Notice bibliographique
Résumé
Background: Intestinal infections are frequently occur among children with cancer who receive chemotherapy. On the other hand, diarrhea is especially common and severe among cancer patients that develop neutropenia, either due to the disease itself or due to the intensive chemotherapy. There are many causes of diarrhea among those patients, but intestinal infections still an important etiology among them.
 Objectives: to study the frequency of diarrhea among neutropenic children, with its infectious etiologies, especially the bacterial, fungal and parasitic causes.
 Type of the study:Cross-sectional study.
 Methods: the study was done in the Oncology Department of Nanakali Hospital for Haematological diseases and malignanciesin Erbil City, on pediatric age group. One hundred six children with cancer were followed up during the period between January – May 2017, of them only 50 patients who full fill the criteria of being (neutropenic, diarrheic, and age < 14 years), and those were regarded as the study group, compared to 20 patients who had the same criteria (diarrheic, and age < 14 years) but notneutropenic.They were investigated for the infectious causes of diarrhea especially bacterial, parasitic, and fungal agents. Data were analyzed statistically using SPSS program and Correlation test was also used. The results were regarded significant with p < 0.05.
 Results: A total of 70 diarrheal episodes in 106 cancer children were detected, 50 of them were neutropenic while 20 were not. Intestinal infections were detected in 62% of the 1st group and in 45% of the 2nd one, while the causes in the remaining cases of diarrhea (38%) cannot be identified. Bacterial pathogens were the main agents that causes diarrhea followed by fungi then parasites with an infectious rates of (28%, 20%, and 14% respectively).
 Conclusions: Diarrhea commonly developed among cancer children with neutropenia. Bacteria are the most incriminated pathogens followed by Candida and parasites. This study noticed the presence of other etiologies for diarrhea beside infectious causes that should be considered and investigated in the future researches and during management of diarrhea in those patients.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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) | 0,006 | 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 ».