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Record W2981532934 · doi:10.1177/2292550319880924

The Impact of Delaying Breast Reconstruction on Patient Expectations and Health-Related Quality of Life: An Analysis Using the BREAST-Q

2019· article· en· W2981532934 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlastic Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsUniversity of OttawaDalhousie UniversityUniversity of Alberta
Fundersnot available
KeywordsBreast reconstructionQuality of life (healthcare)Breast cancerMedicineQuality (philosophy)Health related quality of lifeInternal medicineNursingDiseasePhilosophy

Abstract

fetched live from OpenAlex

Purpose: An understanding of patient expectations predicts better health outcomes following breast reconstruction. No study to date has examined how patient expectations for breast reconstruction and preoperative health-related quality of life vary with time since breast cancer diagnosis. Methods: Women consulting for breast reconstruction to a single surgeon’s practice over a 13-month period were enrolled in this cross-sectional study. Patients were asked to prospectively complete the BREAST-Q expectations and preoperative reconstruction modules. A retrospective chart review was then performed on eligible patients, and patient demographics, cancer-related factors, and comorbidities were collected. BREAST-Q scores were transformed using the equivalent Rasch method. Multivariate linear regression models were constructed to assess the association between BREAST-Q scores and time since cancer diagnosis. Results: Sixty-five patients met inclusion criteria for analysis and are characterized by a mean age of 53 ± 11 (34-79) years and a mean body mass index of 28 ± 6 (19-49). Most patients were treated by mastectomy (58%) or lumpectomy (23%). At the time of retrospective chart review, 29 (43%) patients had undergone reconstruction, most of which were delayed (59%). The mean latency from cancer diagnosis to reconstruction was 685 ± 867 days (range: 28-3322 days). Latency from cancer diagnosis to reconstruction was associated with a greater expectation of pain (β = 0.5; standard error [SE] = 0.005; 95% confidence interval [CI]: 0.003-0.027; P < .05), and a slower expectation for recovery (β = −0.5; SE = 0.004; 95% CI: −0.021 to −0.001; P < .05) after breast reconstruction. Latency from cancer diagnosis to reconstruction was associated with an increase in preoperative psychosocial well-being (β = 0.578; SE 0.009; 95% CI: 0.002-0.046; P < .05). Conclusion: Delaying breast reconstruction may negatively impact patient expectations of postoperative pain and recovery. Educational interventions aimed at understanding and managing patient expectations in the preoperative period may improve health-related quality of life and patient-related outcomes following initial breast cancer surgery.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.104
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.312
Teacher spread0.265 · 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