MétaCan
Menu
Back to cohort

Acute Myeloid Leukaemia in Children: Preliminary Results of a National Protocol in Casablanca, Morocco

2015· article· en· W2588799177 on OpenAlexaff
Nabila Chellakhi, Nissrine Khoubila, Siham Cherkaoui, Abdallah Madani, Uma H. Athale, Asmaa Quessar

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineCytarabineInternal medicineEtoposideGastroenterologyPediatricsChemotherapy

Abstract

fetched live from OpenAlex

Abstract Introduction: The outcome of acute myeloid leukaemia (AML) in emerging countries is very dismal. In Morocco,the complete remission rate (CR) has improved from less of 10% in 1980s to more than 60% in 2000s. However this improvement is far from satisfactory to improve five year survival rate. The aim of study was to evaluate preliminary outcomes of children ≤15years treated according to AML- MA 11protocol. Methods : Between the first January 2011 to December 2014, we carrieed a prospective study of all children aged 15 years or less, diagnosed AML. The diagnosis was according by cytological study with cytochemestry: MPO positive (FAB classification), supplemented by immunophenotyping. The prognosis is evaluated by conventional cytogenetic study. AML-MA 2011 protocol consisted of prephase(whenwhite blood cell (WBC) count ≥ 50 G/l) by Hydroxyurea (HU) (50 mg/m2/day for 4 days). The response to HU was evaluated after 2 days; patients were considered responsers if >50% reduction of the initial WBC count. Then 2 inductions based on daunorubicin 50 mg/m2 (3 days), cytarabine 100mg/m2/12 hours (10 days) and etoposide 100 mg/m2 (5 days) for the second course, followed by 3 consolidations with high dose of cytarabine 1-3 g/m2/12 hours (3 days), with intrathecal therapy. The supportive care is assured during all phases of treatment. Results: Forty four patients were enrolled with a median age of 8 years [1-15] and M:F ratio of 1.2. The median WBC count was 22710 elements/mm3; it exceeded 50 000/mm3 in 18 % of cases, more than 100 000/mm3 in 13 % of cases.The cytological studies showed the predominance of AML subtype 2 (31%) followed by subtype 5 (11, 3%). The immunophenotyping was done in 88% of cases. Karyotype performed in 40 out of 44 cases revealed: 9 (22,5%) favorable risk group [8 had the t(8,21); 1 had inv16], 25 (62,5%) intermediate risk, and 6 (15%) unfavorable-risk group. Seven patients received hydroxy urea with 5 good response (71% of cases; 2 patients had favorable risk and 3 had intermediate risk). Four of this patients died. Thirty five patients were treated (3 death before treatment, 4 abandonment of treatment, 1 myelodysplasea syndroma, and 1 bad condition). After the induction cycles; complete remission was achieved in 22 cases (62%), failure in 6 cases, and 7 children dead (20%) [4 septic choc, 2 haemorrhage and 1 acute pulmonary edema]. One patient died between 0 to 14 days during the cure and 6 others after 14 days of treatment. After a mean follow-up of 9months (1 to 43 months), continuous complete remission was achieved in 45,7% of cases, failure in 20%, relapse in 11%, and death in 45,45 % of cases. (toxic death in 25% of cases with high frequence in induction phases: 88%). Theoverall survival rate in 2 years was 41,2%. Table. Evolution of patients according to prognostic groups Status/cytogenetic groups CR (%) Failure (%) Death (%) Relapse (%) OS (%) favorable 55 0 11 22 53,3 intermediate 32 32 16 4 34,4 unfavorable 33 16 16 16 55,6 Conclusion: With aggressive chemotherapy, it is feasible to achieve high CR even in emerging countries. If supportive care is optimal with particular focus on prevention and management of infection and with improved transfusion support, then it's feasible to improve the overall outcome of patients. Finally it is necessary to make the molecular biology in our patients topreciselyindividualize the pronostic groups. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.315
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicNeutropenia and Cancer InfectionsFrench-language works237,207