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Record W3200928220 · doi:10.29309/tpmj/2018.25.09.141

BETA THALASSEMIA

2018· article· en· W3200928220 on OpenAlexaff
Iqbal Ahmed, Muhammad Ammar Sadiq, Umair Arshad, Hafiz Muhammad Anwar ul Haq, Sobia Tabassum, Arshia Sabir, Muhammad Ejaz ul Haq

Bibliographic record

VenueThe Professional Medical Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsDeer Lodge Centre
Fundersnot available
KeywordsMedicineThalassemiaImpaired glucose tolerancePediatricsDiabetes mellitusDemographicsBlood transfusionFerritinInternal medicineType 2 diabetesDemographyEndocrinology

Abstract

fetched live from OpenAlex

Background: Inadequate Blood Transfusion is responsible for various problemsin children with Thalasseima. On the other hand, repeated transfusions are related with hazards.About 25-50% of the children with thalassemia major have impaired glucose tolerance (IGT)or diabetes. Objectives: To find out the frequency of IGT in children with blood transfusiondependent β thalassemia. Study Design: Descriptive analytical study. Setting: Department ofPediatrics, Shahida Islam Teaching Hospital, Lodhran. Period: 1st July 2017 to 31st December2017. Material and Methods: Known 120 cases of beta Thalassemia major children between3-17 years of age that were regularly transfused. Demographics, disease history and personalinformation regarding all the patients were collected. Glucose tolerance test was performedand Serum ferritin levels were measured. Results were analyzed by SPSS software version20.0. Results: There were 78 (65.0%) children between 3-10 years and 42 (35.0%) between11-17 years. There were 70(58.3) male and 50 (41.7%) female. Frequency of impaired glucosetolerance was noted in 15 (12.5%). Conclusion: Frequency of IGT is high amongst children withthalassemia major having regular blood transfusions.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.321
Teacher spread0.307 · 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 designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

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