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Follow-up of long-term young breast cancer survivors.

2012· article· en· W2589747494 on OpenAlexaffabout
Corinne Daly, Elisabeth M. Del Giudice, Rinku Sutradhar, Lawrence Paszat, D. H. C. Wilton, Linda Rabeneck, Nancy N. Baxter

Bibliographic record

VenueJournal of Clinical Oncology · 2012
Typearticle
Languageen
FieldMedicine
TopicMultiple and Secondary Primary Cancers
Canadian institutionsHealth Sciences CentreCancer Care OntarioInstitute for Clinical Evaluative SciencesSunnybrook Health Science CentreSt. Michael's Hospital
Fundersnot available
KeywordsMedicineBreast cancerCancerCancer registrySurvivorship curvePopulationInternal medicineRetrospective cohort studyCohortPediatrics

Abstract

fetched live from OpenAlex

8 Background: Evidence suggests breast cancer patients can be offered follow-up by family physician without concern of important recurrence–related serious clinical events occurring more frequently or quality of life being negatively affected. This study describes population-based patterns of follow-up care in 5-year recurrence-free young breast cancer survivors to determine factors influencing continued oncology follow-up in Ontario, Canada. Methods: We conducted a retrospective population-based cohort study using cancer registry and administrative data. Women diagnosed with an incident breast cancer aged 20-44 between 1992 and 1999, survived for at least 5 years and recurrence-free for 5 years past diagnosis were identified in the Ontario Cancer Registry. Each survivor was matched to 5 control women with the same calendar year of birth and place of residence in Ontario. We determined outpatient physician visits with primary care, medical, radiation and surgical oncology physicians to investigate trends associated with increasing survivorship and compared visit rates to controls. We used negative binomial regression to investigate factors predicting high utilization of oncology services among survivors after 5-year recurrence survival. Results: We identified 4,581 survivors and 22,898 controls. By year 10, 51% breast cancer survivors were still being followed by an oncologist. In the survivors, fewer physician visits were observed among recurrence-free breast cancer survivors as time increased from diagnosis (Visit Rate Ratio [VRR] =0.95, 95% CI: 0.94, 0.96). Breast cancer survivors diagnosed from 1992-1995 had a higher rate of physician visits than those diagnosed from 1996-1999 (VRR = 1.16, 95% CI: 1.07, 1.25). More oncologist visits were associated with patients visiting a female oncologist (VRR = 1.20, 95% CI: 1.09, 1.33) and fewer visits were associated with patients visiting an oncologist who practiced outside of a regional cancer center (VRR = 0.67, 95% CI: 0.58, 0.77). Conclusions: Oncology visits of young breast cancer survivors after 5-year survival were associated with oncologist factors indicating that prolonged oncology follow-up in breast cancer survivors may be driven by practice patterns rather than patients’ needs.

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 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)0.003
metaresearch head score (Gemma)0.001
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 score0.178
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.123
GPT teacher head0.465
Teacher spread0.342 · 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 teacher head, not a consensus.

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

Citations1
Published2012
Admission routes2
Has abstractyes

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