Notice bibliographique
Résumé
We thank Son et al. [1] for their interest in our article [2] and for the points they raised. The authors bring up an issue that is both important and controversial, i.e. the impact of gender on outcomes after aortic valve surgery as well as the possible differential effect of anaemia in males versus females. Female gender has been included as a factor in many risk-scoring systems including the EuroSCORE [3]. However, several studies have found that female gender is not a risk factor for poor outcomes after aortic valve surgery. Fuchs et al. [4] studied the gender differences of patients undergoing aortic valve replacement (AVR) for isolated severe aortic stenosis and found that although women referred to AVR are older and more symptomatic, gender did not impact on operative and long-term mortality. In the oldest age group of 79 years and older, women even have a better outcome, presumably due to a longer mean life expectancy. However, it is important to differentiate the effect of gender as a confounder (affecting the relationship between anaemia and outcomes) and as an effect modifier (having a differential effect of anaemia on outcomes based on gender). In order for gender to be a significant confounder, it would have to be associated with either the exposure (anaemia) or outcomes (mortality and morbidity). In our study, we did not find gender to be significantly associated with either variable, and therefore, by definition, gender was not a significant confounder of the relationship between anaemia and outcomes. Furthermore, addition of gender to our multivariable model did not significantly change the effect of anaemia on outcomes. The threshold effect of anaemia on outcomes was observed for the entire cohort and was similar between males and females. Son et al. [1] also propose the notion that females may have a better tolerance to haemodilution than males. Our study was not designed to answer this question, but there is a lack of convincing evidence supporting this phenomenon in the literature. In our study, the impact of anaemia on outcomes was observed equally in males and females [2]. Son et al. [1] also propose that concomitant coronary artery bypass grafting surgery (CABG) surgery may be a confounder. Similar to gender, concomitant CABG was equally distributed within our exposure groups and addition of this variable to our model did not impact on the relationship between exposure and outcomes, suggesting that it was not a significant confounder in our population.
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 | 0,002 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,005 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,042 | 0,033 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,007 |
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 ».