Multivariable prediction models of caries increment: a systematic review and critical appraisal.

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Sökning: onr:"swepub:oai:DiVA.org:mau-63663" > Multivariable predi...

1 av 1
Föregående post
Nästa post
Till träfflistan

Havsed, KristianMalmö University,Jönköping University,Malmö universitet,Odontologiska fakulteten (OD),Department of Pediatric Dentistry, Institute for Postgraduate Dental Education, Jönköping, Sweden; Centre for Oral Health, School of Health and Welfare, Jönköping University, Jönköping, Sweden,HHJ, Avdelningen för odontologi och oral hälsa (författare)

Multivariable prediction models of caries increment : a systematic review and critical appraisal.

Artikel/kapitelEngelska2023

Förlag, utgivningsår, omfång ...

BioMed Central (BMC),2023
electronicrdacarrier

Nummerbeteckningar

LIBRIS-ID:oai:DiVA.org:mau-63663
https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-63663URI
https://doi.org/10.1186/s13643-023-02298-yDOI
https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-62847URI
https://lup.lub.lu.se/record/be7c8196-cd50-46fe-a09f-92e2141660b6URI

Kompletterande språkuppgifter

Språk:engelska
Sammanfattning på:engelska

Ingår i deldatabas

SwePubSwePub

Klassifikation

Ämneskategori:ref swepub-contenttype
Ämneskategori:art swepub-publicationtype

Anmärkningar

BACKGROUND: Multivariable prediction models are used in oral health care to identify individuals with an increased likelihood of caries increment. The outcomes of the models should help to manage individualized interventions and to determine the periodicity of service. The objective was to review and critically appraise studies of multivariable prediction models of caries increment.METHODS: Longitudinal studies that developed or validated prediction models of caries and expressed caries increment as a function of at least three predictors were included. PubMed, Cochrane Library, and Web of Science supplemented with reference lists of included studies were searched. Two reviewers independently extracted data using CHARMS (Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies) and assessed risk of bias and concern regarding applicability using PROBAST (Prediction model Risk Of Bias ASessment Tool). Predictors were analysed and model performance was recalculated as estimated positive (LR +) and negative likelihood ratios (LR -) based on sensitivity and specificity presented in the studies included.RESULTS: Among the 765 reports identified, 21 studies providing 66 prediction models fulfilled the inclusion criteria. Over 150 candidate predictors were considered, and 31 predictors remained in studies of final developmental models: caries experience, mutans streptococci in saliva, fluoride supplements, and visible dental plaque being the most common predictors. Predictive performances varied, providing LR + and LR - ranges of 0.78-10.3 and 0.0-1.1, respectively. Only four models of coronal caries and one root caries model scored LR + values of at least 5. All studies were assessed as having high risk of bias, generally due to insufficient number of outcomes in relation to candidate predictors and considerable uncertainty regarding predictor thresholds and measurements. Concern regarding applicability was low overall.CONCLUSIONS: The review calls attention to several methodological deficiencies and the significant heterogeneity observed across the studies ruled out meta-analyses. Flawed or distorted study estimates lead to uncertainty about the prediction, which limits the models' usefulness in clinical decision-making. The modest performance of most models implies that alternative predictors should be considered, such as bacteria with acid tolerant properties.TRIAL REGISTRATION: PROSPERO CRD#152,467 April 28, 2020.

Ämnesord och genrebeteckningar

MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Odontologi hsv//swe
MEDICAL AND HEALTH SCIENCES Clinical Medicine Dentistry hsv//eng
CHARMS
Dental caries
Likelihood ratio
PROBAST
Prediction models
CHARMS
Dental caries
Likelihood ratio
Prediction models
PROBAST

Biuppslag (personer, institutioner, konferenser, titlar ...)

Hänsel Petersson, GunnelMalmö University,Malmö universitet,Odontologiska fakulteten (OD),Faculty of Odontology, Malmö University, Malmö, Sweden(Swepub:mau)odguha (författare)
Isberg, Per ErikLund University,Lunds universitet,Statistiska institutionen,Ekonomihögskolan,Department of Statistics,Lund University School of Economics and Management, LUSEM(Swepub:lu)stat-pis (författare)
Pigg, MariaMalmö University,Malmö universitet,Odontologiska fakulteten (OD),Foresight,Faculty of Odontology, Malmö University, Malmö, Sweden(Swepub:mau)odmapi (författare)
Svensäter, Gunnel,1954-Malmö University,Malmö universitet,Odontologiska fakulteten (OD),Faculty of Odontology, Malmö University, Malmö, Sweden(Swepub:mau)odgusv (författare)
Rohlin, MadeleineMalmö University,Malmö universitet,Odontologiska fakulteten (OD),Faculty of Odontology, Malmö University, Malmö, Sweden(Swepub:mau)odmaro (författare)
Malmö universitetOdontologiska fakulteten (OD) (creator_code:org_t)

Sammanhörande titlar

Ingår i:Systematic Reviews: BioMed Central (BMC)12:12046-4053

Internetlänk

Hitta via bibliotek

Systematic Reviews (Sök värdpublikationen i LIBRIS)

Till lärosätets databas

1 av 1
Föregående post
Nästa post
Till träfflistan

Hitta mer i SwePub

Av författaren/redakt...: Havsed, Kristian; Hänsel Petersson ...; Isberg, Per Erik; Pigg, Maria; Svensäter, Gunne ...; Rohlin, Madelein ...

Om ämnet

MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Odontologi

Artiklar i publikationen: Systematic Revie ...

Av lärosätet: Malmö universitet; Jönköping University; Lunds universitet

Sök utanför SwePub

Sök vidare i:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se