Letter to the Editor GHFBB; Response to Peña AS: What is the best histopathological classification for celiac disease? Does it matter?
Notice bibliographique
Résumé
To The Editor: The editorial by Pena AS: (1) and the responses elicited by it are of major importance. Everyone concur that patient’s wellbeing; proper diagnosis and treatment are the main objective. Let’s not forget that these concepts and guidelines are used by those rendering the direct health service to the public, by policy makers and regulators, which often need to relay on the opinion of experts on the field. Hence, communication and transfer of information needs to be clear, and applicable to patient care and public health. Evaluation of new therapeutic products to manage celiac disease (CD), requires agreement on guidelines for diagnosis (Dx) and follow up, including: diagnostic methods, reproducibility, validation and sensitivity. Standardization of best practice guideline may improve detection of CD in regions with limited human resources and equipment. Recruiting of CD patients for clinical trials is usually challenging, particularly because the need of biopsy as part of the Dx. The lack of animal models to assess new therapeutic compounds enhances the need to use clinical trials at earlier stages of drug development, adding a challenge and need for standardization of Dx guidelines. With these in mind: I agree that in cases of suspected CD and conditions linked to adverse reactions to gluten, small bowel biopsy procedures, including: sampling, processing, evaluation tools, classification and interpretation are key for differential diagnosis and management. The need of standardizing histopathology classification that can be used worldwide is essential. Pena AS (1), provide a very useful tabulated comparison among different classifications, facilitating the interpretation of publications using various classifications, allowing for compilation and analysis of data for public health. The idea of re-assessing the emphasis on the biopsy as a gold standard in the diagnosis of CD, in light of available less invasive tests, is a welcoming one, at least reducing the number of biopsies required for follow up. Villanacci (2) emphasizes on reproducibility and the use of simpler classification to facilitate reproducibility, but his suggested classification seems over simplified. Clinicians shall decide if that will be sufficient for proper Dx and management. Villanacci (2, 3) points out the advantage of including the term of “Microscopic Enteritis” (4) as a separate histopathology Dx, a practical suggestion for differential diagnosis. Marsh, Villanacci and, Srivastava (5) illustrate the differences between the histopathology of CD Marsh classification (4), and non-celiac gluten sensitivity. Despite its limited explanation, this publication is very useful to pathologists. Could this classification be modified not to use morphometric analysis? Do the Villanaci (2, 3) simplified classification provide the information required for best practice? These questions need consensual response for best practice guidelines worldwide. Nonetheless and until proven otherwise evaluation of new therapeutic products are best to use the Marsh classification (5). It calls my attention that in this discussion there is no mention of differences in diagnostic approach between pediatric and adult cases, since the need for the use of biopsy in pediatric has been questioned. Do you have any thoughts on that? The concern expressed by Walker (6) is a valid one, but if anything is complementary to Pena AS (1) editorial. International guidelines cited are the key to standardization on diagnosis and management of CD, and gluten free-diet (GFD) as the therapy of choice, which carries an emotional, and financial impact. The ACG Clinical Guidelines: Diagnosis and Management of CD published by Rubio-Tapia et al. (6) indicates that a diagnosis of CD requires the demonstration of histological changes associated with the disease, classified according to: Marsh, Marsh modified (Oberhuber), or by the more recent, simplified Corazza classification. It accepts the incorporation of simplified classifications for the general practice.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,021 | 0,028 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,010 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».