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Record W4210433885 · doi:10.1016/s2666-7568(22)00002-2

Validation of the geriatric vulnerability score in older patients with ovarian cancer: an analysis from the GCIG-ENGOT-GINECO EWOC-1 study

2022· article· en· W4210433885 on OpenAlexaff
Claire Falandry, Fanny Pommeret, Laurence Gladieff, Fabien Tinquaut, Domenica Lorusso, Marie‐Ange Mouret‐Reynier, Véronique D’Hondt, Delphine Mollon-Grange, Anne Floquet, Sophie Abadie‐Lacourtoisie, Pierre-Emmanuel Brachet, Laëtitia Stefani, Frédérique Rousseau, Jean‐Sébastien Frenel, Francesco Del Piano, Marja Komulainen, Thomas Warkus, Olivier Trédan, Éric Pujade-Lauraine, Gilles Freyer

Bibliographic record

VenueThe Lancet Healthy Longevity · 2022
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersHospices Civils de LyonInstitut National Du Cancer
KeywordsMedicineCohortPopulationInternal medicineHazard ratioCancer registryOvarian cancerCarboplatinCohort studyCancerConfidence intervalChemotherapy

Abstract

fetched live from OpenAlex

BACKGROUND: Older patients with ovarian cancer represent a heterogeneous population. The French National Group of Investigators for the Study of Ovarian and Breast Cancer developed the geriatric vulnerability score (GVS) to identify geriatric parameters predictive of poor outcomes. A prospective validation of the GVS was needed. METHODS: The EWOC-1 study (NCT02001272) was an international, open-label, phase 2, three-arm trial designed according to a two-step process. Patients aged 70 years or older with newly diagnosed stage III or IV ovarian cancer were identified and the GVS determined. Those with a GVS of 3 or greater were randomly assigned to the EWOC-1 trial, stratified by country and surgical outcome, to receive three different carboplatin with or without paclitaxel regimens; those not included in the EWOC-1 trial were followed up in the EWOC-1 registry. External validation of the GVS was a secondary endpoint of the trial. Three validation cohorts were identified: the total population (validation cohort 1 [V1], n=447), the registry-only population (validation cohort 2 [V2], n=327), and the carboplatin-paclitaxel-treated population (validation cohort 3 [V3], n=320). FINDINGS: From Dec 11, 2013, to Nov 16, 2018, 447 patients were included in 48 academic centres in six countries; 120 in the EWOC-1 trial and 327 in the EWOC-1 registry. Median follow-up was 19·7 (95% CI 8·5-29·7) months for the total cohort; missing values were low (<2%). According to the maximum likelihood analysis, the hazard ratio (HR) of death in V1 was 1·8 (95% CI 1·1-3·1, p=0·029) for those with a GVS of 1; 2·4 (1·4-4·0, p=0·0009) with a GVS of 2; 4·1 (2·5-7·0, p<0·0001) for a GVS of 3; 5·5 (3·3-9·3, p<0·0001) for a GVS of 4; and 9·1 (4·7-17·5, p<0·0001) for a GVS of 5 compared with a score of 0. Whatever the validation cohort, GVS of 3 or more significantly segregated two groups with different overall survival: V1 (median 13·2 [95% CI: 10·8-18·7] vs 40·8 [32·0-45·6] months; HR 2·8 [95% CI 2·2-3·7]; p<0·0001); V2 (11·9 [95% CI 8·8-18·1] vs 40·8 [32·0-45·6] months, HR 3·5 [2·5-4·9]; p<0·0001); and V3 (18·1 [95% CI 15·8-31·8] vs 43·0 [40·6-49·7] months, HR 2·6 [1·9 to 3·7]; p<0·0001). INTERPRETATION: The GVS has high prognostic performance for overall survival in patients with advanced ovarian cancer, independently of geographic and historic effect (V1), as well as treatment patterns (V3), validated in an international population. Even though the GVS is time consuming it will allow the stratification of populations for clinical research and might permit the orientation of the geriatric intervention to specific domains. FUNDING: French National Cancer Institute. TRANSLATION: For the French translation of the abstract see Supplementary Materials section.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.316
Teacher spread0.282 · 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.

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

Citations14
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Lancet Healthy LongevitySame topicFrailty in Older AdultsFrench-language works237,207