Bayesian Causal Atlas · Vol. Dentistry · Pearl Structural Causal Model

Dental Caries — Structural Causal Analysis

Untreated caries of permanent teeth is the single most prevalent condition on Earth (~2.24 billion people), and oral conditions together affect ~3.7 billion. This oracle estimates the causal reduction in caries increment across topical-fluoride, public-health, barrier, arrest and dietary options, distinguishing agents that shift the mineral balance from those that remove the sugar substrate or physically seal the tooth. Prevented fractions are from Cochrane reviews. For education, not individual dental advice.

Method. Structural Causal Model (SCM) with backdoor adjustment (Pearl). Interventions are not assumed independent: the topical-fluoride agents share the remineralisation pathway, so their overlap is removed by an eigenvalue-corrected equicorrelation model at an adjustable mean cross-correlation ρ̄ (default 0.30). Sealants (barrier) and sugar reduction (substrate) are separated as mineral-balance-independent paths. Robustness to unmeasured confounding is quantified with the E-value. PN / PS / PNS under monotonicity. Every relative risk is cited — no effect size is invented. The front door is resolved through an EXPLICIT mediator cascade (cariogenic → remineralisation → physical barrier → lesion arrest → disease state), not one lumped node: each intervention acts on a specific node, so same-node interventions are substitutes that saturate against each other, while different-node interventions are d-separated given the intermediate node and compose in series. The cross-correlation removal thus follows from the graph structure; the residual ρ̄ cleans up only the mediator-independent (direct) effects.
ρ̄ = 0.30
A–D (all)
A high (RCT/meta) · B cohort · C case-series/modelled · D consensus/provisional. Lower-grade interventions are excluded from the DAG, front-door pooling, Pareto, Monte‑Carlo & sensitivity.

Interventions

Tick the interventions to combine. Each shows its trial effect estimate, 95% confidence interval (CI), E-value, mechanism, and citation. ★ = in the current Pareto effective set but not yet ticked.

Combined causal estimate

Headline is the front-door estimate: shared demin overlap removed via dose-response saturation; residual direct-effect overlap removed via the eigenvalue model at ρ̄.

1.00
Combined RR
0%
Relative risk ↓
Pooled E-value
Interventions selected (k)
0
Effective independent dimensions (n_eff)
0
Redundancy discount applied
0%
Baseline risk (illustrative anchor)
Absolute risk after intervention
Absolute risk difference (RD)
Backdoor-only RR (no front-door)
Remineralisation-pathway overlap removed
Number needed to treat (NNT)
ρ-sensitivity band (ρ 0 → 0.6)
Interpretation

Causal attribution

Under monotonicity + exogeneity (E-value bounds the exogeneity assumption).

Probability of Necessity (PN)
Probability of Sufficiency (PS)
Prob. of Necessity & Sufficiency (PNS, lower bound)
Causal DAG
Cross-correlation
Pareto (threshold)
Monte Carlo
Front-door mediation
What-if / If-not-for
Sensitivity
Antithesis

Faithful causal directed acyclic graph (DAG). Fluoride agents act through the shared mediator de-/re-mineralisation balance, which governs lesion formation and thence caries increment (Y). Sealants (physical barrier) and sugar reduction (substrate removal) act independently of the mineral balance. Named confounders — sugar frequency, salivary flow, access — open back-door paths (adjusted). Mediator cascade: interventions attach to the node they act on (cariogenic → remineralisation → physical barrier → lesion arrest), which converge on the disease state and thence the endpoint — drawing the intermediate mediators explicitly is what exposes d-separation and per-channel saturation.

Confounders U:dietary sugar frequency · salivary flow · socioeconomic access · baseline caries risk · oral-hygiene behaviour · age / dentition → back-door paths (adjusted)Fluoride toothpaste(≥1000 ppm)Fluoride varnish(professional)Fluoride mouthrinseCommunity waterfluoridationPit-and-fissuresealantsSilver diaminefluoride (SDF)Sugar / dietaryreductionXylitolProfessional cleaning/ oral hygieneCariogenicsubstrate (sugar)Remineralisation(fluoride)Physical barrier/ biofilmLesion arrestCaries(cavitation)Tooth loss /burdenFront-door: through the mineral balance (remineralisation)Mediator-independent (barrier / substrate removal)Back-door confounding (adjusted)

Eigenvalue diagnostics for the selected interventions under an equicorrelation matrix (off-diagonal ρ̄). A large λmax relative to k signals redundancy; n_eff is the effective number of independent interventions actually contributing.

k (selected)
0
λmax
λmin
n_eff = (Σλ)² / Σλ²
Condition number

On mechanistic grounds ρ̄ ≈ 0.30 is defensible: the topical-fluoride agents (toothpaste, rinse, varnish, water) all act through remineralisation, so combining them is partly redundant — their prevented fractions do NOT simply add. ρ̄ is user-adjustable because a physical sealant and a dietary sugar cut share no mechanism with fluoride. Most of the overlap is now handled structurally by the mediator nodes (same-node substitutes saturate); ρ̄ governs only the residual correlation among direct effects.

Minimum-effective-set analysis. Set a target combined risk reduction; the model finds the smallest set of interventions — accounting for front-door mediator overlap — that reaches it, and highlights them. If the target exceeds what all interventions together can achieve, the full set is shown (never an empty one). "Apply" ticks exactly that set.

Target combined risk ↓ ≥ 50%

Monte Carlo propagation. Each selected intervention's log-effect is sampled from a normal distribution implied by its 95% CI; samples are combined with the same eigenvalue overlap discount. 5,000 draws.

Median combined RR
95% simulation interval
Standard deviation of combined RR
P(combined RR < 0.90)

Antithesis — challenging this oracle's own conclusions

Fluoride treats the mineral balance, not the cause. The upstream driver of caries is dietary free sugar; fluoride shifts remineralisation but leaves the sugar substrate untouched. A model that stacks fluoride agents while ignoring sugar reduction addresses the mediator, not the confounder — which is why sugar reduction carries a gold, mineral-balance-independent arrow.
Silver diamine fluoride’s evidence is uncertain. Despite large prevented-fraction point estimates, the 2024 Cochrane review concluded it could not tell whether SDF is better than no treatment or other agents, and SDF stains lesions black. Its strong-looking number is flagged provisional, not settled.
The global burden is an access problem. Untreated caries affects ~2.24 billion people — the most prevalent condition on Earth — concentrated where fluoride, sealants and dental care are unavailable. The largest real-world lever is access and sugar policy, not choosing among efficacious agents most people never receive.
Fluoride is non-monotonic. More fluoride is not strictly better: excess systemic exposure in early childhood causes dental (and, at extremes, skeletal) fluorosis. Like several mediators in this atlas, the dose-response has a harmful upper arm, so over-stacking is not free.
Prevented fractions come from heterogeneous trials. The Cochrane prevented fractions pool trials with differing baseline risk, sugar exposure, and concurrent fluoride, and are not strictly additive across agents — combining a toothpaste, rinse and varnish does not multiply their individual fractions.

What-if — the do-operator: P(Y | do(S))

Intervening on the selected set S with Pearl's do-operator (setting the interventions, not merely observing them). Contrast against do(∅) = no intervention.

P(outcome | do(∅)) — baseline
P(outcome | do(S)) — intervened
Absolute risk reduction (ARR)
Number needed to treat (NNT)

If-not-for — but-for counterfactual (leave-one-out)

For each intervention: "if not for this one, the combined front-door effect would be…". Isolates each intervention's marginal causal contribution after mediator-overlap removal, so shared-pathway agents are not double-credited.

If not for…RR without itRR with full setmarginal RRR lost

One-at-a-time sensitivity. Each intervention's effect is swung across its 95% confidence interval (others held at point estimate); the bar is the resulting swing in the combined front-door effect. A long bar means the combined estimate leans heavily on that single trial's precision.

Optimistic bound (all at CI-low)
Point estimate
Pessimistic bound (all at CI-high)
Pooled E-value (confounding robustness)

Front-door (mediation) decomposition. The fluoride agents act through one shared mediator — the mineral balance. Each log-effect is split into a remineralisation-mediated (indirect) and a direct part. Indirect parts are pooled through the mediator with dose-response saturation, removing the mediator cross-correlation; direct parts keep the residual eigenvalue correlation at ρ̄. Sealants (barrier) and sugar reduction (substrate), which act off the mineral balance, are NOT discounted against the fluoride agents. Here mediated effects are pooled WITHIN each cascade node (dose-response saturation of substitutes) and composed in SERIES across nodes (d-separated channels), with the per-node reductions reported so the channel structure is visible.

Mediator saturation cap = 55% demineralisation control
Sum of standalone demin reduction (naive)
Combined demin reduction after saturation
Mediator overlap removed (1 - saturation)
Direct-effect redundancy removed (1 - n_eff/k)
Front-door combined RR
Backdoor-only combined RR (comparison)
InterventionRR%reminmed-fracindirect logdirect log

Which % of cross-correlation is appropriate? Not one number. The mediator overlap is fixed empirically by the demin saturation (currently removing of the summed mediated effect when interventions are stacked). Note a domain caveat: the fluoride agents are mutually redundant (shared remineralisation), whereas sealants and sugar reduction add distinct mechanisms. Remineralisation-mediated fractions are transparent, adjustable priors from Cochrane prevented fractions.

Front-door caveat (antithesis): fluoride treats the mineral balance, not the sugar cause; SDF’s strong number is Cochrane-uncertain and stains teeth; the global burden is largely an access problem; and fluoride is non-monotonic (fluorosis at excess). Prevented fractions are not strictly additive.

Executive summary

Select interventions to generate a plain-language summary.