on acupressure relieved chemotherapy induced nausea and vomiting in patients with cancer.MethodsIt retried British Medical Journal Best Practice,Up To Date,Guidelines International Network,National Health and Healthcare,JBI COnNECT+,Cochrane evidence-based Medicine Database,Canada Registered Nurses' Association of Ontario,Mosby's Nursing Consult,Elsevier,OVID,PubMed,CNKI,Wanfang Data,VIP,CBM.All evidence on acupressure relieved chemotherapy induced nausea and vomiting in patients with cancer,including guidelines,evidence summaries and systematic evaluations,were collected.The quality of included literatures were evaluated.Then,evidences were extracted from literatures that met the quality standards.ResultsA total of 6 papers were included in this study,including 3 guidelines,3 systematic evaluations.3 guideline evidences showed that acupressure reduced nausea,retching and vomiting,but the effect was very small.It recommended taking this measure for individual patients according personal preference and professional judgment.The results of 3 systematic reviews showed that acupressure could eliminate symptoms of acute and delayed nausea.But it cannot be proven that acupressure could improve vomiting.ConclusionsPresent evidences showed that acupressure could partly relieve CINV in patients with cancer,but it needs more high⁃quality,large⁃sample clinical trials,more systematic reviews and evidence summary to prove the actual effect.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.262
GPT teacher head0.528
Teacher spread0.266 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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