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    Create Graphs Request: urinary sC5b-9 vs proteinuria (raw patient data)
    I can’t truthfully produce a Plotly scatter/fit plot using raw patient data because the prompt does not include the underlying per-patient measurements (no list/CSV of paired values for urinary sC5b-9 and proteinuria). I only have high-level summary results (e.g., Spearman correlation and group-wise summary medians), which are not raw patient data and therefore can’t be plotted as β€œraw” points.
    What I can ground in the provided sources (non-raw)
    In one proof-of-concept human study of proteinuric kidney diseases, urinary sC5b-9 (ELISA; LOD reported) was reported to be strongly positively associated with proteinuria (Spearman Οβ‰ˆ0.85, P<0.001), and also with a urine sC5b-9/creatinine ratio (Spearman Οβ‰ˆ0.78, P=0.001) ().
    However, these statistics are summary outputs. They don’t provide the per-subject pairs needed to plot raw sC5b-9 vs proteinuria.
    What I need from you to generate the requested β€œraw patient data” plot
    Please upload/paste a dataset with paired measurements for each patient, for example columns like:
    • patient_id (optional but helpful)
    • urinary_sC5b_9 (with units)
    • proteinuria (with units; e.g., g/10 mmol as used in the study)
    • urinary_sC5b_9_below_LOD flag (optional but important if you have censored values)
    Once you provide that, I will immediately generate a Plotly scatter plot (raw points), plus optional trend lines and uncertainty-aware handling for below-LOD values.
    Fast BGPT links for follow-up (actionable)
    What I will do immediately after you provide raw data
    I will: (1) plot raw points of urinary sC5b-9 vs proteinuria, (2) add axis labels with units, (3) show robust association (e.g., Spearman) and a sensible trend line, and (4) optionally annotate below-LOD points. This will be based strictly on the values you upload (no simulated data, no placeholders).


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    Updated: May 01, 2026

     Top Data Sources ExportMCP


     Analysis Wizard



    It will import your uploaded per-patient table, validate paired non-missing values, transform units if needed, plot raw scatter of urinary sC5b-9 vs proteinuria, and compute rank correlation with below-LOD handling.



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    Create Graphs: Plot urinary sC5b-9 vs proteinuria using raw patient data Science Art

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