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Enregistrement W3197314078 · doi:10.1093/ndt/gfab252

A snapshot of European registries on chronic kidney disease patients not on kidney replacement therapy

2021· editorial· en· W3197314078 sur OpenAlexfundno aff
Kitty J. Jager, Anders Åsberg, Frédéric Collart, Cécile Couchoud, Marie Evans, Patrik Finne, Ileana Peride, Ivan Rychlík, Ziad A. Massy

Notice bibliographique

RevueNephrology Dialysis Transplantation · 2021
Typeeditorial
Langueen
DomaineMedicine
ThématiqueChronic Kidney Disease and Diabetes
Établissements canadiensnon disponible
Organismes subventionnairesEmissions Reduction Alberta
Mots-clésMedicineRenal replacement therapyKidney diseaseSnapshot (computer storage)NephrologyInternal medicineIntensive care medicine

Résumé

récupéré en direct d'OpenAlex

Traditionally, renal registries collect and report population-based epidemiological data on patients with kidney failure who are treated by kidney replacement therapy (KRT), i.e. dialysis or transplantation. Over the past decade, a number of these registries have started to widen the inclusion of patients to those with kidney failure treated with comprehensive conservative management and in some cases to earlier stages of chronic kidney disease (CKD), leading to, for example, CKD Stages 4–5 registries. As a result, they are increasing their value by not only providing numbers on those receiving or refraining from extremely expensive therapies, but also to stages of CKD in which kidney failure may still be prevented. The European Renal Association (ERA) Registry currently collects data on patients treated by KRT and uses them for comparison and collaborative research. In this article we report the current status of CKD registries in Europe in relation to their data collection on patients not on KRT so that in the future we may investigate to what extent their data may be used for similar purposes, such as collaborative research on CKD trajectories and patient outcomes. Information was collected from six existing CKD registries and one in preparation. Most had been started by the boards of the national KRT registry with which they formed one registry, but in Romania the CKD registry was separate from that on KRT (Table 1). The Czech registry was fully funded by non-governmental sources, whereas five others—those in French-speaking Belgium, France, Norway, Romania and Sweden—managed to secure at least partial funding from their ministries of health or other healthcare system authorities, mostly for the set-up or maintenance of their web-based data collection platforms. In the majority of cases, data collection was voluntary. CKD registry characteristics, as of March 2021 French KRT Registry (REIN; data collection system); and hospitals (labour force for data entry) Romanian Association of Nephrology, Dialysis and Vascular Access and Ministry of Health (set-up and maintenance of data collection system) and hospitals (labour force for data entry) French KRT Registry (REIN; data collection system); and hospitals (labour force for data entry) Romanian Association of Nephrology, Dialysis and Vascular Access and Ministry of Health (set-up and maintenance of data collection system) and hospitals (labour force for data entry) QI benchmarks: blood pressure (percentage <140/90 mm/Hg), phosphate (percentage <1.6 mmol/L), haemoglobin 10–12 g/dL if on erythropoiesis-stimulating agent, percentage diagnosed with PRD, percentage on angiotensin-converting enzyme inhibitor/angiotensin II recpetor blocker if diabetic kidney disease. eGFR determined by the Chronic Kidney Diease Epidemiology Collaboration equation available for further distribution of CKD stages. CKD registry characteristics, as of March 2021 French KRT Registry (REIN; data collection system); and hospitals (labour force for data entry) Romanian Association of Nephrology, Dialysis and Vascular Access and Ministry of Health (set-up and maintenance of data collection system) and hospitals (labour force for data entry) French KRT Registry (REIN; data collection system); and hospitals (labour force for data entry) Romanian Association of Nephrology, Dialysis and Vascular Access and Ministry of Health (set-up and maintenance of data collection system) and hospitals (labour force for data entry) QI benchmarks: blood pressure (percentage <140/90 mm/Hg), phosphate (percentage <1.6 mmol/L), haemoglobin 10–12 g/dL if on erythropoiesis-stimulating agent, percentage diagnosed with PRD, percentage on angiotensin-converting enzyme inhibitor/angiotensin II recpetor blocker if diabetic kidney disease. eGFR determined by the Chronic Kidney Diease Epidemiology Collaboration equation available for further distribution of CKD stages. While most registries aimed to conduct epidemiological and clinical research now or in the future, health economics research was also among their objectives. Four registries—those from French-speaking Belgium, Czech Republic, Norway and Sweden—specifically aimed for quality improvement making use of benchmarking. Patient inclusion was mostly restricted to CKD Stages 4 and 5 patients from nephrology departments. In Norway, however, the inclusion was limited to CKD Stage 5 patients, whereas in French-speaking Belgium and Romania the registry was set up to include all stages of CKD. With an estimated 75%, the coverage of the CKD patients treated by nephrologists was highest in Sweden, followed by Norway, which also included more than half of the patients. Undoubtedly the difficulty in reaching full coverage is caused by the relatively high number of patients suffering from this condition and by the fact that a substantial number of them may be followed by non-nephrologists or in whom the condition may go unrecognized. This may result in a risk of selection bias, e.g. in epidemiological research. All registries collected demographic data, primary renal disease (PRD), comorbidities and height and weight at baseline, but in France and Norway this was extended to information on care plans (Table 2). Most collected medications, often accompanied by their Anatomical Therapeutic Chemical codes. Additionally, all registries gathered baseline and follow-up data on estimated glomerular filtration rate (eGFR). In contrast, only three registries collected data on urinary albumin:creatinine ratio. All countries with functioning registries collected at least some laboratory test results (Table 3), frequently by linkage to national or regional laboratory databases. Data collection besides laboratory test results Collection of medications data through Anatomical Therapeutic Chemical or similar codes. For bundle payment.+, positive; −, negative; TBD, to be determizned. Data collection besides laboratory test results Collection of medications data through Anatomical Therapeutic Chemical or similar codes. For bundle payment.+, positive; −, negative; TBD, to be determizned. Data collection with respect to laboratory test results Mandatory. For bundle payment.+, positive; −, negative; ACR, albumin:creatinine ratio; CRP, C-reactive protein; HbA1c, haemoglobin A1c; PTH, parathyroid hormone; TBD, to be determined; TSAT, transferrin saturation. Data collection with respect to laboratory test results Mandatory. For bundle payment.+, positive; −, negative; ACR, albumin:creatinine ratio; CRP, C-reactive protein; HbA1c, haemoglobin A1c; PTH, parathyroid hormone; TBD, to be determined; TSAT, transferrin saturation. The outcomes studied included CKD progression, dialysis and transplantation (including pre-emptive transplantation), date and cause of death, sometimes supplemented with data on (pre-emptive) transplant waitlisting, hospitalization and complications. The Swedish registry also collected patient-reported outcomes in the form of RAND-36 data. Given the importance of obtaining knowledge on patients with advanced CKD, it is not unexpected but still disappointing that the results of this inventory show that in Europe only six countries or large regions have engaged in routine data collection on patients with CKD Stages 4–5 who are under the care of nephrologists and Finland is making preparations to do so. Most are collecting data on a growing number of patients while facing challenging issues in registry management, such as the efforts needed for data collection. As a next step, we will explore whether the data quality and potential differences in methods and definitions used by the countries will allow collaboration in a European CKD registry under the umbrella of the ERA Registry with the purpose of joint scientific analyses to advance our knowledge of treatments and outcomes in advanced CKD. The ERA Registry is funded by the ERA. This article was written by K.J.J., A.Å., F.C., C.C., M.E., P.F., I.P., I.R. and Z.A.M. on behalf of the ERA Registry, which is an official body of the ERA. The results presented in this article have not been published previously in whole or part. K.J.J. reports grants from the ERA. F.C. reports lecture fees from Baxter, Fresenius Medical Care and Vifor.

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)0,025
score de la tête « metaresearch » (Gemma)0,057
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,134

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0250,057
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0060,008
Études des sciences et des technologies0,0010,001
Communication savante0,0050,006
Science ouverte0,0020,002
Intégrité de la recherche0,0050,006
Charge utile insuffisante (le modèle a refusé de juger)0,0040,002

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 Opus0,011
Tête enseignante GPT0,258
Écart entre enseignants0,247 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations13
Publié2021
Routes d'admission1
Résumé présentoui

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