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Predictors for optimal cytoreduction following neoadjuvant chemotherapy in advanced epithelial ovarian carcinoma

2009· article· en· W564668927 on OpenAlexaff
Diederick De Jong, Jason Dodge, OC Freedman, Emily Lo, Barry P. Rosen, Helen Mackay

Bibliographic record

VenueJournal of Clinical Oncology · 2009
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineOvarian cancerDebulkingInternal medicineChemotherapyOncologyStage (stratigraphy)Epithelial ovarian carcinomaEpithelial ovarian cancerOvarian carcinomaMultivariate analysisCancerSurgeryGastroenterology

Abstract

fetched live from OpenAlex

5512 Background: Neoadjuvant chemotherapy (NAC) is increasingly used to treat patients (pts) with presumed advanced-stage epithelial ovarian cancer (EOC) who are deemed ineligible for upfront debulking surgery (DS). DS following NAC offers a survival benefit to those pts in whom optimal cytoreduction (< 1 cm residual tumor) is achieved. However, not all women who commence NAC have a subsequent attempt at DS. The aims of this study were to identify, in pts planned for NAC, predictive parameters for attempting DS and for achieving optimal cytoreduction in those undergoing surgery. Methods: Pts with presumed stage IIIC or IV EOC who started NAC between 1998 and 2004 were selected for chart review from our institutional ovarian cancer database. Pts with synchronous primary tumors or final pathology inconsistent with EOC were excluded. Age, presence of ascites, Pre NAC hemoglobin (Hb), platelet count (Pls), and CA-125 were explored as possible predictors of attempting DS and of optimal cytoreduction using Kruskal-Wallis analysis and multivariate regression analysis with backward elimination. Results: 212 pts met inclusion criteria. 164 pts (77.4%) had an attempt at DS after NAC; of these 109 pts (66.4%) were optimally cytoreduced. Age and pre-NAC Pls were independent predictors for attempting DS. Median age of pts undergoing DS was 65 years (range 42–82 yrs) compared to 77 yrs (range 54–89 yrs) in those in whom there was no DS attempt, p < 0.01. Median pre NAC Pls of pts undergoing DS was 398 (range 220–685) *109/L, compared to 298 (178–519) for those not proceeding to DS, p < 0.001. Pre NAC Hb, CA125, and ascites were not predictors of DS. Among pts undergoing DS, age was the only independent predictor of optimal cytoreduction identified: median age of pts (optimal vs. suboptimal cytoreduction) was 57yrs (range 42–73 yrs) vs. 67 yrs (49–82yrs), p < 0.001. Presence of ascites, pre-NAC Hb, pre-NAC Pls, and pre-NAC CA-125 were not predictors of optimal cytoreduction. Conclusions: At our centre, pt age and pre-NAC Pls are independent predictors for attempting DS following NAC for advanced stage EOC. In pts undergoing DS age was the only independent predictor of optimal cytoreduction identified. Further investigation of these findings is warranted. No significant financial relationships to disclose.

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)0.003
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.438
Teacher spread0.376 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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