Estudo de potenciais marcadores inflamatórios e fator neurotrófico derivado do cerebro na dor neuropática persistente em pacientes oncológicos
Notice bibliographique
Résumé
Introduction: Chemotherapy Induced Peripheral Neurophic Pain (CIPNP) is a serious adverse effect that can persist up to 2 years after discontinuation of antineoplastic treatment. The clinical subordination of the CIPNP involves a loss of the benefits of cancer treatment in addition to a significant impact on quality of life. The pathophysiological mechanisms involved in CIPNP are not yet fully elucidated and generally dependent on the mechanism of action of antineoplastic agents. Neuroinflammation involved the pathophysiology of CIPNP had more and less time discussed. Induction induced by chemotherapy stimulates the infiltration of macrophages and secretion of various cytokines and chemokines. Objective: to evaluate plasma levels of inflammatory markers and brain-derived neurotrophic factor in patients with persistent chemotherapy-induced neuropathy. METHODS: A cross-sectional, analytical and correlational study evaluating 32 cancer patients, 19 of whom had no neuropathic pain and 13 with neuropathic pain, 6 to 9 months after chemotherapy and 23 healthy controls, using a clinical self-report of neuropathic pain symptoms , Short Pain Questionnaires, Questionnaire of Chemotherapy-Induced Neurotoxicity (QNIA), Quality of Life Scale (FACT / GOG-Ntx), Hospital Anxiety and Depression Scale (HAD). Dosages of BDNF, cytokine IL-6 and chemokines CXCL8 / IL-8, CXCL10 / IP-10, CCL2 / MCP-1, CCL5 / RANTES, CXCL9 / MIG and Eotaxin. Results: Cancer patients had a median age of 52.5 years. There was a predominance of women, with a diagnosis of stage II or III breast cancer, in adjuvant treatment mainly with paclitaxel, being the main antineoplastic protocol, Adrianicina, Cycliphosphamide and Paclitaxel (AC-T). 62.5% of the patients presented complaints of pain with moderate to intense intensity. In addition, patients with neuropathic pain had higher rates of sensory and affective pain. In this same group, symptoms of paresthesia and dysesthesia in MMII and MMSS were more present. As well as, higher quality of life scores in subscales physical well-being and neurotoxicity, however, there was no significant difference in the symptoms of depression and anxiety between groups. The presence of neuropathic pain did not differ between the groups without neuropathic pain and control in the concentrations of inflammatory markers and BDNF. However, a reduction in the concentrations of BDNF and CCL2 / MCP1 was found in the group without neuropathic pain compared to the groups with neuropathic pain and control. The CXCL8 / IL8, CCL5 / Rantes and CCL11 / Eotaxin proteins correlated positively with quality of life in the neuropathic pain group. While CCL2 / MCP-1 showed a negative correlation in the group without neuropathic pain. In this same group BDNF correlated negatively with the subscale neurotoxicity. Conclusion: The present study did not show an association between neuropathic pain, inflammatory markers and neurotrophic factor. However, patients with neuropathic pain have higher rates of sensory and affective pain, greater symptoms of paresthesia and dysesthesia in MMII and MMSS, as well as impairment in quality of life
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».