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Record W1983308453 · doi:10.1158/1538-7445.am2013-169

Abstract 169: Temporal trends, predictors, and outcome of chemotherapy in elderly women with advanced stage endometrial cancer.

2013· article· en· W1983308453 on OpenAlexaff
Gunjal Garg, Zainab Siddiq, Gongfu Zhou, Matthew A. Powell, Thomas J. Herzog, David G. Mutch, Jason D. Wright

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineEndometrial cancerStage (stratigraphy)Internal medicineOncologyCancerChemotherapyRadiation therapyProportional hazards modelBrachytherapyGynecologySerous fluidHysterectomyPopulationSurgery

Abstract

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Abstract Objective. Randomized clinical trials have suggested that adjuvant chemotherapy improves survival for women with advanced stage (III-IV) endometrial cancer. Despite the fact the endometrial cancer is common in the elderly, a minority of women >65 years of age were represented in these trials. We performed a population-based analysis to determine the use and impact on survival of adjuvant chemotherapy in elderly women with advanced stage endometrial cancer. Methods. The Surveillance Epidemiology, and End Results (SEER)-Medicare database was utilized to identify women diagnosed with stage III-IV endometrial cancer diagnosed from 1998-2007. Only those patients who had undergone a hysterectomy were included. The use of chemotherapy within 6 months of diagnosis and its impact on survival was examined using multivariable logistic regression and Cox proportional hazards models. Results. A total of 1819 women including 1193 with stage III and 626 with stage IV tumors were identified. Adjuvant chemotherapy was given to 46% of women. Use of chemotherapy increased with time from 42% in 1998 to 63% in 2007 (P<0.0001). By 2007, 54% of women with endometrioid tumors, 82% with serous tumors and 80% with carcinosarcomas received adjuvant chemotherapy. Use of whole pelvic radiotherapy decreased slightly from 40% in 1998 to 37% in 2007 while use of brachytherapy was stable at 22%. In a multivariable regression model, later year of diagnosis, non-endometrioid histology, residence in the eastern U.S., and stage IV disease were associated with receipt of chemotherapy while older women were less likely to receive chemotherapy (P<0.05). In a multivariable model including clinical and demographic characteristics women who received chemotherapy, mortality was reduced by 17% (HR=0.83; 95% CI, 0.72-0.96) compared to those who did not receive chemotherapy. Conclusion. Although the use of chemotherapy for elderly women with advanced stage endometrial cancer is increasing, fewer than half of patients >65 years of age receive chemotherapy. In addition to year of diagnosis, stage and histology are the strongest predictors of receipt of chemotherapy. Among elderly women with endometrial cancer, chemotherapy is associated with a reduction in mortality. Citation Format: Gunjal Garg, Zainab Siddiq, Gongfu Zhou, Matthew A. Powell, Thomas Herzog, David G. Mutch, Jason D. Wright. Temporal trends, predictors, and outcome of chemotherapy in elderly women with advanced stage endometrial cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 169. doi:10.1158/1538-7445.AM2013-169

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)0.003
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.409
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 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
Published2013
Admission routes1
Has abstractyes

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