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Record W3081603476 · doi:10.1158/1538-7755.disp19-a053

Abstract A053: Association between socioeconomic status and access to specialized cancer consultation and treatment among advanced gastrointestinal cancers

2020· article· en· W3081603476 on OpenAlexaffabout
Laura Davis, Natalie G. Coburn, Julie Hallet, Craig C. Earle, Sten Myrehaug, Ying Li, Alyson Mahar

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2020
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsOccupational Cancer Research CentreUniversity of ManitobaSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineCancerInternal medicineSocioeconomic statusCohortGastrointestinal cancerPopulationRadiation therapyRetrospective cohort studyCancer registryOncologyProportional hazards modelColorectal cancerEnvironmental health

Abstract

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Abstract Introduction: Gastrointestinal (GI) cancers of the pancreas, esophagus, stomach, colon and rectum often present at an incurable stage. Treatments such as chemotherapy and radiotherapy can improve quality and quantity of life for patients with these advanced gastrointestinal (GI) cancers. However, many patients fail to receive such treatments or even consult with a cancer specialist to determine if treatment is an option. Socioeconomic status (SES) is associated with cancer outcomes, but the mechanisms as to why, such as access to specialized care, are not clearly established. This study examined the association between SES and receipt of specialized cancer consult and treatment in Ontario, Canada. Methods: This was a population-based retrospective cohort study of advanced GI cancer patients diagnosed between 2007 and 2017 using linked administrative databases. The exposure of SES was defined using the deprivation item in the Ontario Marginalization Index. The outcome of oncology consult was defined as a consultation with either a radiation oncologist or a medical oncologist and the outcome of treatment was defined as receipt of chemotherapy or radiotherapy. Both were measured in the year following diagnosis. Multivariable Cox-proportional hazards regression models were used to determine association of deprivation with oncology consult and treatment. Confounders identified a priori include age, sex, comorbidities and cancer site. Results: 29,297 patients had a diagnosis of advanced GI cancer and were included in the study. 27.4% of the cohort did not have an oncology consult and 53.7% did not receive treatment in the year following diagnosis. The most deprived quintile compared to the least deprived quintile was associated with decreased consult (HR 0.89 (0.85-0.93)) and decreased treatment (HR 0.81 (0.77-0.86)) after adjusting for confounders. Conclusion: This study found that even in a single-payer universal healthcare system, SES is associated with access to specialized cancer care. Future research should examine mechanisms through which policy might help low SES patients access specialized cancer care. Citation Format: Laura E Davis, Natalie G Coburn, Julie Hallet, Craig C Earle, Sten Myrehaug, Ying Li, Alyson L Mahar. Association between socioeconomic status and access to specialized cancer consultation and treatment among advanced gastrointestinal cancers [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr A053.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.910
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.139
GPT teacher head0.427
Teacher spread0.288 · 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
Published2020
Admission routes2
Has abstractyes

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