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Record W4414451812 · doi:10.1002/cncr.70094

Prognostic value of patient‐reported depression in women with hormone‐responsive early breast cancer in TEXT and SOFT

2025· article· en· W4414451812 on OpenAlexaff
Karin Ribi, Bernard F. Cole, Gini F. Fleming, Barbara Walley, Prudence A. Francis, Ehtesham Abdi, Harold J. Burstein, Kit Cheng, Stephen Chia, Shaker R. Dakhil, Nancy E. Davidson, Stephen Della‐Fiorentina, Ashley Frith, Ellis Levine, Sasha Lupichuk, Kathleen I. Pritchard, Muhammad Salim, Vered Stearns, Josephine Stewart, Vicente Valero, André van der Westhuizen, Olivia Pagani, Sherene Loi, Marco Colleoni, Richard D. Gelber, Aron Goldhirsch, Alan S. Coates, Meredith M. Regan, Jürg Bernhard

Bibliographic record

VenueCancer · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsSaskTel (Canada)Alberta Cancer FoundationSunnybrook Health Science CentreCanadian Cancer SocietyBC Cancer AgencyUniversity of ReginaUniversity of Calgary
FundersNational Cancer InstitutePfizer
KeywordsDepression (economics)Value (mathematics)Breast cancerCancerMEDLINE

Abstract

fetched live from OpenAlex

BACKGROUND: Depression has been identified as an adverse mental health outcome in women with breast cancer (BC). Depression was investigated as a risk factor for poor survival in premenopausal women with hormone-responsive early BC treated in the TEXT (Tamoxifen and Exemestane Trial) and SOFT (Suppression of Ovarian Function Trial) trials. METHODS: The data used were from a subset of patients who participated in TEXT or SOFT and completed the Center of Epidemiologic Studies-Depression scale. Associations between baseline depression-score categories and baseline characteristics were assessed using the Cochran-Mantel-Haenszel test controlling for antidepressant use. Multivariable proportional hazards regression models were used to test the association between baseline depression and disease-free survival (DFS) and overall survival (OS). Regression models were adjusted for factors known to be associated with outcomes, baseline antidepressant use, and early treatment cessation. RESULTS: Forty percent (2287 of 5738) of the women enrolled in the SOFT and TEXT trials were included in this analysis (SOFT, n = 1259; TEXT, n = 1028). Twenty-seven percent of women reported mild-to-moderate or severe depression at baseline. Race (p = .001), body mass index (p = .02), family history (p = .02), and performance status (p =.007) were significantly associated with the severity of depression. Relative to the no-symptomatology group, the hazard ratios (overall p = .04) for DFS were 1.34 (95% confidence interval [CI], 1.03-1.76) for women with mild-to-moderate depression and 1.34 (95% CI, 0.96-1.87) for those with severe depression. Relative to the no-symptomatology group, the hazard ratios (overall p = .008) for OS were 1.68 for mild-to-moderate depression (95% CI, 1.15-2.44) and 1.67 for those with severe depression (95% CI, 1.05-2.66). CONCLUSIONS: In premenopausal women with hormone-responsive early BC, depression at baseline is a risk factor for poorer DFS and OFS. Further investigation of the underlying interactive processes is needed. TRIAL REGISTRATION: Clinicaltrials.gov NCT00066703 (SOFT) and NCT00066690 (TEXT).

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.255
Teacher spread0.250 · 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 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
Published2025
Admission routes1
Has abstractyes

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