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Record W7073539282

Non-pharmacological interventions for side effects of antineoplastic chemotherapy prioritized by patients: systematic review

2024· article· en· W7073539282 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionObservational studySystematic reviewIntervention (counseling)MEDLINEChemotherapyNauseaMeta-analysis
DOInot available

Abstract

fetched live from OpenAlex

Highlights This systematic review represents the standard of evidence used to describe non-pharmacological interventions and alternative therapies to manage antineoplastic chemotherapy's side effects. The secondary symptoms of antineoplastic chemotherapy were a priority for patients and caregivers, who identified specific non-pharmacological interventions for each prioritized symptom. The need for standardizing interventions and outcome assessment criteria is highlighted, which would facilitate the development of primary studies and their inclusion in systematic reviews. The need for studies to evaluate the effect and safety of non-pharmacological interventions for the care of patients diagnosed with cancer is emphasized. Introduction: Different non-pharmacological interventions have been studied to manage symptoms derived from chemotherapy, but their effectiveness is unknown. Objective: To describe non-pharmacological interventions for managing symptoms secondary to antineoplastic chemotherapy in adults. Materials and Methods: Systematic review of analytical experimental and observational studies (2021 to 2023). The studies were selected, and data was extracted in parallel. Discrepancies were resolved with a third reviewer. The risk of bias was assessed using the Risk of Bias (RoB) tool and The Newcastle-Ottawa Scale (NOS). The literature was synthesized descriptively based on prioritized outcomes. Results: The prioritized outcomes were neutropenia, pain, neuropathy, nausea, vomiting, alopecia, anorexia, and sleep disorders. Out of 7520 references found, 62 were included for analysis. Acupressure showed a possible effect in controlling symptoms such as nausea and vomiting. The intervention with cold on the scalp showed differences in the stages of alopecia severity. Other interventions showed heterogeneity. Discussion: Non-pharmacological interventions have been widely described in observational and experimental studies in the control of side effects of chemotherapy; however, there is homogeneity and a high risk of bias. Conclusion: Acupressure, muscle massage, music therapy, foot baths, and other interventions have been studied for nausea, vomiting, sleep disorders, neutropenia, alopecia, anorexia, pain, and neuropathy as secondary symptoms prioritized by patients. It is necessary to standardize both the interventions and how measure the outcomes. How to cite this article: Gómez-Neva María Elizabeth, Pulido Ramirez Edwin, Ibañez Rodriguez Leidy Johana, Caroprese Oscar, Buitrago-Lopez Adriana. Non-pharmacological interventions for side effects of antineoplastic chemotherapy prioritized by patients: systematic review. Revista Cuidarte. 2024;15(3):e3612. https://doi.org/10.15649/cuidarte.3612

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 imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.089
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.089
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.009
Bibliometrics0.0090.011
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.256
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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