MétaCan
Menu
← Retour à la cohorte
Enregistrement W4405051535 · doi:10.1182/blood-2024-211007

Delays from Progression to Initial Appointment Occur with External Referrals for CAR T-Cell Therapy but Do Not Impact Survival

2024· article· en· W4405051535 sur OpenAlexaffabout
Sita Bhella, Katrina Hueniken, Osamah Jamal S. Jarallah, Melissa T. Maltez, Rachel Aitken, Carmel Waldron, Michael Crump, John Kuruvilla, Anca Prica, Vishal Kukreti, Robert Kridel, Abi Vijenthira, Chloe Yang, Richard Tsang, David Hodgson, Danielle Rodin, Nauman Malik, Woodrow Wells, Christine I. Chen

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensOttawa HospitalUniversity Health NetworkPrincess Margaret Cancer Centre
Organismes subventionnairesEisaiBeiGeneAstraZenecaEli Lilly and Company
Mots-clésMedicineInternal medicineIntensive care medicine

Résumé

récupéré en direct d'OpenAlex

Background Princess Margaret (PM) is the referral centre for antiCD19 CAR T-cell therapy (CART) for a large regional, provincial and national population. We sought to determine if patients referred from out of province (OOP) or from centres in province but external to our centre (EIP) experienced delays in treatment, inferior survival or increased toxicity compared to local populations (LIP). Methods: This is a single-centre retrospective review of consecutive patients with RR-LBCL referred for CART at PM from April 2020-November 2023 for ³ 3rd line therapy. Outcomes included progression-free survival (PFS) defined from date of cell infusion/ date of intake (for pts that failed to proceed with CART (PFPC)) to PD/death/last follow-up. Overall survival (OS) defined from date of cell infusion/date of intake (for PFPC) to death/last follow-up. Metrics to infusion were examined including dates of: CT demonstrating progression post 2L+ therapy, referral, intake, apheresis and infusion. Toxicity outcomes included rates of CRS, ICANS, use of tocilizumab/steroids/ICU and non-relapse mortality. Results: 238 consecutive patients were included for analysis, with 183 receiving CART and 55 who were referred but did not receive CART (no CART). No significant difference in baseline characteristics between LIP,EIP and OOP cohorts were seen: median age(yrs) (58.6,60.1,61.8, p=0.19), % male (62,63,61, p=0.96), % stage 3-4 (81,75,88,p=0.27), % bulky disease > 7 cm (46,42,33,p=0.30), % extranodal disease (59,54,59,p=0.78), % history of CNS disease (7,8,4,p=0.71, % refractory disease (59,66,64,p=0.67) and % treated with autologous stem cell transplant (29,24,27,p=0.78). EIP pts had a significantly higher ECOG 2+ population as % with ECOG 2+ was LIP 20%, EIP 38% and OOP 15% (p=0.001). 19% received tisa-cel, 58% received axi-cel and 23% received no CART (p=0.27). 167 (70%) pts were referred from Ontario (78 EIP and 89 LIP) and 71 (30%) were from out of province (OOP). When comparing Ontario to OOP pts, 77.8% v. 74.6% of referrals received CART. 84.3% of LIP compared to 70.5% of EIP referrals received CART (p=0.095). Bridging was used in 73% Ontario pts compared to 59% OOP pts (p=0.046). Date of CT demonstrating progression to initial visit for the whole cohort was a median of 11 days (0-177) for LIP, 16 days (0-189) for EIP and 22 days (0-113) for OOP (p<0.001). Date of CT demonstrating progression to initial visit for pts who received CART was similar and was a median of 11.5 days (0-177) for LIP, 18 days (0-73) for EIP and 21.5 days (0-113) for OOP. Median days from CT demonstrating progression to CART for LIP, EIP and OOP pts was 44(19-100), 45(33-85) and 48(20-88). (p=0.049) Median days from initial visit to CART for LIP, EIP and OOP pts was 49 (30-111),50 (24,94) and 56 (40,95) days (p=0.018). Median days from apheresis to CART for LIP, EIP and OOP pts was 35(27-107), 36(28-70) and 35(28,74) (p=0.736). There was no OS difference from infused date for pts receiving CART between LIP, EIP and OOP pts (p=0.46). The 12-month OS of the whole cohort, all Ontario, LIP, EIP and OOP was 67.0% 95% CI (58.9%,76.1%), 66% 95% CI (57.2%,76.1%), 66.3% 95% CI (56.0%,78.6%), 66.9% 95% CI (52.0%,86.1%) and 68.8% 95% CI (50.1%,94.6%). There was no PFS difference between LIP, EIP, OOP pts (p=0.075). The 6-month PFS of the whole cohort, all Ontario, LIP, EIP and OOP was 53.5% 95% CI (32.3%,88.6%), 49.6% 95% CI (28.8%,85.6%), 53.4% 95% CI (31.2%,91.4%), 41.7% 95% CI (31.2%,91.4%) and 68.2% 95% CI (42.7%,100.0%) No significant differences in CRS Grade 3+ (p=0.26), ICANS (p=0.54), ICANS Grade 3+ (p=0.67), use of steroids (p=0.086) and non-relapse mortality (p=0.76) between LIP, EIP and OOP pts were noted. Significant differences in CRS (LIP 92%, EIP 78%, OOP 96% p=0.01), tocilizumab use (LIP 82%,60% EIP,70% OOP p=0.02) and ICU admission (LIP 9%, EIP 11%,0% OOP p=0.028) were seen. Conclusions: External patients were noted to have significant differences in time to progression to intake visit and time from intake visit to CART. There was no significant difference in patients receiving CART between groups. No differences in PFS or OS were noted between infused patients. More Ontario patients were admitted to the ICU than OOP pts. EIP pts had poorer intake ECOG, less CRS and tocilizumab use although analysis is limited by sample size. Initiatives to reduce time from progression to intake for external patients, such as local infrastructure and provider education, may be needed.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,068
Tête enseignante GPT0,396
Écart entre enseignants0,328 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetCAR-T cell therapy research→Travaux en français237 207→