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Record W3199951929 · doi:10.3329/cbmj.v8i1.55665

Study on Screening tests among the Blood donors in Community Based Medical College Hospital, Mymensingh, Bangladesh

2019· article· en· W3199951929 on OpenAlexaff
Nilufar Begum, Md Yunus Ali, A. Haque

Bibliographic record

VenueCommunity Based Medical Journal · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsCommunity Based Research Centre
Fundersnot available
KeywordsMedicineSyphilisBlood donorBlood transfusionDonationMalariaHuman immunodeficiency virus (HIV)Hepatitis BBlood unitsHIV screeningEmergency medicineInternal medicineFamily medicineImmunology

Abstract

fetched live from OpenAlex

The aim of the study was to find out the prevalence of transfusion transmitted diseases (TTD) in voluntary and Replacement donors. A total of 4,885 donors were analyzed for the prevalence of TTD over a period of 1 year and 9 month from August 2016 to May 2018, Conducted at the Community Based Medical College Hospital, Mymensingh, Bangladesh, of these 38.8% were voluntary donors and 61.2% were replacement donors. Prevalence of Hepatitis B virus (HBv) was highest (.86%) followed by syphilis (.3%), HCV (.14%), Malaria (.06%) and HIV (.04%). Prevalence was more in male replacement donors. Seropositivity of TTD of this study was much lower among blood donors due to proper medical assessment of donors. Pre-donation donor screening procedures is helpful in improving the blood safety and reduces the prevalence of transfusion transmitted diseases.
 CBMJ 2019 January: vol. 08 no. 01 P: 19-22

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)0.015
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient 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 score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.282
Teacher spread0.249 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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