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Record W4415053743 · doi:10.1016/j.fjurol.2025.103002

French translation and pilot testing of the CEGSSS: A replicable framework

2025· article· en· W4415053743 on OpenAlexaffabout
Othmane Zekraoui, Aamer Alghamlas, Julien Letendre, Abbas Guennoun, Liam Murad, Anis Assad, Nicolas Siron, Malek Meskawi, François Bénard, Naeem Bhojani

Bibliographic record

VenueThe French Journal of Urology · 2025
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsMcGill UniversityHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsTranslation (biology)Test (biology)Key (lock)Measure (data warehouse)Component (thermodynamics)

Abstract

fetched live from OpenAlex

Introduction: The Canadian Endourology Group Stent Symptom Score (CEGSSS) is a concise questionnaire developed to assess patients’ ureteral stent-related symptoms. To support its worldwide applicability, we present the initial phases of its adaptation to French, offering a replicable framework for future translations. Methods: The original CEGSSS underwent forward-backward translation and was reviewed by a multidisciplinary committee. The pre-final French version (FR-CEGSSS) was pilot-tested in iterative cycles, with French-speaking urologists and patients completing questionnaires to assess the clarity and relevance of its items. Results: The FR-CEGSSS was completed by 15 patients and 6 urologists. Its questions, language and vocabulary were rated as easy or very easy to understand by 93% of patients and 100% of urologists. On relevance, the questionnaire reached a scale-level content validity index of 0.97. Conclusion: We present a transparent, replicable framework for CEGSSS translation. Comprehensive psychometric testing is required for the FR-CEGSSS to be considered valid for clinical and research use. Introduction: Le Canadian Endourology Group Stent Symptom Score (CEGSSS) est un questionnaire concis développé afin d'évaluer les symptômes liés à la pose de sondes urétérales chez les patients. Afin de soutenir son applicabilité à l'échelle mondiale, nous présentons les phases initiales de son adaptation en français, offrant ainsi une méthodologie reproductible pour les futures traductions. Méthodes: La version originale du CEGSSS a fait l'objet d'une traduction avant et à rebours, puis a été révisée par un comité multidisciplinaire. La version pré-finale du CEGSSS français (FR-CEGSSS) a été soumise à un test pilote, par cycles itératifs, où urologues et patients francophones ont complétés des questionnaires afin de statuer sur la clarté et la pertinence des items le composant. Résultats: Le FR-CEGSSS a été complété par 15 patients et 6 urologues. Les questions, la langue et le vocabulaire ont été jugés faciles ou très faciles à comprendre par 93 % des patients et 100 % des urologues. Sur le plan de la pertinence, le questionnaire a atteint un indice de validité de contenu au niveau de l'échelle de 0,97. Conclusion: Nous présentons une méthodologie transparente et reproductible pour la traduction du CEGSSS. Des tests psychométriques complets sont maintenant nécessaires pour que le FR-CEGSSS soit considéré valide pour une utilisation en clinique ou pour la recherche.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.075
Threshold uncertainty score0.172

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.036
GPT teacher head0.294
Teacher spread0.258 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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