Metovix — Professional Meta-Analysis

📥 Data Input

Upload your CSV file (binary or continuous). Data type is auto-detected. Optional: add rob, grade, and subgroup columns for advanced analysis.

study_id, title, authors, year, journal, n_treatment, n_control, events_treatment, events_control, outcome_type, effect_measure, rob, grade, subgroup
effect_measure: OR / RR / RD | rob: Low / Some concerns / High / Unclear | grade: High / Moderate / Low / Very Low

study_id, title, authors, year, journal, outcome_type, effect_measure, n_treatment, n_control, mean_treatment, mean_control, sd_treatment, sd_control, rob, grade, subgroup
effect_measure: MD / SMD | outcome_type: Continuous | Use the Data Converter below to convert SE, CI, or IQR → SD

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Click to upload or drag & drop your CSV

Binary (OR/RR/RD) and Continuous (MD/SMD) outcomes supported — type is auto-detected

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Analysis Settings

Estimation Method

Effect Measure Override

CI Correction

Show Prediction Interval Continuity Correction (0.5) Use Peto OR (rare events)

🔄 Data Converter

Convert Median/IQR, SE, CI, or t-value → Mean & SD. Paste values directly from your source papers.

Median + IQR → Estimated Mean & SD (Wan 2014 / Luo 2018 method)

Median

Q1 (25th %ile)

Q3 (75th %ile)

Sample Size n

Estimated Mean

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Estimated SD

—

Reference

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Computing advanced meta-analysis...

REML estimation, heterogeneity, prediction intervals, trim-and-fill...

Study Results Table

Forest Plot with Prediction Interval

◉ = Study point estimate (size ∝ weight) ◆ = Pooled effect (diamond) ▬ = 95% Prediction Interval - - = Null line

Cumulative Meta-Analysis (by Year)

Sub-group Analysis

Leave-One-Out Sensitivity Analysis

Funnel Plot + Trim-and-Fill

White = observed | Orange = imputed (Trim-and-Fill)

P-curve Analysis

ROB Tool:

Meta-Regression (Continuous & Categorical Moderators)

📊 Categorical Moderator

Add a subgroup column to your CSV, or enter category labels below (comma-separated, one per study in order).

Moderator name

Category per study (comma-separated)

Trial Sequential Analysis

GOSH Plot — Influential Study Detection

Each dot = one subset meta-analysis. Outlier subsets (high I²) shown in red. Influential studies identified.

NNT / NNH — Number Needed to Treat / Harm

Baseline Risk (Control Event Rate)

20%

Slide to see NNT at different baseline risks

Preset Baseline Risks

Effect Measure

NNT Across Baseline Risks (1%–99%)

Per-Study NNT/NNH

Interpretation Guide

🎯 Influence Diagnostics — Cook's D, DFFITS, Baujat Plot

Baujat Plot — Q Contribution vs Influence

Galbraith Radial Plot

📊 Advanced Visualizations

L\u2019Abbé Plot — Control vs Treatment Event Rate

Each bubble = one study. Points above the diagonal line = treatment worse than control. Point size = study weight.

Contour-Enhanced Funnel Plot

Significance contours at p=0.05 (light), p=0.01 (medium), p=0.001 (dark). Studies outside the outer triangle may indicate publication bias or small-study effects.

Drapery Plot — P-value Function (Compatibility Intervals)

Shows compatibility intervals at all α levels simultaneously. The shaded region is compatible with the observed data. Bold line = pooled estimate; thin lines = individual studies.

PET-PEESE — Publication Bias Corrected Estimate

Additional Publication Bias Tests

🔬 Diagnostic Test Meta-Analysis (Sensitivity + Specificity)

CSV Format for diagnostic accuracy:
Required columns: study, tp, fp, fn, tn
tp=true positives, fp=false positives, fn=false negatives, tn=true negatives
Optional: threshold, design, reference_test

SROC / ROC Space Plot

Per-Study Results

Network Meta-Analysis (Frequentist — Rücker Graph-Theoretic)

⚙️ NMA Setup

CSV must have columns: study, treat1, treat2, y (log OR or MD), se. Or upload a separate NMA CSV below.

Reference treatment: Effect measure:

Or upload NMA CSV:

Upload data with treat1/treat2/y/se columns and click Run NMA

Dose-Response Meta-Analysis (Two-Stage Greenland-Longnecker)

⚙️ Setup

CSV must include columns: study, dose, y (log OR/RR/MD), se. Reference dose (dose=0) rows are automatically excluded from pooling.

Model: Pooling:

Or upload Dose-Response CSV:

Upload dose-response CSV and click Run Analysis

QUADAS-2 — Quality Assessment of Diagnostic Accuracy Studies

Rate each study across 4 risk-of-bias domains and 3 applicability concerns. Based on Whiting et al. (2011) — standard for diagnostic test accuracy reviews.

Run an analysis first to load studies, or add studies manually below.

Auto-Generated Results Paragraph

Click a section above to generate text...

PRISMA 2020 Flow Diagram

Enter your search/screening numbers to generate a PRISMA 2020-compliant flow diagram:

Records identified

Records screened

Full-text assessed

Studies included

PRISMA-Compliant Summary

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Preparing download...

Metovix

Professional meta-analysis tool. Upload your CSV to begin. Binary & continuous data supported.

⚗️ Effect Measures

Odds Ratio (OR) Risk Ratio (RR) Risk Difference (RD) Peto OR (rare events) Hazard Ratio (HR) Mean Difference (MD) SMD / Hedges' g Correlation r → z Prevalence (PFT) Incidence Rate Ratio

📊 Pooling & Heterogeneity

Fixed-Effect (IV) Random-Effects DL REML τ² Estimation Paule-Mandel τ² Mantel-Haenszel HKSJ Correction Prediction Interval I² with 95% CI Three-level Meta-analysis

📣 Publication Bias

Funnel Plot Contour-Enhanced Funnel Egger's Test Begg's Test Peters' Test Harbord's Test Macaskill's Test Trim-and-Fill Fail-safe N (Rosenthal/Orwin) P-curve PET-PEESE Correction Selection Model (Vevea-Hedges)

🎨 Visualizations

Forest Plot Cumulative Meta-analysis L'Abbé Plot Galbraith Radial Plot Baujat Plot GOSH Plot Drapery Plot NNT/NNH Curves Meta-Regression Bubble TSA Boundaries Network Plot (NMA) Dose-Response Curve

🔬 Quality & Advanced

Cochrane ROB 2.0 ROBINS-I (Obs. Studies) GRADE Profile QUADAS-2 (Diag. Acc.) PRISMA 2020 Diagram Influence Diagnostics (Cook's d) DFFITS Diagnostic Accuracy (Bivariate) Bayesian Meta-analysis Power Analysis

✨ New Features

Categorical Meta-Regression Network Meta-Analysis (NMA) Dose-Response Analysis QUADAS-2 Assessment Light / Dark Mode 17-File Export System Auto Report Generator Data Converter