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Enregistrement W23320603

My journey through the lives of patients with coeliac disease.

2015· article· en· W23320603 sur OpenAlexaboutno aff
Pankaj Vohra

Notice bibliographique

RevuePubMed · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueCeliac Disease Research and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCoeliac diseaseMedicineFailure to thriveDiseasePediatricsIrritable bowel syndromeInternal medicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

I never read about coeliac disease during my MBBS or MD days. It probably did not exist or even if it did, we never made a diagnosis often enough for it to be considered an important condition. However, it became clear in the 1990s that coeliac disease was not restricted to Europe—the so-called world capital of coeliac disease— but was prevalent in the USA, Canada and many other countries, at rates similar to those found in Europe. Then came the realization that children and adults living in the wheat-eating belt of northern India were suffering from the same condition and the prevalence rates here were almost the same. It was in 1999–2000 when I started my practice in paediatric gastroenterology in Delhi, having completed my Fellowship from Mount Sinai Medical Center, New York. There, too, the diagnosis of coeliac disease was relatively rare at that time—most children with anaemia and diarrhoea had inflammatory bowel disease. As a result of an increase in awareness, coeliac disease is being diagnosed more often, though it is sometimes confused with Crohn disease. Most of the patients I initially saw in Delhi had a history of recurrent non-bloody diarrhoea. These children had stunted growth, distended abdomens, were irritable and often had haemoglobin levels of 3–5 g/dl. Almost all these patients had received several courses of antibiotics and at least one course of antitubercular treatment, and had a label of ‘Failure to thrive’. Convincing the parents to let the child undergo an endoscopy and a biopsy was a challenging task (and still is, though definitely less). Getting good serological reports was also not easy. At that time, the serological test available for coeliac disease was anti-gliadin antibody. This test was known to yield high false-positive and false-negative results. Some laboratories had started doing the anti-endomysial antibody—a test that used the immunofluorescence technique and was inherently difficult to read. One reference laboratory set up by a Malaysian group was sending samples to Australia for assessment of tissue transglutaminase antibody—probably the best bet, but the most expensive. However, the diagnosis was relatively easy once considered, as the biopsy changes were those of severe disease. And if there was any doubt about the diagnosis, it vanished when the child was put on a gluten-free diet and his/ her condition improved virtually every week. The challenge at the time was to explain the disease to the parents and grandparents and convince them of the need to put the child on a gluten-free diet. There was limited knowledge of this condition and there were hardly any suppliers of gluten-free food. No commercial outlets were available. We recommended going back to the basics of Indian diets, which have a large variety of naturally available gluten-free food. The good thing was that those days, not many readymade products were available and people did not have much disposable income either—this meant that children mostly ate home-cooked food and rarely had pizzas and burgers. The children may have been too young to realize how sick they were, but their parents did, and they went from doctor to doctor till a diagnosis was made. A good number of these children with coeliac disease continue to stay on a gluten-free diet because they have been told how sick they were before the diagnosis. Several of these patients continue to follow-up with me and it is a pleasure to see many of them grow into young healthy adults. Among the very sick children I described above, there were some with other forms of coeliac disease. For example, there was a child with only anaemia, a child who had severe constipation and was thought to have Hirschprung disease, a child with chronic liver disease progressing to liver failure, a child with type 1 diabetes who refused to grow despite good control of his blood sugar level, and a child of short stature. Over the next 5 years or so, the number of children being diagnosed with coeliac disease increased exponentially. An increasing number of paediatric gastroenterologists gave talks on the subject and more doctors became aware of the disease. Daylong conferences were organized on coeliac disease and no conference on the diseases of children was complete without a session on this condition. Articles appeared in the lay press. As a result, there was a gradual change in the patient population that came to visit me. Children with fewer symptoms started to come for a diagnosis. Endoscopy was more widely available and became more acceptable. Serology became better, cheaper and more accurate, and was now locally available. Most importantly, a number of gluten-free food outlets sprang up, mostly from homes which had children diagnosed with the condition. Rarely did I see patients with haemoglobin levels of 3 g/dl. Also, I came across many children with coeliac disease without a gastrointestinal

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)0,009
score de la tête « metaresearch » (Gemma)0,021
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,047

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,021
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0150,010
Communication savante0,0130,016
Science ouverte0,0020,017
Intégrité de la recherche0,0060,030
Charge utile insuffisante (le modèle a refusé de juger)0,0100,003

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 Opus0,044
Tête enseignante GPT0,274
Écart entre enseignants0,230 · 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'étudeQualitatif
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
Publié2015
Routes d'admission1
Résumé présentoui

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