Evidence map›Paper›PMID 40908849›Full record

Trial reportEuropean journal of oral sciences2025

Understanding the variation in salivary fluoride levels: A secondary trajectory-based analysis of trial data.

Line Staun Larsen, Vibeke Baelum, Eero Juhani Raittio

Abstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in European journal of oral sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Line Staun LarsenDepartment of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-4155-5884
Vibeke BaelumDepartment of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-2195-8053
Eero Juhani RaittioDepartment of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-9258-9355

Funding

Danish Dental Association's Research Committee (FORSKU) and Research Fund
6 · The paper itself

Abstract

This report presents the findings of a secondary analysis of the data from an RCT designed to compare salivary fluoride levels during 3 weeks of using 5000 or 1450-ppm fluoride toothpaste (n = 24/group). Following this trial phase, salivary fluoride monitoring continued for 2 weeks during which all 48 participants used 1450-ppm fluoride toothpaste in a wash-out phase. We investigated the temporal variability and longitudinal growth-based trajectories of salivary fluoride levels across study arms. During the trial phase, variability in the 5000-ppm arm exceeded that of the 1450-ppm arm. The best-fitting trajectories identified three clusters of participants following: low, medium or high salivary fluoride trajectories. Except for the 'high' cluster during the wash-out period, which featured only participants from the 5000-ppm trial arm, all clusters had participants from both trial arms. In conclusion, exploration of the variation and trajectories of salivary fluoride after 1450- and 5000-ppm fluoride toothpaste-use suggests non-constant responses to the initiation of and wash-out from the use of high-dosage fluoride toothpaste. This calls for the use of repeated period cross-over trial designs to investigate treatment effect heterogeneity. Reasons for and ways to minimize sources of individual variation in salivary fluoride levels are discussed.

Indexed as

Cariostatic AgentsFluoridesSalivaToothpastesAdultFemaleHumansMaleCariostatic AgentsFluoridesToothpastesbiological variationfluorideshumanspopulationsalivatopical

Identifiers

PMID40908849
PMCPMC12628113

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.