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The Evidence Layer for Scientific AI

Ask questions across claims linked to experiments, exact results, limitations, and sources.Know what the science actually supports before you trust the answer.

Press Enter ↵ to search evidence


     Quick Explanation



    Your evidence statement (“Best Evidence: Bidirectional insomnia anxiety depression post-2011 cohort update”) does not include any study identifiers (authors/year), cohorts, effect sizes, outcome definitions, or source links—so I cannot truthfully evaluate strength, directionality, causality, or “best” status without the underlying papers/data.

    If you share the cited paper(s) or links, I can meta-critique them (biases, confounding, measurement models, temporal ordering) with fully inline DOI/URL citations.


     Long Explanation



    Evidence Battle-Test (What’s Missing → What I Can’t Verify)

    The phrase “Bidirectional insomnia anxiety depression post-2011 cohort update” is not an evidence bundle. It does not specify:
    • Which cohort study(s) (names, years, countries, sample sizes)
    • Which insomnia, anxiety, and depression instruments/diagnostic criteria
    • Whether outcomes were self-report, clinical diagnosis, actigraphy, etc.
    • How bidirectionality was tested (cross-lagged models? cross-sectional + regression? Granger-like approaches? SEM? mediation?)
    • What “post-2011 cohort update” means (what exact time window, which publications included)
    • Any effect sizes, confidence intervals, p-values, or model fit
    Therefore, I cannot responsibly claim that the evidence is “best,” nor can I evaluate causality, temporal precedence, or robustness.

    Fast Evidence Checklist (to qualify as “best evidence”)

    To justify “best evidence” for bidirectional insomnia ↔ anxiety/depression, the underlying papers/data should include at least:
    1. Longitudinal design with explicit time ordering (not just contemporaneous association).
    2. Validated measurement for all three constructs (or transparent harmonization).
    3. Statistical approach that is appropriate for directionality (and reports sensitivity analyses).
    4. Confounding handling (baseline mental health, socioeconomic variables, health status proxies, medication use if relevant, etc.).
    5. Model assumptions and limitations stated clearly (missingness, stability, reverse causation threats).
    6. Reproducibility indicators: multiple cohorts, pre-registered analysis if available, robustness/sensitivity.
    None of these can be checked from the current “evidence” text.

    What I need from you (or from BGPT search) to proceed

    Please provide at least one of the following:
    • DOI(s) or links to the “post-2011 cohort update” papers you mean
    • The cohort name(s) and paper title(s)
    • Any extracted effect sizes / tables (even screenshots/text)
    Once I have sources, I will build:
    • A directionality map (insomnia→anxiety, anxiety→insomnia, insomnia→depression, depression→insomnia)
    • A bias/sensitivity audit table (measurement, confounding, missingness, modeling choices)
    • A strength-of-evidence ranking (study design + size + consistency + limitations)
    No interventions or treatment recommendations will be made.

    Run the Science Agent (to fetch & critique the actual papers/data)

    Since the provided “best evidence” text lacks sources, the fastest way to complete this properly is to let the agent search BGPT’s full-text dataset, extract cohort characteristics and directionality model outputs, and then run a rigorous bias/sensitivity critique.


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    Updated: April 28, 2026

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