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Record W109219031 · doi:10.26443/mjm.v9i1.611

Potential risk of induced malaria by blood transfusion in South-eastern Nigeria

2020· article· en· W109219031 on OpenAlexvenueno aff
Chigozie Jesse Uneke, Ogbonnaya Ogbu, Vincent Nwojiji

Bibliographic record

VenueMcGill Journal of Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsnot available
Fundersnot available
KeywordsMalariaMedicineBlood transfusionBlood donorInternal medicineVeterinary medicineImmunology

Abstract

fetched live from OpenAlex

Induced malaria by blood transfusion is a potential health hazard but is often neglected in many malaria endemic areas. Standard parasitological technique was used to determine the prevalence of malaria among blood donors in the South-eastern Nigeria. Of the total 325 blood donors (310 males and 15 females) screened, 133 (40.9%, CI 95%: 35.6-46.2%) were infected with malaria parasite, 78 (58.6%) had 1-10 parasites per 100 thick film fields ('+' or 4-40 parasites per mm3) while 55 (41.4%) had 11-100 parasites per 100 thick film fields ('++' or 41-400 parasites per mm3). P. falciparum was identified in all the infected cases, however 3 (2.3%) persons had mixed infection with P. malariae. Males were more infected (41.3%, CI 95%: 35.8-46.8%) than females (33.3%, CI 95%: 9.4-57.2%). The infection decreased with age with highest prevalence of 48.5% among those aged 20-25 years. The infection significantly varied with age but not with sex (P<0.05). Individuals with blood group B were slightly more infected (42.1%, 95%CI., 19.6-64.6%) than those of groups O (41.0%,CI 95%: 35.3-46.7%) and A (40.0%, CI 95%: 20.8-59.2%) but there was no significant difference (P<0.05). Highest prevalence of infection was recorded in the month of April corresponding to the onset of the wet season. An overhaul of existing blood donation policies in many health facilities in the sub-Saharan Africa to incorporate malaria screening is advocated. Curative antimalarial drugs followed by prophylactic drugs should be given to all recipients of parasitized blood.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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 designBench or experimental
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

Citations70
Published2020
Admission routes1
Has abstractyes

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