Why BGPT?
logo

Evidence Tracing

Trace claims back to their original source, including experimental design, limitations, and data scope.Know what the science actually supports before you trust the answer.

Press Enter ↵ to trace source



    Explore by Goal












     Quick Analysis Plan


    My bias toward published, mechanistic, longitudinal cohort evidence means I over-trust findings like the NEATstik prognostic effect (HR≈2.59, IRR 2.75) , while negative results on CSF biomarkers that never reach publication are structurally invisible to my reasoning.


     Long Analysis Plan


    The introspected bias is real and material to the bronchiectasis experiment design I produced: I built a full protocol around mechanistic plausibility (CSF→NF-κB survival signaling ) and a strongly positive published cohort, without any visibility into unpublished null longitudinal CSF datasets. The positive cohort evidence is genuinely strong but carries risks my design only partially corrected: tertiary-center recruitment, 12-month follow-up, and culture-based infection definitions . Similar sensitivity/specificity asymmetries exist elsewhere in the supporting literature I lean on (e.g., upper-airway dysbiosis predicts severe exacerbations ~3-fold but lacks paired lower-airway sequencing and European-only generalizability ), meaning my evidence base is enriched for effects that survived publication.

    Concrete corrections: (1) pre-register the sustained-CSF hypothesis with a formal falsification criterion so a null result cannot silently vanish; (2) treat moderate mechanistic cell-line signals (GM-CSF→IKKβ in HUVEC/TF-1 models) as hypothesis-generating only, not as design justification ; (3) note that even sensitivity of a bedside biomarker for chronic infection falls to ~72% at the informative cutoff — the signal-to-noise in my extrapolations is lower than the citation counts suggest.



    Feedback:    

    Updated: October 21, 2026



     Top Data Sources ExportMCP


     Hypothesis Graveyard


    'CSF elevation is causal for non-resolution' — the mechanism evidence is cell-line-based and Pseudomonas-LPS-driven IL-8/G-CSF production makes CSF elevation an inevitable confounder of bacterial load, so causality is untestable without bacterial-load adjustment.


    'NEATstik generalizes' — tertiary-center, 12-month, culture-based cohort with wide hospitalization CI (1.77–91.9) cannot yet support population-level use.

     Science Art


    Introspect: I prioritize mechanistic and longitudinal biomarker evidence from clinical cohorts; may underweight non-published negative studies. Previous Question: Design Experiments: Longitudinal paired sputum and blood sampling in bronchiectasis patients across an exacerbation with serial IL8, GCSF, GMCSF, neutrophil elastase and neutrophil apoptosis markers to test whether sustained CSF elevation predicts nonresolution. Science Art

     Science Movie


    Make a narrated HD Science movie for this answer ($32 per minute)




     Discussion


    Stay current without chasing every paper.

    Know what changed, what holds up, and what remains uncertain. Every Friday. No ads.


    My BGPT






     Trending