BI06 Global perspective on skin cancer in organ transplant recipients with skin of colour: a systematic review
Notice bibliographique
Résumé
Abstract Organ transplant recipients (OTRs) are at an increased risk of developing skin cancer due to long-term immunosuppression. Much of the existing literature focuses on White OTRs, and data on skin cancer incidence, presentation and outcomes in OTRs with skin of colour are limited. This systematic review aims to evaluate the current global literature on the epidemiology of skin cancer in OTRs with skin of colour including clinical presentation, risk factors and outcomes. A comprehensive literature search was conducted using four databases: MEDLINE, Embase, Web of Science Core Collection and CINAHL. Screening, full-text review and data extraction were performed in duplicate; one independent reviewer resolved any conflicts. There were no restrictions on publication date or language. Abstracts without full-text articles were excluded. Demographic data were collected including ethnicity and/or skin type, and information related to the type of organ transplant, duration and type of immunosuppression, type and number of skin cancer(s), skin cancer treatment and outcomes. Quality assessment was performed using the Newcastle–Ottawa Scale. Following deduplication, 725 articles were screened for eligibility and 267 were included for full-text review; 81 articles were included for data extraction (66 observational studies and 15 case reports) – the case reports were eventually excluded. The majority of studies were conducted in the USA (28 of 66, 42%) or East Asia (14 of 66, 21%). Data from patients of Black, Hispanic and Asian ethnicities were most frequently reported in these studies; however, there was significant heterogeneity in the reporting of ethnicities across papers and limited correlation with skin type. Most data were from kidney transplant recipients, and cutaneous squamous cell carcinoma (SCC) and SCC in situ were the most commonly reported skin cancers. Comparative data relating to risk factors, treatment and outcomes across ethnicities were minimal. Although several observational studies have assessed the burden of skin cancer in OTRs with skin of colour, comparative data are limited, as is the global distribution of these studies. Pooled analyses and further longitudinal research are needed to better define the risk of specific skin cancers in OTRs of different ethnicities and skin types. Factors such as age, sex, transplant type, immunosuppression regimen and duration, as well as comorbidities like HIV, should also be considered. Moving forward, a more granular approach – such as differentiating risk by specific ethnicities and skin types rather than broad racial categories – is essential for individualized risk stratification and tailored preventative care in this diverse, and vulnerable, 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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,008 | 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) | 0,000 | 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 tête enseignante, 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 ».