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Record W3019631937 · doi:10.15562/bmj.v8i3.1655

Post total splenectomy outcome in thalassemia patients

2019· article· en· W3019631937 on OpenAlexaff
Muntadhar Muhammad Isa, Amir Thayeb, Ahmad Yani, Muhammad Bayu Zohari Hutagalung

Bibliographic record

VenueBali Medical Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsSplenectomyMedicineThalassemiaBlood transfusionComplicationSurgeryGastroenterologyInternal medicineSpleen

Abstract

fetched live from OpenAlex

Introduction: Splenectomy in thalassemia patient is indicated in the transfusion-dependent patient when hypersplenism increases blood transfusion requirement, prevents adequate control of body iron with chelation therapy and increased risk for infection.Method: This study was retrospective study aims to evaluate the outcome of splenectomy in pediatric thalassemia patients and its related factor. A total 34 thalassemia patient with post total splenectomy patients was included in this study.  Result: Mean age was 20.7 ± 6.5 years old with majority mild malnutrition (61.8%) and the majority of spleen size Schaffner 6-7 (73.5%). The duration between thalassemia diagnosis and total splenectomy was 6-7 years. Statistical analysis showed significant decreased of mean blood transfusion volume from 4691.4 cc per year to 3764.2 cc per year (p = 0.048), decreased mean blood transfusion volume from 219.6 cc per Kg Body Weight (BW) per year to 125.5 cc per Kg BW per year (p<0.001) and decreased of blood transfusion frequency from 12-14 times per year to 6-8 times per year (p<0.001). There is only one case subcutaneous emphysema as complication after splenectomy.Conclusion: Overall, this study showed total splenectomy improve the outcome of thalassemia with hypersplenism with low rate of complication.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.007
GPT teacher head0.278
Teacher spread0.271 · 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.

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

Citations7
Published2019
Admission routes1
Has abstractyes

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