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Estimation of costs and economic efficiency of genetic screeningin the framework of prenatal diagnostics in Russia and foreign countries:factor analysis

2020· article· en· W3096827886 on OpenAlex
M.V. Medvedev G.N. Suvorov

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePrenatal Diagnosis · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationEstimationMedicineBusinessRisk analysis (engineering)Actuarial sciencePublic economicsEnvironmental healthEconomic growthEconomics

Abstract

fetched live from OpenAlex

Objectives. The purpose of this study was to analyze the possible costs and economic efficiency of genetic screening in the framework of prenatal diagnostics by identifying the key factors that cause the occurrence of costs in this area. Materials and methods. Analytical reviews and doctrinal sources of Australia, great Britain, Canada and the United States are studied. Methods used: general philosophical, general scientific, private scientific, special. Results. The key factors that cause the emergence of costs in the field of genetic screening in the framework of prenatal diagnostics, which must be taken into account when assessing its economic efficiency, are identified. Conclusions. It is summarized that the affordable state program of genetic screening within the framework of prenatal diagnostics in the future will recoup the costs in terms of reducing the incidence of severe hereditary diseases, for the treatment of which significant financial resources are spent. In other words, this approach will reduce the long-term costs associated with late diagnosis and subsequent treatment of the child. At the same time, the investment benefit of the widespread introduction of genetic screening technology in the framework of prenatal diagnostics will not be immediately apparent, but in the long term it will reduce the budget burden on the health system and lead to a General improvement of the population, which, in turn, will not only improve the quality of life of citizens, but also make a significant contribution to the development of the national economy.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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