MétaCan
Menu
Back to cohort
Record W4297910358 · doi:10.7759/cureus.29519

Alexithymia May Be Associated With Depression in Early-Stage Breast Cancer Patients

2022· article· en· W4297910358 on OpenAlexaboutno aff
Pınar Eraslan, Aysegul İlhan, Cengiz Karaçin, Berna Öksüzoğlu

Bibliographic record

VenueCureus · 2022
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAlexithymiaDepression (economics)Breast cancerStage (stratigraphy)CancerOncologyInternal medicinePsychiatryClinical psychology

Abstract

fetched live from OpenAlex

Background Depression, anxiety, or both are common in women with early-stage breast cancer (BC). A relationship is known between low perceived social support (PSS) and depression. We aimed to investigate the relationships between alexithymia, PSS, and Beck Depression Inventory (BDI) score in patients diagnosed with early-stage BC. Materials and methods A demographic and medical information form, BDI, the 20-item Toronto Alexithymia Scale (TAS-20), and the Multidimensional Scale of PSS (MSPSS) were given to 200 early-stage BC patients to respond. Two subgroups were created as group A (BDI score < 17) and group B (BDI score ≥ 17) and compared in terms of sociodemographic characteristics, TAS-20, and MSPSS scores. Results Twenty-six (18.1%), 48 (33.3%), and 26 (18.1%) patients were with high BDI scores, in low PSS status, and alexithymic, respectively. The median ages of the participants in group A and group B were 53.4 (interquartile range (IQR): 46-60.7) and 46 (IQR: 41.5-59) years, respectively (p = 0.083). The rates of single participants (26.9% versus 11%, p = 0.055), alexithymic participants (42.3% versus 12.7%, p = 0.001), low PSS levels (57.7% versus 28%, p = 0.018), psychiatric treatment history (46.2% versus 22%, p = 0.025), and patients with low income (57.7% versus 22.9%, p = 0.001) were higher in group B than in group A. In the multivariate regression model that contains the parameters mentioned above, psychiatric treatment history (odds ratio (OR): 2.758, 95% confidence interval (CI): 1.034-7.356, p = 0.043), low-income status (OR: 3.503, 95% CI: 1.336-9.182, p = 0.011), and alexithymia (OR: 3.482, 95% CI: 1.229-9.867, p = 0.019) were independent predictive factors for a high BDI. Conclusion Alexithymia and low PSS are significantly common in patients with prominent depressive symptoms in early-stage BC patients. Alexithymia may be associated with depression and may also have a role in depression pathogenesis in early-stage BC patients. New studies are needed to investigate whether there is a causal relationship between alexithymia and depression.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.272
Teacher spread0.257 · 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

Labeled directly by 2 models reading the full record.

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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCureusSame topicPsychosomatic Disorders and Their TreatmentsFrench-language works237,207