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Outcomes of recurrent and metastatic endometrial cancer (RMEC) treated with systemic progestins.

2022· article· en· W4286299192 on OpenAlexaffabout
Anjali Kulkarni, Natalie Andrews Wright, Alyssa N Forget, Ranjeeta Mallick, Tim Ramsay, Johanne I. Weberpals

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineHormonal therapyEndometrial cancerInternal medicineProgestinOncologyChemotherapyCancerProgression-free survivalGynecologyHormoneProstate cancer

Abstract

fetched live from OpenAlex

5585 Background: Recurrent endometrial cancer has a poor prognosis with limited treatment options. Systemic therapy for RMEC includes chemotherapy, immunotherapy and hormonal therapy. Although studies on hormonal therapy have described modest results, agents such as megestrol acetate (megace) continue to be used mainly for low grade, ER+/PR+ve tumors in the advanced and recurrent setting. Overall response rates have been reported in the range of 20-25% with responses up to 25-35% in ER+/PR+ve tumors. Despite comparative response rates to chemotherapy, the use of hormonal therapy in clinical trials in RMEC is hampered by a lack of clear progression-free survival (PFS) data. The primary objective of this study is to determine the PFS in RMEC patients treated with progestins. Methods: A retrospective chart review on RMEC was conducted at The Ottawa Hospital with data sourced from medical records. Main inclusion criteria were a diagnosis of RMEC between 2000 and 2019, endometrioid histology, and ≥1 one line of progestin treatment. PFS was the time from initiation of progestin therapy until progression of disease (PD) by imaging, biopsy or death. Overall survival (OS) was the time from initiation of progestins until death. Median time to PFS and OS were estimated using the Kaplan-Meier method and compared using a Log-rank Test with 95% confidence interval (CI). Results: Of 2342 cases reviewed, 75 met inclusion criteria. The mean age at the time of primary diagnosis was 66.7 years and the range of follow-up was 1-199 months (mo). Sixty-six (88.0%) patients received megestrol acetate and 9 (12.0%) received a progestin alternative. The distribution of all patients by grade was: 1: 25 (33.3%), 2: 30 (40.0%) and 3: 20 (26.7%). The median PFS for all patients with grade 1 and 2 RMEC was 15.7 mo (95% CI: 8.0, 19.5), compared to 5.0 mo (3.0, 23.0) for grade 3 disease (p=0.28). The median OS for all patients with grade 1 and 2 versus grade 3 RMEC, was 25.9 mo (15.3, 40.3) versus 12.5 mo (5.7, 35.9), respectively (p=0.12). The number of patients treated with 0 and ≥1 line of chemotherapy was 34 (45.3%) and 41 (54.7%). The median PFS for patients who were naïve to chemotherapy was 17.9 mo (14.3, 27.0), compared to 6.2 mo (3.9, 14.8) for patients who had received ≥1 prior lines of treatment (p=0.09). The median OS was 29.1 mo (17.9, 61.1) for patients who were naïve to chemotherapy, versus 23.0 mo (10.5, 37.6) for patients who were previously exposed (p=0.64). Conclusions: This real-world data suggests that progestins for RMEC have comparable outcomes to other systemic therapies in chemotherapy-exposed patients. Progestins such as megestrol acetate may be considered in the design of RMEC clinical trials.

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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.174
GPT teacher head0.479
Teacher spread0.304 · 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".

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Citations1
Published2022
Admission routes2
Has abstractyes

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