Predictors for Skeletal-Related Events in Patients with Advanced Multiple Myeloma.
Notice bibliographique
Résumé
Abstract Most patients with advanced multiple myeloma (MM) develop bone lesions during their disease course. Myeloma bone disease can result in potentially debilitating and life threatening skeletal-related events (SREs) such as pathologic fracture, spinal cord compression, the need for palliative radiotherapy (RT) or surgery to bone, and hypercalcemia of malignancy. Bone-targeted therapies that prevent or delay SRE onset may maintain quality of life (QOL) and functional independence in patients with advanced MM. Yet, the risk factors for SREs in this patient population are not fully understood. Exploratory analyses were conducted to identify potential SRE risk factors in patients with bone lesions from MM who received either zoledronic acid or pamidronate every 3 to 4 weeks for up to 24 months in a large, randomized trial. Patients with complete baseline demographics, disease characteristics, and markers of bone metabolism information available were included (n=282). Dichotomous variables included sex, race (white/other), narcotic analgesics (yes/no), Eastern Cooperative Oncology Group performance status (active/impaired), prior SRE (yes/no), and values with a defined upper limit of normal (creatinine, lymphocyte %, hemoglobin, serum glutamic oxaloacetic transaminase, albumin, lactate dehydrogenase [LDH], and calcium). Continuous variables included age, weight, cancer duration, Functional Assessment of Cancer Therapy-General score, Brief Pain Inventory (BPI) score, and bone markers (eg, urinary N-telopeptide of type I collagen [NTX], deoxypyridinoline [DPD]). Paraprotein type was also included. Univariate and multivariate analyses to determine relative risks (RR) for reduced time to first SRE associated with baseline variables using Cox regression models were developed, and those that were not significant at the 5% level were removed by backward elimination to generate a reduced model. In the reduced multivariate model, lower weight (RR=0.94 per 5-kg increase; P=.021), higher BPI scores (RR=1.16 per 1-unit increase; P < .001), race other than white (RR=0.60; P=.028), need for narcotic analgesics (RR=1.61; P=.017), and high levels of NTX (RR=1.68 per 100-nmol/mmol creatinine increase; P=.005) significantly correlated with reduced time to first SRE. Pathologic fracture and RT to bone were the most common SREs; in multivariate models, lower weight and higher BPI scores were associated with increased RRs of both fractures and RT to bone. Race and DPD levels were also significant covariates for fractures, whereas high levels of LDH correlated significantly with need for RT. Because bone resorption marker levels were significant covariates, the correlation between baseline NTX and time to first SRE was assessed. High baseline NTX (≥ 50 nmol/mmol creatinine) was associated with increased risk of shorter time to first SRE: by a significant 67% in the zoledronic acid group (n=210; P=.015) and by a 57% trend in the pamidronate group (n=108; P=.114). Taken together, lower weight and pain parameters (eg, BPI or narcotic analgesics) correlated consistently with skeletal morbidity risks in patients with advanced MM. Treatments that facilitate the restoration of bone homeostasis, as evidenced by bone marker normalization, may reduce the risk of SREs, thus maintaining QOL in this patient 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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».