What's happening in <i>Neurology® Neuroimmunology & Neuroinflammation</i>
Notice bibliographique
Résumé
Impact of data-driven CSF protein upper reference limits in Guillain-Barré syndromeObjective We conducted a retrospective review of patients with a diagnosis of Guillain-Barré syndrome (GBS) to assess the diagnostic impact of applying age-adjusted upper limits for CSF total protein (CSF-TP) supported by a systematic literature review.Methods Cases coded as GBS or inflammatory neuropathy for the period 2001-2016 at The Ottawa Hospital were reviewed.Cases were included if they met the Brighton criteria for GBS with a diagnostic certainty level 1 or 2 and had contemporaneous CSF-TP data.We excluded cases with CSF pleocytosis >50 and cases with Miller-Fisher syndrome.Age-adjusted reference limits were compared with conventional 0.45 and 0.6 g/L upper limits.Results One hundred thirty-eight cases met the study criteria, with a mean age of 47 years.The mean interval from symptom onset to lumbar puncture was 7.9 days, and mean CSF-TP was 1.23 g/L.There was a strong correlation between rising CSF-TP and time to lumbar puncture.Age-adjusted CSF-TP had a significantly lower sensitivity of only 45% in the first week (32% in the first 3 days) compared with 70% in the first week for the 0.45 g/L limit.All upper limits gained high sensitivity after the first week. ConclusionsThe low sensitivity of CSF-TP for the diagnosis of GBS is exacerbated by age-adjusted upper limits.The main role of lumbar puncture in GBS in the first week may be to help exclude other inflammatory or neoplastic etiologies of acute neuropathy.After the first week, the magnitude of the CSF-TP rise reduces the effect of different upper reference limits. NPub.org/N2/948a Neuromyelitis optica spectrum disorder: Patient experience and quality of lifeObjective To gain insights into NMOSD disease impact, which may negatively affect QoL of patients, their families, and social network.Methods The current study used validated instruments to assess physical, emotional, and socioeconomic burden of NMOSD on QoL among 193 patients.Results A majority of patients reported an initial diagnosis of a disease other than NMOSD.Overall, two-thirds of patients reported NMOSD as having a strong negative impact on physical health (Short Form-36 [SF-36] score 27.1 ± 39.1), whereas emotional well-being was relatively unimpaired on average (SF-36 score 54.0 ± 44.9).A subset of patients reported having the highest category of emotional health despite worse physical health or financial burden, suggesting psychological resilience.Pain (r = 0.61) and bowel/bladder dysfunction (r = 0.41) imposed the greatest negative physical impact on overall QoL.In turn, ability to work correlated inversely with worsened health (r = -0.68).Increased pain, reduced sexual function, inability to work, and reduced QoL had greatest negative impacts on emotional well-being.Dissatisfaction with treatment options and economic burden correlated inversely with QoL.Conclusions Collectively, the current findings advance the understanding of physical, emotional, social, and financial tolls imposed by NMOSD.These insights offer potential ways to enhance QoL by managing pain, enhancing family and social networks, and facilitating active employment.
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 | 0,038 | 0,137 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,006 | 0,007 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 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 ».