Index of Caries Experience - A Composite System for Recording Dental Caries.

Sreevidya Bhat, Meghashyam Bhat
Author Information
  1. Sreevidya Bhat: Department of Public Health Dentistry, Srinivas Institute of Dental Sciences, Mangalore, Karnataka, India.
  2. Meghashyam Bhat: Department of Public Health, Faculty of Health and Medical Sciences, Adelaide Dental School, The University of Adelaide, Australia.

Abstract

INTRODUCTION: Measurement of dental caries is imperative for its prevention and control. The present study was conducted with the aim of developing a dental caries index that is reliable, reversible, and valid. A cross-sectional study was designed and conducted at the outreach dental clinics of a dental school in India.
METHODS AND MATERIAL: A total of 219 patients visiting outreach centres participated in the study. Patients attending outreach dental clinics aged 15 years and above, who were dentate and affected by dental caries, were included. Clinical examination was done under clinical conditions with dental chair lighting. Decayed Missing and Filled Teeth (DMFT) and Index of Caries Experience (ICE) were recorded using the visuo-tactile method according to the index criteria.
RESULTS: The relationship between the DMFT and ICE was determined. Results showed that the DMFT from ICE had good correlation. The decayed teeth index (DTI) score varied from decayed teeth (DT) according to age and sex. DTI was significantly higher for females than for males and higher among younger age groups than older ones, but DT did not exhibit the differences.
CONCLUSIONS: ICE is a new system in which the proviso is to measure the non-cavitated lesions and health of permanent dentition. DMFT and ICE have good correlation. DTI is more sensitive than the DT score.

References

  1. Morelli MG The introduction of quantitative caries-index for teeth. Dent Cosmos 1924; 66: 1068���75.
  2. Klein H, Palmer CE, Knutson JW Studies on dental caries: I. Dental status and dental needs of elementary school children. Public Health Rep 1938; 53: 751���65.
  3. Bodecker CF The modified dental caries index. J Am Dent Assoc 1939; 26: 1453���60.
  4. Burt BA, Eklund SA Measuring dental caries Burt BA, Eklund SA Dentistry, Dental Practice and the Community. Missouri, USA Elsevier Saunders 2005 195.
  5. Castro ALS, Vianna MIP, Mendes CMC The knowledge and use of population-based methods for caries detection. BMC Oral Health 2018; 18: 153.
  6. Sandler HC Relationship between two kinds of measurements of dental caries. J Dent Res 1940; 19: 545���8.
  7. Tank G, Storvick CA Effect of naturally occurring selenium and vanadium on dental caries. J Dent Res 1960; 39: 473���88.
  8. Stones H, Lawton F, Bransby E, Hartley H The effect of topical applications of potassium fluoride and of the ingestion of tablets containing sodium fluoride on the incidence of dental caries. Br Dent J 1949; 86: 263���71.
  9. Richardson A A caries susceptibility index, and its application in a preliminary comparison of British and Ghanian teeth. Br Dent J 1961; 111: 107���11.
  10. Anaise JZ Measurement of dental caries experience-modification of the DMFT index. Community Dent Oral Epidemiol 1984; 12: 43���6.
  11. WHO. Oral health surveys. Basic methods Oral health surveys. Basic Methods 1971.
  12. Frencken JE, de Amorim RG, Faber J, Leal SC The Caries assessment spectrum and treatment (CAST) index: Rational and development. Int Dent J 2011; 61: 117���23.
  13. de Amorim RG, Figueiredo MJ, Leal SC, Mulder J, Frencken JE Caries experience in a child population in a deprived area of Brazil, using ICDAS II. Clin Oral Investig 2012; 16: 513���20.
  14. Ismail A Visual and visuo-tactile detection of dental caries. J Dent Res 2004; 83: 56���66.
  15. Sheiham A, Maizels J, Maizels A New composite indicators of dental health. Community Dent Health 1987; 4: 407���14.
  16. Amarante E, Raadal M, Espelid I Impact of diagnostic criteria on the prevalence of dental caries in Norwegian children aged 5, 12 and 18 years. Community Dent Oral Epidemiol 1998; 26: 87���94.
  17. Bjarnason S, Koehler B, Rangg��rd L Dental caries in a group of 15 to 16-year-olds from G��teborg. Part I. Swed Dent J 1992; 16: 143���9.
  18. Howat AP, Holloway P, Brandt R The effect of diagnostic criteria on the sensitivity of dental epidemiological data. Caries Res 1981; 15: 117���23.
  19. Nyvad B, Machiulskiene V, Baelum V Reliability of a new caries diagnostic system differentiating between active and inactive caries lesions. Caries Res 1999; 33: 252���60.
  20. Pitts N, Fyffe H The effect of varying diagnostic thresholds upon clinical caries data for a low prevalence group. J Dent Res 1988; 67: 592���6.

MeSH Term

Humans
Dental Caries
Female
Male
Cross-Sectional Studies
Adult
Adolescent
DMF Index
Young Adult
Middle Aged
India
Age Factors
Sex Factors
Aged

Word Cloud

Created with Highcharts 10.0.0dentalICEDMFTcariesstudyindexoutreachCariesDTIDTconductedclinicsIndexExperienceaccordinggoodcorrelationdecayedteethscoreagehigherINTRODUCTION:Measurementimperativepreventioncontrolpresentaimdevelopingreliablereversiblevalidcross-sectionaldesignedschoolIndiaMETHODSANDMATERIAL:total219patientsvisitingcentresparticipatedPatientsattendingaged15yearsdentateaffectedincludedClinicalexaminationdoneclinicalconditionschairlightingDecayedMissingFilledTeethrecordedusingvisuo-tactilemethodcriteriaRESULTS:relationshipdeterminedResultsshowedvariedsexsignificantlyfemalesmalesamongyoungergroupsolderonesexhibitdifferencesCONCLUSIONS:newsystemprovisomeasurenon-cavitatedlesionshealthpermanentdentitionsensitive-CompositeSystemRecordingDental

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