Improving treatment outcomes through personalised medicine - assessment of disease activity in acromegaly.
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
Purpose \nPersonalised Medicine (PM), also known as stratified medicine has been known to improve treatment outcomes in a wide variety of disease area settings. Individualising treatment based on patient needs may also offer cost benefits to healthcare spend. Despite availability of multimodal treatment options for acromegaly, achievement of long-term disease control is suboptimal in a significant number of patients. Furthermore, disease control as defined by biochemical normalization may not always show concordance with disease related symptoms or patient’s perceived quality of life. \nMethods \nAn assessment to gauge the need to have an easy and helpful tool which may support acromegaly management was elucidated through a multinational qualitative survey. Subsequently, a validated a tool was developed to measure disease activity in acromegaly to support decision-making in clinical practice through a 2 step-approach. Firstly, an international expert panel (n = 10) convened to define the most critical indicators of disease activity. Patient scenarios were constructed based on these chosen parameters. Secondly, a panel of 21 renowned endocrinologists at pituitary centres (Europe and Canada) categorized each scenario as stable, mild, or significant disease activity in an online validation study. \nResults \nThe international qualitative survey revealed that current treatment practice does have shortcomings in fully achieving disease control as well as identifying the need for a helpful solution to guide acromegaly care. As part of elucidating the most important disease activity indicators, from expert opinion, five parameters emerged as the best overall indicators to evaluate disease activity: insulin-like growth factor I (IGF-I) level, tumour status, presence of comorbidities (cardiovascular disease, diabetes, sleep apnea), symptoms, and health-related quality of life. In the validation study, IGF-I and tumour status became the predominant parameters selected for classification of patients with moderate or severe disease activity. If IGF-I level was ≤1.2x upper limit of normal and tumour size not significantly increased, the remaining three parameters contributed to the decision in a compensatory manner. \nConclusion \nThe validation study underlined the importance of IGF-I and tumour status for routine clinical decision-making, whereas patient-oriented outcome measures received less medical attention. A disease specific tool named Acromegaly Disease Activity Tool (ACRODAT) is in its final stages of development that will support clinicians in reviewing the disease activity in a holistic manner.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 découle