Response to Canbaz and Colleagues
Notice bibliographique
Résumé
To the Editor: In Canbaz and colleagues’ thoughtful comments1 on our recent article,2 they noted that, even without a precipitating trauma, older adults may experience functional decline over time. They thus questioned the absence of a control group to support that the observed decline was the result of injuries that would not have happened otherwise. We would like to clarify that our hypothesis was not to prove that trauma was the reason for the observed new activity of daily living (ADL) disabilities but was rather that older adults who developed these disabilities after injuries are frailer and more cognitively impaired than those who did not. Nonetheless, a substudy was conducted (manuscript in preparation) comparing ADL disabilities over time in older adults with injuries and those with medical conditions (matched on age, sex, baseline ADL function, comorbidities, frailty) discharged from emergency departments (EDs). Preliminary results indicate that new disabilities in both groups were similar but that individuals with medical conditions were more fearful of falling, more likely to use a walking aid, and more likely to use the ED and had much less social support than injured older adults. Canbaz and colleagues also state that delirium is common in EDs, which we completely agree with. Delirium was an exclusion criterion in the study. This was more clearly stated in other studies from our team.3, 4 In addition, because all subjects were fit for discharge home from the ED, the risk of missclassifying individuals with delirium as having persistent cognitive impairment was minimal. To answer the question about possible misclassification due to the Montreal Cognitive Assessment (MoCA) cutoff (23/30) used for in-person evaluations, Table 1 compares the initial published risk ratios (RRs) with those found when a MoCA cutoff of 21 is used and shows that the results were very similar to the initial findings.2 Twenty-three percent of older adults were below this, which is comparable to the 25.4% of older adults evaluated in telephone interviews (Modified Telephone Interview for Cognitive Status (TICS-m) cutoff 31/50). We believe that our findings of greater risk of new ADL disabilities with increasing frailty and cognitive impairment are valid. Unfortunately, separate comparative analyses on MoCA and TICS-m subsets could not be performed adequately. With fewer subjects (MoCA subset especially) and given the number of parameters to be estimated, we encountered convergence failures of the multivariate models. We thank Canbaz and colleagues for their interest in our work and hope exchanges like this will continue to help improve research in EDs that are engaged in improving care of older adults. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. Author Contributions: Sirois, Provencher, Émond: preparation of letter. Neveu: statistical analyses. Sponsor's Role: Not applicable.
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 | 0,007 | 0,051 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,006 | 0,006 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,044 | 0,045 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,017 |
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 ».