Body image interventions within breast cancer care: A systematic review and concept analysis
Bibliographic record
Abstract
There needs to be a consensus regarding the definition of body image in oncology the literature. This lack of agreement leads to conflicting results in psychosocial interventions aimed to improve body image among breast cancer patients. Through an instrumentalist approach, this systematic review aims to analyze how body image as a concept is described and operationalized in breast cancer studies with the focus to enhance body image through psychosocial interventions. Databases were searched in October 2022 and updated in February 2023 to find empirical studies reporting psychosocial intervention targeting body image efficacy. The results from 24 studies show many similarities and differences between the definitions (e.g. characteristics) and questionnaires (e.g. Cronbach's alpha coefficient) used to evaluate this concept. Most definitions include thoughts, feelings, and behaviors related to body image. Finally, the psychosocial implications are discussed. This systematic review is registered on the International Prospective Register of Systematic Reviews (PROSPERO; CRD42022326393).
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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 | 0.014 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".