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Enregistrement W2951578425 · doi:10.1093/hropen/hoaa005

The Canadian Assisted Reproductive Technologies Register (CARTR) Plus database: a validation study

2020· article· en· W2951578425 sur OpenAlexafffundabout
Vanessa Bacal, Deshayne B. Fell, Heather Shapiro, Andrea Lanes, Ann E. Sprague, M Johnson, Mark Walker, Laura Gaudet

Notice bibliographique

RevueHuman Reproduction Open · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueOvarian function and disorders
Établissements canadiensUniversity of TorontoQueen's UniversityChildren's Hospital of Eastern OntarioOttawa HospitalUniversity of Ottawa
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésMedicineDatabaseAuditCohen's kappaQuality assuranceComputer scienceStatisticsMathematics

Résumé

récupéré en direct d'OpenAlex

STUDY QUESTION: Are data accurately documented in the Canadian Assisted Reproductive Technologies Register (CARTR) Plus database? SUMMARY ANSWER: Measures of validity were strong for the majority of variables evaluated while those with moderate agreement were FSH levels, oocyte origin and elective single embryo transfer. WHAT IS KNOWN ALREADY: Health databases and registries are excellent sources of data. However, as these databases are typically not established for the primary purpose of performing research, they should be evaluated prior to utilization for research both to inform the study design and to determine the extent to which key study variables, such as patient characteristics or therapies provided, are accurately documented in the database. CARTR Plus is Canada's national register for collecting extensive information on IVF and corresponding pregnancy outcomes, and it has yet to be validated. STUDY DESIGN SIZE DURATION: This study evaluating the data translation CARTR Plus database examined IVF cycles performed in 2015 using data directly from patient charts. Six clinics across Canada were recruited to participate, using a purposive sampling strategy. Fixed random sampling was employed to select 146 patient cycles at each clinic, representing unique patients. Only a single treatment cycle record from a unique patient at each clinic was considered during chart selection. PARTICIPANTS/MATERIALS SETTING METHODS: Twenty-five data elements (patient characteristics, treatments and outcomes) were reabstracted from patient charts, which were declared the reference standard. Data were reabstracted by two independent auditors with relevant clinical knowledge after confirming inter-rater reliability. These data elements from the chart were then compared to those in CARTR Plus. To determine the validity of these variables, we calculated kappa coefficients, sensitivity, specificity, positive predictive value and negative predictive value with 95% CI for categorical variables and calculated median differences and intraclass correlation coefficients (ICC) for continuous variables. MAIN RESULTS AND THE ROLE OF CHANCE: Six clinics agreed to participate in this study representing five Canadian provinces. The mean age of patients was 35.5 years, which was similar between the two data sources, resulting in a near perfect level of agreement (ICC = 0.99; 95% CI: 0.99, 0.99). The agreement for FSH was moderate, ICC = 0.68 (95% CI: 0.64, 0.72). There was nearly perfect agreement for cycle type, kappa = 0.99 (95% CI: 0.98, 1.00). Over 90% of the cycles in the reabstracted charts used autologous oocytes; however, data on oocyte source were missing for 13% of cycles in CARTR Plus, resulting in a moderate degree of agreement, kappa = 0.45 (95% CI, 0.37, 0.52). Embryo transfer and number of embryos transferred had nearly perfect agreement, with kappa coefficients greater than 0.90, whereas that for elective single or double embryo transfer was much lower (kappa = 0.55; 95% CI: 0.49, 0.61). Agreement was nearly perfect for pregnancy type, and number of fetal sacs and fetal hearts on ultrasound, all with kappa coefficients greater than 0.90. LARGE-SCALE DATA: N/A. LIMITATIONS REASONS FOR CAUTION: CARTR Plus contains over 200 variables, of which only 25 were assessed in this study. This foundational validation work should be extended to other CARTR Plus database variables in future studies. WIDER IMPLICATIONS OF THE FINDINGS: This study provides the first assessment of the quality of the data translation process of the CARTR Plus database, and we found very high quality for the majority of the variables that were analyzed. We identified key data points that are either too often lacking or inconsistent with chart data, indicating that changes in the data entry process may be required. STUDY FUNDING/COMPETING INTERESTS: This study was funded by Canadian Institutes of Health Research (CIHR) (Grant Number FDN-148438) and by the Canadian Fertility and Andrology Society Research Seed Grant (Grant Number: N/A). The authors report no conflict of interest. TRIAL REGISTRATION NUMBER: Not applicable.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,068
score de la tête « metaresearch » (Gemma)0,171
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,519
Score d'incertitude au seuil0,967

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0680,171
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,007
Études des sciences et des technologies0,0020,002
Communication savante0,0020,002
Science ouverte0,0030,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,141
Tête enseignante GPT0,352
Écart entre enseignants0,211 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations32
Publié2020
Routes d'admission3
Résumé présentoui

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