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Record W2900103668 · doi:10.25040/ntsh2016.02.06

EPIDEMIC OF NEURAL TUBE DEFECTS IN UKRAINE, OR WHY CHILDREN`S DEATH AND DISABILITIES ARE NOT PREVENTED

2016· article· en· W2900103668 on OpenAlexaboutno aff
Andriy Bazylevych, Olha Tychkivska, Lyubov Yevtushok, Wladimir Wertelecki

Bibliographic record

VenueProceedings of the Shevchenko Scientific Society Medical sciences · 2016
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
Fundersnot available
KeywordsNeural tubeTube (container)MedicinePediatricsBiologyMaterials scienceGenetics

Abstract

fetched live from OpenAlex

Ukraine suffers from the neural tube defects epidemic. According to“Omni-Net” data (“Omni-Net” is the only Ukrainian International Charitable Organization that runs population-based monitoring of birth defects according to the international standarts and is a member of EUROCAT and ICBDSR) the rates of NTD in Northen and Western regions of Ukraine in 20002014 on Polissia territories reached 21 up to 25 per 10,000 live births, and on non-Polissia territories – from 14 to 18 per 10000 live births. This data was published in the European Journal of Medical Genetics in 2016 and these rates are the highest in Europe. 75% of all NTD cases in every country can be prevented by periconceptional (during 3 months before pregnancy and fi rst 2-3 months of pregnancy) intake of foic acid. Starting from 1999 USA and Canada implemented fl our fortifi cation with folic acid because of because of ineffectiveness of supplementation policy. Only ¼ – 1/3 of women took folic acid before pregnancy in Canada and USA, in Ukraine this number reaches only 7%. Since 1999, the prevalence of NTD decreased by 46% in Canada, and in USA there was observed a 38% reduction in prevalence for spina bifi da. Economic analysis showed a signifi cant benefi t from fortifi cation: as it is estimated by experts that all direct and indirect, medical and not medical cost for one child with spina bifi da are 20 times higher than fl our fortifi cation costs. Every year after fortifi cation policy was implemented, Health care system in USA saves appox. $508 mln. Ukraine already fortifi es fl our with folic acid and other microelemets but only for export. For example, in 2003 Ministery of Health of Indonesia implemented fortifi cation standarts for all fl our that is sold and consumed in their country, including mandatory folic acid fortifi cation (2ppm). Ukraine is second biggest exporter of fl our for Indonesia. But fortifi ed fl our is not sold in Ukraine… Every year in Ukraine approx. 23% of live birth children with NTD die. 99% of survivors are disabled. And this is happening while there is an effective way to prevent this tragedy. Experts estimate that 800 children born with NTD in Ukraine every year can be born healthy if fl our fortifi cation policy with folic acid is implemented.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.331
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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