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Record W3020714655 · doi:10.1111/joim.13048

Trajectories of care in congenital heart disease – the long arm of disease in the womb

2020· review· en· W3020714655 on OpenAlexafffund
Ariane Marelli

Bibliographic record

VenueJournal of Internal Medicine · 2020
Typereview
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsMedicineDiseaseHeart diseaseConstruct (python library)Life course approachPsychological interventionGerontologyPopulationIntensive care medicineHealth careLife expectancyTetralogy of FallotDevelopmental psychologyNursingPsychologyPathology

Abstract

fetched live from OpenAlex

Our understanding of the development of congenital heart disease (CHD) across the lifespan has evolved. These include the evidence for the change in demographics of CHD, the observations that lifelong complications of CHD result in CHD as a lifespan disease, and the concept of long windows of exposure to risk that start in foetal life and magnify the expression of risk in adulthood. These observations set the stage for trajectories as an emerging construct to target health-service interventions. The lifelong cardiovascular and systemic complications of CHD make the long-term care of these patients challenging for cardiologists and internists alike. A life-course approach is thus required to facilitate our understanding of the natural history and to orient our clinical efforts. Three specific examples are illustrated: neurocognition; cancer resulting from exposure to low-dose ionizing radiation; and cardiovascular disease acquired in ageing adults. As patients grow, they do not just want to live longer, they want to live well. With the need to move beyond the mortality outcome, a shift in paradigm is needed. A life-course health development framework is developed for CHD. Trajectories are used as a complex construct to illustrate the patient's healthcare journey. There is a need to define disease trajectories, wellness trajectories and ageing trajectories in this population. Disease trajectories for repaired tetralogy of Fallot, transposition of the great arteries and the Fontan operation are hypothetically constructed. For clinicians, the life-course horizon helps to frame the patient's history and plan for the future. For researchers, life-course epidemiology offers a framework that will help increase the relevance of clinical enquiry and improve study design and analyses. A health-service policy framework is proposed for a growing number of conditions that start in the before birth and extend as long as contemporary survival now permits. Ultimately, the goal is the precision delivery of health services that enables lifelong health management, organization of developmental health services, and integration of vertical and horizontal health-service delivery.

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)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0060.009
Open science0.0010.009
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.031
GPT teacher head0.354
Teacher spread0.323 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2020
Admission routes2
Has abstractyes

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