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Record W4416139243 · doi:10.1002/ppul.71372

New Treatments Are Urgently Needed for Patients With All Primary Ciliary Dyskinesia Genotypes

2025· article· en· W4416139243 on OpenAlexaff
Benjamin Gaston, Amjad Horani, Stephanie D. Davis, Thomas W. Ferkol, BreAnna Kinghorn, Margaret Rosenfeld, Adam J. Shapiro, Evans Machogu, Michael G. O’Connor, Harriet Holme, Michele Manion

Bibliographic record

VenuePediatric Pulmonology · 2025
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsMcGill University
Fundersnot available
KeywordsPrimary ciliary dyskinesiaRespiratory distressDiseaseBronchiectasisLungDyskinesiaRespiratory diseaseLung function

Abstract

fetched live from OpenAlex

We read with interest the letter from Pifferi et al. on lung function decline in patients with primary ciliary dyskinesia (PCD) [1]. We congratulate the authors on the good lung function trajectories achieved by many of their PCD patients. We look forward to hearing more about these therapeutic successes. As PCD providers, parents and patient advocates, however, we are concerned that this study as presented is being interpreted by those in industry who are considering the development of new therapeutic options to suggest that market opportunities among may not be robust among PCD patients with certain genotypes. That is to say, there is the thought among some colleagues in industry that investment in PCD therapies may not be needed or worthwhile. I think the authors would agree that this conclusion is incorrect. As the authors know, PCD patients with a range of genotypes have lung disease that can progress to respiratory failure [2, 3]. Even among those who do not progress to respiratory failure, patients are chronically affected by daily cough and mucus production; disabling bronchiectasis; disrupted work and sleep; recurring pneumonias; frequent exacerbations; and burdensome yet marginally effective treatment regimens [2, 4]. Additionally, the majority of newborns with PCD experience respiratory distress shortly after birth [2]. Some of those most severely affected during the newborn period may not survive to be included in longitudinal lung function analyses. And these are just the pulmonary symptoms. Head and neck symptoms are particularly devastating in childhood, and they progress into adulthood. Nonstop rhinorrhea is a daily burden, often accompanied by anosmia. Severe, chronic otitis media is common, with daily purulent otorrhea and hearing loss. Chronic sinusitis and sinus headaches are the norm [4]. Though patients with some genotypes may be less severely affected than others [1], there is variability within the same genotype. Importantly, patients with most PCD genotypes suffer from these daily consequences and are at risk for respiratory failure. Further, PCD appears to be substantially more common than was once thought [5]. Emerging data from large PCD registries are bearing out this unfortunate reality. We are confident that Pifferi and colleagues will agree that effective treatments are urgently needed for PCD patients with a broad range of different genotypes. Benjamin Gaston: conceptualization, project administration, resources, writing – original draft, writing – review and editing. Amjad Horani: conceptualization, writing – review and editing. Stephanie Davis: conceptualization. Thomas Ferkol: conceptualization, writing – review and editing. BreAnna Kinghorn: conceptualization. Margaret Rosenfeld: conceptualization, writing – review and editing. Adam Shapiro: conceptualization, writing – review and editing. Evans Machogu: conceptualization, writing – review and editing. Michael O'Connor: conceptualization, writing – review and editing. Harriet Holme: conceptualization, writing – review and editing. Michele Manion: conceptualization, writing – review and editing. The authors have nothing to report. The authors declare no conflicts of interest. Data sharing is not applicable to this article as no data sets were generated or analyzed during the current study.

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)0.000
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 score0.074
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.008
GPT teacher head0.270
Teacher spread0.262 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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