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Record W2411883215

Life Expectancy of People with Fetal Alcohol Syndrome.

2016· article· en· W2411883215 on OpenAlexaboutno aff
Nguyễn Xuân Thành, Egon Jonsson

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyMedicinePopulationFetal alcohol syndromeDemographyCause of deathYears of potential life lostExpectancy theoryPediatricsGerontologyEnvironmental healthPsychologyDiseasePregnancyInternal medicineBiology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: To estimate the life expectancy and specify the causes of death among people with fetal alcohol syndrome (FAS). METHODS: Included were all patients recorded in Alberta provincial databases of inpatients, outpatients, or practitioner claims from 2003 to 2012. People with FAS were identified by ICD-9 code 760.71 and ICD-10 codes Q86.0 and P04.3, and were linked to the Vital Statistics Death Registry to get information about mortality. Life expectancy was estimated by using the life table template developed in the United Kingdom, which is recommended for estimating life expectancy in small areas or populations. RESULTS: The life expectancy at birth of people with FAS was 34 years (95% confidence interval: 31 to 37 years), which was about 42% of that of the general population. The leading causes of death for people with FAS were "external causes" (44%), which include suicide (15%), accidents (14%), poisoning by illegal drugs or alcohol (7%), and other external causes (7%). Other common causes of death were diseases of the nervous and respiratory systems (8% each), diseases of the digestive system (7%), congenital malformations (7%), mental and behavioural disorders (4%), and diseases of the circulatory system (4%). CONCLUSION: The life expectancy of people with FAS is considerably lower than that of the general population. As the cause of FAS is known and preventable, more attention devoted to the prevention of FAS is urgently needed.

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)0.000
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 score0.131
Threshold uncertainty score0.307

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 studies0.0000.000
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 head0.014
GPT teacher head0.211
Teacher spread0.198 · 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 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

Citations44
Published2016
Admission routes1
Has abstractyes

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