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Record W7033304988

Prenatal Diagnosis and Selective Therapeutic Abortion in the Prevention of Down's Syndrome - An Evaluation Emphasizing Medical & Economic Issues

2014· dissertation· en· W7033304988 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2014
Typedissertation
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsDiseasePopulationCircumstantial evidenceEpidemiologyPregnancyAbortion
DOInot available

Abstract

fetched live from OpenAlex

<p>The organization of Health Care in Canada is such that many of the crucial decisions affecting the health of our population are made by politicians whose previous experience has not been in the health sector. This thesis is an attempt to present some of the medical and economic issues related to the prenatal diagnosis of disease in a form which can be readily understood by individuals who are neither physicians nor economists.</p> <p>The technology responsible for prenatal diagnosis has developed very rapidly over the past few years and now the need for an evaluation of the potential role of these techniques in, the prevention of serious genetic disease is widely recognized. This thesis evaluates the effects of prenatal diagnosis on Down's Syndrome, which is the most common serious genetic disease identified in this way, but many of the findings can be applied to other serious genetic disorders.</p> <p>The extent of the problem presented by Down's Syndrome was evaluated by reviewing the literature related to the medical, developmental and epidemiological characteristics of the disease. The findings indicate that this serious disorder is fundamentally irreversible despite the major effects that are made to provide special medical, educational and residential facilities for affected individuals. In addition, Down's Syndrome is a relatively common disorder and it is estimated that there are approximately 130 affected infants born each year and that there are 9,000 affected individuals in Ontario at the present time. The specific cause of the disorder remains unknown although the increasing incidence of affected infants with advancing maternal age is well recognized. The new techniques of prenatal diagnosis and selective abortion offer the only effective method of preventing the birth of these seriously and irreversibly handicapped infants.</p> <p>The procedures involved in obtaining a prenatal diagnosis are reviewed in some detail and it is concluded that the techniques are both medically safe and diagnostically reliable when provided by experienced personnel. Parents are offered a therapeutic abortion when a defective fetus is identified and although a mid-trimester abortion is associated with some morbidity and mortality, the risks are not greater than those associated with a full-term delivery. These findings suggest that prenatal diagnosis could be made available to all those parents who would benefit from health information of this sort without imposing unacceptable health hazards.</p> <p>A major section of this thesis devoted to the evaluation of the economic effects of a program proving prenatal diagnosis, using the technique of cost-benefit analysis. The implications of several diagnostic and patient management policies are examined and the results indicate that prenatal diagnosis should be offered to all women aged 35 years or more. The use of less conservative estimates would suggest that the service could be extended to younger women and still remain economically feasible.</p> <p>The final conclusion, based on medical economic and administrative considerations is that the existing prenatal diagnosis programs should be expanded to provide this service to all women aged 35 or over as soon as possible.</p>

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.296
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 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
Published2014
Admission routes1
Has abstractyes

Explore more

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