Evidence map›Paper›PMID 39660862›Full record

ArticlemSphere2025

Advancing dental biofilm models: the integral role of pH in predicting

Jay S Sangha, Valentina Gogulancea, Thomas P Curtis, Nicholas S Jakubovics, Paul Barrett, Aline Metris, Irina D Ofiţeru

Abstract read
In one paragraph

Article in mSphere, 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. Article
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

7 authors.

Jay S Sangha *School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Valentina Gogulancea *School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Thomas P CurtisSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Nicholas S JakubovicsFaculty of Medical Sciences, Newcastle University, School of Dental Sciences, Newcastle upon Tyne, United Kingdom.ORCID 0000-0001-6667-0515
Paul BarrettSafety and Environmental Assurance Centre, Unilever, Bedfordshire, United Kingdom.
Aline MetrisSafety and Environmental Assurance Centre, Unilever, Bedfordshire, United Kingdom.
Irina D OfiţeruSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-1492-3709

Funding

UKRI | Engineering and Physical Sciences Research Council (EPSRC) EP/R51309X/1
6 · The paper itself

Abstract

Mathematical models can provide insights into complex interactions and dynamics within microbial communities to complement and extend experimental laboratory approaches. For dental biofilms, they can give a basis for evaluating biofilm growth or the transition from health to disease. We have developed mathematical models to simulate the transition toward a cariogenic microbial biofilm, modeled as the overgrowth of

Indexed as

BiofilmsModels, BiologicalStreptococcus mutansCulture MediaGlucoseHumansHydrogen-Ion ConcentrationLactic AcidModels, TheoreticalCulture MediaGlucoseLactic Acidbiofilm dynamicsdental plaquehydroxyapatite couponsindividual-based modelingStreptococcus mutans

Identifiers

PMID39660862
PMCPMC11774048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.