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Enregistrement W1985126186 · doi:10.1002/pbc.21404

Bone morbidity in children with cancer

2007· article· en· W1985126186 sur OpenAlexaff
Paul Rogers

Notice bibliographique

RevuePediatric Blood & Cancer · 2007
Typearticle
Langueen
DomaineMedicine
ThématiqueBone health and treatments
Établissements canadiensBC Children's HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineBone mineralOsteoporosisOsteopeniaVitamin D and neurologyPediatricsPopulationBone densityCancervitamin D deficiencyInternal medicineOncologyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Bone morbidity in children with cancer, both during and after completion of therapy, is increasingly recognized as both a short term and a long term problem. This is especially so for those children who receive large cumulative doses of glucocorticoids for the treatment of acute lymphoblastic leukemia (ALL) or non-Hodgkin lymphoma (NHL). Sue Kaste identified the problems in definition, characterization and prospective monitoring of the two major skeletal toxicities of osteoporosis and osteonecrosis. The World Health Organization defines osteoporosis currently as a bone mineral density T-score of less than minus 2.5. This definition may not be appropriate for children in whom there is a paucity of standardization and normative data. There is also variability between the techniques for measuring bone mineral density. Similarly, the classification of osteonecrosis needs to be improved relevant to this population group. The relationship between a specific classification, subsequent outcome and when to intervene requires clarification. Inge Van der sluis reviewed the prevalence of bone mineral loss in children with a variety of malignant diseases. The determinants of bone mineral density and the risk factors for osteopenia associated with cancer in childhood were elucidated. The relationship between decreased physical activity, nutritional disorders of calcium and vitamin D deficiency and genetic factors or polymorphisms (e.g., the vitamin D receptor gene) were described. A controversial topic is the role of biphosphonates for the prevention or treatment of bone mineral density deficits in this patient population and concerns about the adverse effects of these drugs. Stephanie Atkinson reviewed the complex physiology and pathophysiology of bone metabolism and the use of biomarkers for the assessment of bone morbidity. The importance of vitamin D status was highlighted. Though vitamin D status may be normal or low, serum concentrations of the active hormone are often subnormal, perhaps reflecting a direct effect of tumor cells on vitamin D receptor number and mRNA. In many children with cancer, biomarkers of bone formation were observed to be suppressed, while markers of bone resorption were elevated. Insulin-like growth factor 1, which stimulates bone formation, may be suppressed indirectly, indicating a growth hormone insufficiency. Leptin may also play a role in bone remodeling as hyperleptinemia has been observed in association with acute lymphoblastic leukemia. Biomarkers may be useful early indicators of disturbances in bone metabolism secondary to the disease process, drug therapy or cranial radiation, but clinical application must await the availability of suitable assays in the hospital setting. An overview of osteonecrosis, especially in ALL and NHL, was given by Ronald Barr (presenting for Alessandra Sala). A third of children may be affected, likely reflecting the cumulative exposure to glucocorticoid therapy. The pathogenesis is complex and includes suppression of bone formation, expansion of the intra-medullary lipocyte compartment, and a direct effect on nutrient arteries. Risk factors were described. The long term management, especially surgical options, is of concern in young growing children. The natural history of this disease is variable and hasty interventions are not always warranted. The pathogenesis of osteonecrosis in children with cancer who were treated with glucocorticoids may not be the same as in the disorder associated with other similar entities such as Perthes disease. These four presentations documented the considerable morbidity associated with osteoporosis and osteonecrosis. The current standard of care is that patients with ALL and NHL should be monitored prospectively for these two forms of bony morbidity. Comprehensive guidelines are required. We need to understand the natural history of these disorders and then evaluate interventions to decrease the attendant morbidities in the context of long term prospective studies.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,014
Tête enseignante GPT0,303
Écart entre enseignants0,289 · 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

Citations1
Publié2007
Routes d'admission1
Résumé présentoui

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