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Record W2753016674 · doi:10.1183/20734735.008517

Diagnosis of primary ciliary dyskinesia: summary of the ERS Task Force report

2017· article· en· W2753016674 on OpenAlexfundno aff
Claudia E. Kuehni, Jane S. Lucas

Bibliographic record

VenueBreathe · 2017
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
FundersMedizinische Universität GrazHospital for Sick ChildrenAAIR CharityRigshospitaletSapienza Università di RomaUniversité Paris-SudUniversity of TorontoUniversità degli Studi di PadovaImperial College LondonKarl-Franzens-Universität GrazUniversity of LeicesterSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of SouthamptonGentofte HospitalInstitut National de la Santé et de la Recherche MédicaleNational Institute for Health and Care ResearchResearch for Patient Benefit ProgrammeUniverzita Karlova v PrazeInselspital, Universitätsspital BernUniversity Hospital Southampton NHS Foundation TrustWellcome TrustUniversity of North Carolina at Chapel HillUniversity of Bern
KeywordsPrimary ciliary dyskinesiaMedicineKartagener SyndromeGold standard (test)CiliumDiseaseDiagnostic testReferralPediatricsIntensive care medicinePrimary carePathologyBronchiectasisInternal medicineLungFamily medicineBiology

Abstract

fetched live from OpenAlex

KEY POINTS: Primary ciliary dyskinesia (PCD) is a genetically and clinically heterogeneous disease characterised by abnormal motile ciliary function.There is no "gold standard" diagnostic test for PCD.The European Respiratory Society (ERS) Task Force Guidelines for diagnosing PCD recommend that patients should be referred for diagnostic testing if they have several of the following features: persistent wet cough; situs anomalies; congenital cardiac defects; persistent rhinitis; chronic middle ear disease with or without hearing loss; or a history, in term infants, of neonatal upper and lower respiratory symptoms or neonatal intensive care admission.The ERS Task Force recommends that patients should be investigated in a specialist PCD centre with access to a range of complementary tests: nasal nitric oxide, high-speed video microscopy analysis and transmission electron microscopy. Additional tests including immunofluorescence labelling of ciliary proteins and genetic testing may also help determine the diagnosis. EDUCATIONAL AIMS: those who identify patients for testing, and those involved in diagnosing and managing PCD patients. It aims: to inform readers about the new European Respiratory Society Task Force Guidelines for diagnosing patients with PCDto enable primary and secondary care physicians to: identify patients who need diagnostic testing; understand the diagnostic tests that their patients will undergo, the results of the tests and their limitations; and ensure that appropriate care is subsequently delivered.

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)0.002
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 score0.047
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.018
GPT teacher head0.300
Teacher spread0.282 · 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

Citations71
Published2017
Admission routes1
Has abstractyes

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