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Record W3006746192 · doi:10.1080/22423982.2020.1731059

Adult outcomes of childhood bronchiectasis

2020· article· en· W3006746192 on OpenAlexaboutno aff
D Sibanda, Rosalyn Singleton, John Clark, Christine Desnoyers, Ellen Hodges, Gretchen Day, Gregory Redding

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsBronchiectasisMedicinePediatricsYoung adultIntensive care medicineLungGerontologyInternal medicine

Abstract

fetched live from OpenAlex

Recent literature has highlighted the importance of transition from paediatric to adult care for children with chronic conditions. Non-cystic fibrosis bronchiectasis is an important cause of respiratory morbidity in low-income countries and in indigenous children from affluent countries; however, there is little information about adult outcomes of childhood bronchiectasis. We reviewed the clinical course of 31 Alaska Native adults 20-40 years of age from Alaska's Yukon Kuskokwim Delta with childhood bronchiectasis. In patients with chronic suppurative lung disease, a diagnosis of bronchiectasis was made at a median age of 4.5 years by computerised tomography (68%), bronchogram (26%), and radiographs (6%). The patients had a median of 75 lifetime respiratory ambulatory visits and 4.5 hospitalisations. As children, 6 (19%) experienced developmental delay; as adults 9 (29%) experienced mental illness or handicap. Four (13%) patients were deceased, four (13%) had severe pulmonary impairment in adulthood, 17 (54%) had persistent or intermittent respiratory symptoms, and seven (23%) were asymptomatic. In adulthood, only five were seen by adult pulmonologists and most had no documentation of a bronchiectasis diagnosis. Lack of provider continuity, remote location and co-morbidities can contribute to increased adult morbidity. Improving the transition to adult care starting in adolescence and educating adult providers may improve care of adults with childhood bronchiectasis.

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)0.001
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 score0.255
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.433
Teacher spread0.377 · 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

Citations17
Published2020
Admission routes1
Has abstractyes

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