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Enregistrement W4416295278 · doi:10.1002/ueg2.70143

What the European Reference Network Registry for Rare Liver Diseases Tells Us About Primary Biliary Cholangitis in European Practice

2025· article· en· W4416295278 sur OpenAlexaboutno aff
Marten A. Lantinga

Notice bibliographique

RevueUnited European Gastroenterology Journal · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueLiver Diseases and Immunity
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésObeticholic acidUrsodeoxycholic acidReferralEpidemiologyPrimary biliary cirrhosisCohortProspective cohort studyLiver diseaseDiseaseCirrhosis

Résumé

récupéré en direct d'OpenAlex

Primary biliary cholangitis (PBC) continues to evolve as a disease, due to advances in non-invasive options to monitor disease progression, new therapeutic strategies, and identification of predictors for biochemical response. [1] As illustrated by a recent nationwide Dutch cohort study, the epidemiology of PBC is evolving reflected by a rising incidence, with the highest point prevalence increase observed amongst those aged 65 years and older. [2] The study by Gerussi et al. in this issue of the United European Gastroenterology Journal provides a prospective snapshot of the care provided for 327 patients across six European Reference Network Registry for Rare Liver Diseases (ERN R-LIVER) referral centers. [3] The prospective multicenter design of this study represents a methodological strength that distinguishes it from previous PBC patient registries. By including patients diagnosed between 2017 and March 2024, the authors can reflect on the current approach and challenges faced in these patients. This offers insights into how practice has followed guidelines, while on the other hand illustrating the gap in treatment options for patients not responding to either ursodeoxycholic acid (UDCA), off-label fibrates, or other strategies including for example obeticholic acid (OCA). A noteworthy finding is that almost 90% of PBC patients in the studied cohort had no signs of cirrhosis on imaging at diagnosis, further underlining the shift from historical studies where advanced disease at presentation was common. The widespread implementation of performing liver stiffness measurement (LSM) in 70.3% of patients at diagnosis is a relevant observation, as a recent international multicenter study analyzing 1.793 PBC patients (followed over a median of 22 months) showed that discordance between LSM and biochemical response is frequent, and that the current LSM value is the strongest predictor of future liver-related events in these patients. [4] Moreover, as shown in a multicenter Portuguese cohort study, among others baseline presence of cirrhosis was associated with a risk of incomplete response to UDCA, therefore warranting close monitoring of these patients when identified with cirrhosis at baseline. [5]. The almost universal initiation of first-line UDCA treatment at diagnosis (92.4%) at the recommended dose (median 13.3 mg/kg per day) shows the current near-perfect adherence to the clinical practice guideline across the included European centers. [6] Despite that inadequate biochemical response was observed in only 14.9% (Toronto criteria) and 22.3% (POISE criteria) of patients, respectively, normalization of alkaline phosphatase (ALP), was seen in 49.5% of patients after 12 months of UDCA. In contrast to this, the authors state that less than half of those with an inadequate response (following the Toronto criteria) were treated with any second-line treatment. Two main reasons could account for this. First, differences in availability and/or reimbursement of OCA across European countries exist, and fibrates remain an off-label option only. Second, as discussed in detail by the authors themselves, a combination of excluding patients participating in a clinical study investigating new treatment options (e.g., elafibranor and seladelpar), unavailability/delayed practice implementation of evidence at the time (e.g., the results of the BEZURSO trial [7]), and lack of specific treatment considerations in the current practice guideline, could have resulted in the relatively low number of patients receiving any form of second-line therapy. On the other hand, despite the prospective nature of the study by Gerussi et al. incomplete follow-up data led to the exclusion of 56% (n = 439/790) of patients of the total PBC cohort, potentially biasing these numbers. This exclusion rate is however remarkably similar to a recent retrospective study performed in The United States, in which only 52% of patients received adequate biochemical monitoring of treatment response. [8] This could highlight the unmet need for optimizing the biochemical monitoring and follow-up of treatment response of PBC patients. The importance of adequate follow-up is further highlighted by a recent Canadian multicenter cohort study which showed that loss of biochemical response at any time worsens outcomes in UDCA-treated patients with PBC. [9]. While the authors primarily focus on biochemical response, the study of Gerussi et al. fails to address the substantial symptom burden patients can experience. For example, fatigue is being increasingly recognized as a major determinant of health-related quality of life in PBC patients, reflected by the position paper by the ERN R-LIVER group which proposes an algorithm for its diagnosis and management. [10] Future registries should therefore integrate patient-reported outcome measures with biochemical monitoring to ensure a meaningful improvement in quality of life. To conclude, while PBC management has advanced with improved early detection and guideline adherence for first-line UDCA treatment, significant gaps persist in monitoring biochemical response and addressing symptom burden. The author has nothing to report. The author has nothing to report. The author declares no conflicts of interest. The author has nothing to report.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,055
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,015
Tête enseignante GPT0,260
Écart entre enseignants0,244 · 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 tête enseignante, pas un consensus.

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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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