Neutrophil-to-lymphocyte Ratio and Red Cell Distribution Width as Potential Biomarkers of Frailty: a Scoping Review
Notice bibliographique
Résumé
Background Frailty is associated with aging, which has recently become a health issue needs to be addressed urgently in the aging population. Neutrophil-to-lymphocyte ratio (NLR) and red cell distribution width (RDW) are novel inflammatory markers that are readily available clinically. Understanding the association of them with frailty is helpful to identify and monitor the development of frailty. There are few studies on the association of NLR and RDW with frailty, and they are not appropriate for traditional meta-analysis due to great heterogeneity between the study results. Objective To perform a scoping review of studies on NLR and RDW as potential biomarkers of frailty, so as to provide a reference for clarifying the pathogenesis of frailty and developing or improving frailty-related assessment tools. Methods Studies on the association of NLR and RDW with frailty were searched in eight databases (PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang Data, VIP and SinoMed) from inception to March 1, 2022. The studies on NLR and RDW as potential biomarkers of frailty was independently screened by two investigators, and the first author, publication time, country or region of publication, sample information, study methods, assessment tools, and assessment results were extracted. The quality of the literature was assessed using the Newcastle-Ottawa Scale and the AHRQ checklist for cross-sectional studies. Results A total of fourteen studies were enrolled, including five cross-sectional studies, four longitudinal studies, one cohort study and four case-control studies, which were all rated≥4 points in terms of methodological quality, indicating that they were high quality. Nine studies examined the association between NLR and frailty, and seven of them showed that elevated NLR was independently associated with increased risk of frailty, and could predict its progression. Seven studies analyzed the association between RDW and frailty, and five of them showed that elevated RDW was independently associated with increased risk of frailty, and could predict its progression. Conclusion Some studies have shown that the risk of frailty increased with the elevation of NLR or RDW in different populations, and its progression could be predicted by NLR or RDW. As potential biomarkers of frailty, NLR and RDW could provide evidence for the pathogenesis of frailty, and a new theoretical basis for the development or improvement of frailty assessment tools. However, the optimal cut-off value of both for predicting frailty in different age groups and sex groups needs to be studied further.
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 | 0,016 | 0,079 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,008 | 0,010 |
| Bibliométrie | 0,025 | 0,021 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».