Adverse Health Outcomes Among Organ Replacement Patients in Canada
Notice bibliographique
Résumé
BACKGROUND: Organ transplantation is one of the best modalities for treating fatal organ failure. Despite the success of this procedure, an increasing incidence of cancer in this population has drawn the attention of public health officials in recent years. OBJECTIVES: The overall objective of this study is to conduct a detailed examination of adverse health outcomes among Canadian organ transplant recipients, with an emphasis on cancer incidence and mortality. METHODS: This project employed a retrospective cohort follow-up study design, whereby Canadian Organ Replacement Registry records were linked to the Canadian Mortality Database and the Canadian Cancer Registry Database. The study population consisted of more than 16,000 solid organ transplant recipients registered between January 1, 1981 and December 31, 1998. This study was designed to assess the risks of developing cancer, overall and site-specific, in transplant recipients in comparison to the general Canadian population using Standardized Incidence Ratios (SIR), Standardized Mortality Ratios (SMR), and Proportionate Mortality Ratios (PMR). In addition, Cox and logistic models were used to assess the effects of various risk factors on cancer incidence and mortality in transplant sub-populations, while cumulative incidence was used to study the patient survival pattern. Lastly, Population Attributable Risk (PAR) was used to quantify the impact of organ transplantation on cancer incidence and mortality. RESULTS: Among major causes of death, the highest PMRs are due to genitourinary diseases, followed by endocrine, nutritional and metabolic diseases, and infectious diseases. SIRs indicate that cancer incidence and mortality were relatively lower than that observed for other major causes of death, and slightly higher than that observed in the general Canadian population. Lastly, logistic regression results indicate that age, year of surgery, and smoking status were significant risk factors in mortality due to all causes, while the Cox regression model shows that age, sex and year of surgery were significant risk factors for cancer incidence. Overall, the PAR in this cohort was very minimal, indicating that the risk in mortality and cancer incidence due to organ transplantation is negligible. CONCLUSION: Life threatening diseases such as those of the genitourinary system, as well as endocrine, nutritional and metabolic diseases and infectious diseases are leading causes of death. Future research should be directed at ways of reducing incidence and subsequent mortality due to these causes.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».