Effects of Obesity on Stem Cell Transplant Outcomes in Acute Myeloid Leukemia Patients: A Systematic Review and Meta-Analysis
Notice bibliographique
Résumé
Background: Acute myeloid leukemia is a type of hematologic malignancy that specifically affects the stem cell progenitors of the myeloid origin. The malignancy is one of the most commonly diagnosed leukemias, with its annual incidence being as high as 25% of all the leukemia cases diagnosed. The overall prognosis of this cancer is generally poor. However, the development of aggressive therapies, such as hematopoietic stem cell transplants, has tremendously improved the prognosis. It is therefore necessary that the different factors that affect the response of these patients to hematopoietic stem cell transplantation (HSCT), such as obesity, be analyzed. Methodology: A systematic search was conducted on three electronic databases, Google Scholar, Science Direct, and PubMed, for relevant peer-reviewed articles from inception to April 2024. After a detailed review based on predetermined eligibility criteria, only the articles that met the inclusion criteria were used in the data extraction and analysis. We utilized the Review Manager software for all statistical analyses and the Newcastle Ottawa Scale for quality appraisal for all included studies. Results: The online search yielded 240 studies; however, after careful assessment based on our predetermined eligibility criteria, only five studies were included, and the various data obtained were used in the data analysis. Our analysis showed that obese patients who received HSCT did not have significantly different risk of death compared to the normal weight patients OS RR (1.08; 95% CI [0.98, 1.20] p= 0.13). When subgroup analysis was conducted, the risk of mortality was increased in patients who received allogeneic stem cells RR ( 1.11; 95% CI [1.01, 1.22] p =0.04), and no difference was observed in those who received autologous stem cells RR ( 0.71; 95% CI [0.34, 1.59] p = 0.37). Similarly, obesity did not significantly reduce the risk of leukemia relapse RR (0.89;95% CI [0.78, 1.01] P = 0.08). However, in those that received allogeneic HSCT, the risk of relapse was reduced in obese patients RR (0.86; 95% CI [0.75, 0.99] p= 0.03), and no significant difference was observed in those patients that received autologous stem cells RR (1.19; 95% CI [0.81, 1.75] P=0.38). Conclusion: Based on our analysis, obesity did not significantly affect the prognosis of AML patients who received HSCT. However, when allogeneic HSCT was considered, obesity increased the risk of mortality and reduced the risk of leukemia relapse. However, since the analysis was based on a limited number of studies, we recommended that further studies be conducted to generate enough empirical evidence on the impact of obesity on the prognosis of AML patients who received HSCT.
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 | 0,008 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,013 | 0,027 |
| Bibliométrie | 0,006 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».