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Enregistrement W1639426353 · doi:10.1111/j.1532-5415.2004.52125_3.x

Response Letter to Dr. Cummings

2004· article· en· W1639426353 sur OpenAlexaff
Sudeep S. Gill, Paula A. Rochon, Mark Guttman, Andreas Laupacis

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2004
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealth Systems, Economic Evaluations, Quality of Life
Établissements canadiensInstitute for Clinical Evaluative SciencesBaycrest HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineDementiaClinical PracticeMedical physicsDiagnostic accuracyMEDLINEDiseasePsychiatryFamily medicinePathologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

To the Editor: We thank Cummings et al. for their comments. Our original search strategy identified the study by Hoffman et al.,1 but it was excluded from the final review. We agree with the limitations of this study, which Silverman et al. highlighted in an accompanying editorial:2 small sample size, inadequate clinical detail on patients (e.g., Mini Mental State Examination scores not provided), and difficulty in assessing the applicability of the results to routine practice (i.e., subjects had difficult-to-diagnose dementia and were recruited nonconsecutively from a memory disorder clinic). The study by Silverman et al.3 was published after our systematic review was completed. This study was described in our Discussion section. Although this study is a major improvement over the previous literature, we still have several concerns relating to its methodology. The method by which subjects were chosen for inclusion and the indications for performance of positron emission tomography (PET) are unclear. The results presented do not allow the incremental benefit of PET over standard clinical evaluation to be determined. Neither of these two studies changes our conclusion that the value of adding PET to the routine evaluation of patients with possible Alzheimer's disease (AD) has not been convincingly established. This conclusion is in agreement with the American Academy of Neurology's practice parameter on the diagnosis of dementia.4 We could not compare the sensitivity, specificity, or accuracy of PET with conventional diagnostic approaches to dementia because of the deficiencies and heterogeneity of the literature. Our findings highlight the need for better-quality studies of diagnostic tests such as PET. We hope that the Standards for Reporting of Diagnostic Accuracy initiative will provide direction to future studies of PET use in dementia.5 Cummings et al. suggest that the studies of PET's diagnostic accuracy conducted before the availability of cholinesterase inhibitors should be given less emphasis. Although we agree that the presence of drug therapy for dementia makes accurate diagnosis even more clinically important than before, we do not understand why this should affect the diagnostic accuracy of PET. Our goal was not to present an economic evaluation of PET for the diagnosis of AD. The cost-effectiveness analysis cited by Cummings et al.6 concluded that PET is associated with a cost savings, although the sensitivity analysis reveals this conclusion to be dependent upon the assumed sensitivity of PET. Furthermore, this hypothetical model makes important assumptions relating to the effectiveness and costs of cholinesterase inhibitor treatment for early AD, which we do not believe real world studies have substantiated. Cummings et al. correctly note that “probable AD” is not synonymous with “advanced AD,” but as dementia progresses, it may be easier to obtain a diagnosis of probable AD as defined by the National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer's Disease and Related Disorders Association criteria. Furthermore, if a patient has probable AD by these criteria, another means of diagnosis may not be needed, although additional confirmatory tests such as PET might have value in selected patients with difficult-to-diagnose dementia. We agree that dementia is often underrecognized and that better methods of identifying and characterizing dementia are needed. None of the diagnostic studies we reviewed were conducted in primary care. Accordingly, we are unaware of evidence to support the use of PET in this setting. Although the possibility that PET might improve diagnosis in primary care is exciting, there are many reasons for caution: •PET might become a substitute for careful clinical evaluation. •The sensitivity and specificity of PET in the early stages of dementia may be lower than in the studies done to date. •Many patients without AD may be falsely labeled as having AD (the relatively low specificity of PET is potentially a major problem in populations with a low prevalence of AD). •The cost of PET, and subsequent tests and therapies, in this large patient population could be high. We look forward to future, methodologically sound studies that address the use of PET in the beginning of AD.

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)0,011
score de la tête « metaresearch » (Gemma)0,105
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,118

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,105
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0030,002
Communication savante0,0050,005
Science ouverte0,0050,003
Intégrité de la recherche0,0270,025
Charge utile insuffisante (le modèle a refusé de juger)0,0350,023

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 Opus0,148
Tête enseignante GPT0,396
Écart entre enseignants0,248 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2004
Routes d'admission1
Résumé présentoui

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