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Enregistrement W6976873748 · doi:10.6084/m9.figshare.29387378.v1

Revaccination following CAR-T therapy: a needs assessment

2025· article· en· W6976873748 sur OpenAlexaboutno aff

Notice bibliographique

RevueFigshare · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFocus groupCLARITYNeeds assessmentAuditPrimary careQualitative researchPatient educationSchedule

Résumé

récupéré en direct d'OpenAlex

CD19-targeted chimeric antigen receptor T-cell (CAR-T) therapy has transformed treatment for relapsed/refractory large B-cell lymphoma, offering promising remission rates. However, it carries significant infectious risks, necessitating revaccination for infection prevention. This single-center quality improvement study aimed to (1) assess revaccination uptake and barriers in CAR-T recipients through interviews and focus groups, and (2) use qualitative insights to develop an educational handout to improve revaccination adherence. The study was conducted at Juravinski Hospital and Cancer Centre, Hamilton, Ontario, and enrolled 22 patients who received CAR-T between January 2020 and June 2023. Participants completed a survey evaluating their revaccination experience, which informed the development of a patient-facing educational handout. A focus group of survey participants then reviewed the handout and offered feedback on its clarity and usefulness. Only 50% of participants proceeded with revaccination. Key barriers included limited awareness among primary care providers (PCPs), poor communication between hematologists and PCPs, and logistical difficulties. The focus group highlighted gaps in understanding post-CAR-T immunization needs and emphasized the importance of patient and physician education. Participants supported the creation of a concise handout outlining the revaccination schedule and clarified the PCP's role in coordination. This study underscores the need for improved communication across care providers and accessible patient education to support post-CAR-T revaccination. Future efforts should focus on implementing and evaluating targeted educational tools to enhance vaccine uptake in this high-risk population.. CD19-targeted chimeric antigen receptor T-cell therapy (CAR-T) is a newer treatment for relapsed/refractory (R/R) large B-cell lymphoma (LBCL) that has shown durable remission rates.Infection is a significant cause of morbidity and mortality associated with CAR-T. Studies have shown the cumulative incidence between 44% to 53% within 1 year following CAR-T infusion.To help reduce the rates of vaccine-preventable infection, guidelines have recommended revaccination following CAR-T. These recommendations have been extrapolated from studies with allogeneic stem cell transplantation.Given the relatively new nature of CAR-T, there is a lack of studies looking at revaccination rates and barriers to revaccination. CD19-targeted chimeric antigen receptor T-cell therapy (CAR-T) is a newer treatment for relapsed/refractory (R/R) large B-cell lymphoma (LBCL) that has shown durable remission rates. Infection is a significant cause of morbidity and mortality associated with CAR-T. Studies have shown the cumulative incidence between 44% to 53% within 1 year following CAR-T infusion. To help reduce the rates of vaccine-preventable infection, guidelines have recommended revaccination following CAR-T. These recommendations have been extrapolated from studies with allogeneic stem cell transplantation. Given the relatively new nature of CAR-T, there is a lack of studies looking at revaccination rates and barriers to revaccination. In this study, we aimed to determine revaccination uptake and barriers in patients receiving CAR-T through structured interviews and focus groups. Further, we used qualitative methods to map identified themes to inform an educational handout for patients to improve revaccination.We enrolled 22 eligible patients who had received CAR-T between January 2020 and 223. Participants completed a quality assurance survey on the revaccination process, which informed the creation of a revaccination educational handout. A focus group of survey participants reviewed the handout for its effectiveness in educating patients on post-CAR-T vaccination and provided further revaccination recommendations.We found that only 50% of participants proceeded with revaccination post-CAR-T. The most common barriers identified were perceived lack of awareness among primary care providers (PCPs), inadequate communication between the hematologist and PCP, and logistical challenges.The focus group revealed gaps in understanding CAR-T-related immunization needs and emphasized the necessity for clear patient and physician education. It also emphasized the integral role of the PCP in revaccination coordination, and the necessity for a clear, concise handout outlining the post-CAR-T revaccination schedule. In this study, we aimed to determine revaccination uptake and barriers in patients receiving CAR-T through structured interviews and focus groups. Further, we used qualitative methods to map identified themes to inform an educational handout for patients to improve revaccination. We enrolled 22 eligible patients who had received CAR-T between January 2020 and 223. Participants completed a quality assurance survey on the revaccination process, which informed the creation of a revaccination educational handout. A focus group of survey participants reviewed the handout for its effectiveness in educating patients on post-CAR-T vaccination and provided further revaccination recommendations. We found that only 50% of participants proceeded with revaccination post-CAR-T. The most common barriers identified were perceived lack of awareness among primary care providers (PCPs), inadequate communication between the hematologist and PCP, and logistical challenges. The focus group revealed gaps in understanding CAR-T-related immunization needs and emphasized the necessity for clear patient and physician education. It also emphasized the integral role of the PCP in revaccination coordination, and the necessity for a clear, concise handout outlining the post-CAR-T revaccination schedule. Although this is a small study, it does demonstrate a poor revaccination uptake in our CAR-T population, and the need for further optimization. Although this is a small study, it does demonstrate a poor revaccination uptake in our CAR-T population, and the need for further optimization. We have demonstrated the need for improved coordination between healthcare providers and the need for accessible educational resources to enhance post-CAR-T revaccination

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)0,021
score de la tête « metaresearch » (Gemma)0,026
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,111

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0210,026
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0040,001
Communication savante0,0020,003
Science ouverte0,0020,005
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,056
Tête enseignante GPT0,387
Écart entre enseignants0,331 · 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
Publié2025
Routes d'admission1
Résumé présentoui

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