The impact of breast cancer on social cognition in female Colombian patients
Bibliographic record
Abstract
BACKGROUND: The high prevalence of female breast cancer is a global health concern. Breast cancer and its treatments have been associated with impairments in general cognition, as well as structural and functional brain changes. Considering the social challenges that some of these patients face, it is important to understand the socio-emotional effects of breast cancer as well. Nevertheless, the impact of breast cancer on social cognition has remained underexplored. The objective of this study was to assess social cognition domains and other relevant cognitive and emotional variables (executive functions, anxiety, or depression) in females with breast cancer. METHODS: The participants were 29 female patients diagnosed with breast cancer and 29 female healthy controls. We assessed emotion recognition, theory of mind, empathy, and moral emotions. We also included measures of general cognitive functioning, quality of life, anxiety, and depression. Linear multiple regressions were performed to assess whether the group (patients or controls), GAD-7 scores, emotional and social subscales of EORTC QLQ-C30, and IFS scores predicted the social cognition variables (EET, RMET, MSAT). RESULTS: Patients with breast cancer showed impairments in emotion recognition and in affective theory of mind. In addition, patients had lower scores in some executive functions. Only theory of mind between group differences remained significant after Bonferroni correction. Emotion recognition was associated with executive functioning, but anxiety levels were not a significant predictor of the changes in social cognition. CONCLUSIONS: Social cognition impairments, especially in theory of mind, may be present in breast cancer, which can be relevant to understanding the social challenges that these patients encounter. This could indicate the need for therapeutic interventions to preserve social cognition skills in patients with breast cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".