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Review Article
ARTICLE IN PRESS
doi:
10.25259/JGOH_48_2025

Under the lens: Critical review of dental caries indices

Department of Public Health Dentistry, Himachal Pradesh Government Dental College and Hospital, Shimla, Himachal Pradesh, India.
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Corresponding author: Nitika Naryal, Department of Public Health Dentistry, Himachal Pradesh Government Dental College and Hospital, Shimla, Himachal Pradesh, India. nikiesunvij01@gmail.com
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This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Naryal N, Bhardwaj V, Fotedar S, Thakur A, Vashisth S, Sankhyan A. Under the lens: Critical review of dental caries indices. J Global Oral Health. doi: 10.25259/JGOH_48_2025

Abstract

Dental caries remains a highly prevalent chronic disease globally. Accurate measurement of caries experience and severity is fundamental for surveillance, planning, and evaluation of oral health interventions. Numerous dental caries indices have been developed over time, reflecting evolving concepts of caries as a dynamic and multifactorial process. However, variability in diagnostic thresholds and scope limits comparability across studies. The objective of the article is to critically review and compare major dental caries indices and evaluate their strengths, limitations, and applicability in clinical, epidemiological, and public health contexts. A narrative review of conventional and contemporary dental caries indices was undertaken. Indices were analyzed based on diagnostic sensitivity, ability to detect early lesions, and disease activity, feasibility, and suitability for different applications. Traditional indices such as decayed, missing, and filled teeth/decayed, missing, filled surfaces and (def/defs) remain widely used for population-level surveillance due to their simplicity and historical continuity, but they underestimate disease burden by excluding early lesions and activity status. Contemporary systems, including the international caries detection and assessment system II and Nyvad’s criteria, provide detailed staging and activity assessment but are resource-intensive and technique-sensitive. Indices such as caries assessment spectrum and treatment offer an integrated continuum of caries progression and treatment needs, while pulpal involvement, ulceration, fistula, abscess highlight the consequences of untreated disease. The Significant caries index effectively identifies high-risk subgroups but lacks diagnostic value. No single index comprehensively captures caries initiation, progression, activity, and consequences. Index selection should be guided by study objectives and resource availability. Future research should focus on developing integrated, standardized frameworks that balance diagnostic sensitivity with feasibility to enhance comparability and translational value across settings.

Keywords

Critical review
Decayed
missing and filled index
Dental caries
Health survey
Public health

INTRODUCTION

Dental caries remains one of the most prevalent chronic oral diseases worldwide and continues to pose significant challenges to both clinical practice and public health systems. Despite major advancements in diagnostic technologies, preventive strategies, and restorative techniques, the global burden of dental care persists, particularly in populations with limited access to oral healthcare.[1] Accurate and standardized measurement of caries is essential for understanding disease burden, monitoring trends, planning interventions, and evaluating the effectiveness of preventive programs. Traditional indices such as the decayed, missing, and filled teeth (DMFT) index have long served as foundational tools in epidemiology due to their simplicity and ease of application. However, they are limited in their ability to detect early, non-cavitated lesions and do not differentiate between stages of disease progression.[2]

In response to these limitations, modern diagnostic systems – including the International Caries Detection and Assessment System (ICDAS), the pulpal involvement, ulceration, fistula,abscess (PUFA) index, the caries assessment spectrum and treatment (CAST) index, and activity-based systems such as Nyvad’s criteria – have emerged to provide more nuanced and comprehensive assessments. These indices vary widely in complexity, diagnostic sensitivity, and clinical applicability.[3] Given the diversity of available tools and the absence of a universally optimal index, selecting the most appropriate system depends on the specific purpose— whether clinical diagnosis, epidemiological surveillance, school screenings, or clinical trials. This review aims to provide a clear and comparative evaluation of commonly used dental caries indices to guide their appropriate selection and application in both research and clinical settings.[4]

DENTAL CARIES INDICES

Russel AL defines Index as a numerical value describing the relative status of the population on a graduated scale with definite upper and lower limits, which is designed to permit and facilitate comparison with other populations classified with the same criteria and the method. The ideal requisites of an index are detailed in Figure 1. Dental caries indices play a central role in understanding disease distribution, monitoring trends, and guiding clinical and public health decision-making. Over the decades, numerous indices have been developed in response to evolving concepts of caries as a dynamic, multifactorial disease rather than a purely cavitated condition [Table 1]. These indices differ in their scope, diagnostic thresholds, complexity, and applicability, ranging from traditional measures of cumulative caries experience to contemporary systems emphasizing early lesion detection, disease activity, and treatment needs. A comprehensive review of dental caries indices is therefore essential to critically evaluate them and to assist clinicians, researchers, and policymakers in selecting the most appropriate index for specific objectives, which is depicted in Table 2.

Table 1: Chronological summary of various dental caries indices.
Year Name Index
1938 Klein H et al., DMFT/DMFS[6]
1944 A. O. Gruebbel Def index[7]
1949 Stones HH et al., Stones index[22]
1964 Tank and Storvick Caries severity index[29]
1961 A. Richardson Caries susceptibility index[20]
1973 Moller and Poulsen Moller’s index[27]
1979 WHO Dental caries severity classification scale (D1-D4 scale)[23]
1980 & 2001 Katz RV & Banting DW Root caries index[24,25]
1986 Chosack A Caries severity index for primary teeth[30]
1999 Nyvad et al., Nyvad’s system[11]
2000 D. Bratthall Significant caries index (SiC Index)[19]
2005 ICDAS Coordinating Committee International Caries Detection and Assessment System (ICDAS II)[12,13]
2006 S. Acharya Specific caries Index[21]
2010 Monse et al., PUFA[16]
2011 & 2014 Frencken et al., & de Souza et al. Caries Assessment and Spectrum of Treatment (CAST)[17,18]
2013 WHO Dentition status (WHO Pro forma)[26]

DMFT: Decayed, missing, and filled teeth, DMFS: Decayed, missing, filled surfaces, PUFA: Pulpal involvement, ulceration, fistula, abscess, ICDAS: International caries detection and assessment system, CAST: Caries assessment spectrum and treatment, WHO: World Health Organization.

Fundamental requisites of an ideal index.
Figure 1: Fundamental requisites of an ideal index.
Table 2: A comprehensive review of dental caries indices.
Index Scope Activity assessment Radiographic requirement Time and training needed Characteristics Overall remarks (Good/ Fair/Poor)
DMFT/DMFS Measures lifetime caries experience in permanent dentition No No Very low Clear, simple, reproducible; poor sensitivity to early lesions Fair
def/defs Measures caries experience in primary dentition No No Very low Simple and acceptable for children Fair
Stones index Evaluate caries incidence in children (3–16 years) No No Very low Simple and objective categorization Fair
Caries severity index Measure the extent and depth of decayed surfaces and pulpal involvements Yes (activity codes available) No High Clear, sensitive when radiographs used Good
Caries susceptibility index Measures the risk and incidence of caries Yes (explicit activity criteria) No High Time-consuming; limited objectivity Poor
Moller’s index Record dental caries on pit and fissure surfaces, smooth surfaces and proximal surfaces No No Very low Comprehensive but complex Fair
D1–D4 scale (WHO) Evaluate the progression from initial lesion to pulp involvement No (focuses on severity and treatment) No Moderate Sensitive but technique- sensitive Fair
Root caries index Measure root caries prevalence and teeth at risk No No Very low Simple and focused Good
Primary teeth severity index Record the severity of caries in primary teeth No Optional (bitewings improve detection) Low– Moderate Detailed but complex Fair
Nyvad’s criteria Activity assessment of non-cavitated and cavitated carious lesions No (but radiographs recommended for proximal) Often requires radiographs for proximal assessment Moderate– High Sensitive but training intensive Fair
SiC Index Identification of high-caries-risk subgroup No No Low– Moderate Simple secondary calculation Poor
ICDAS Detection of primary coronal caries and root caries, Activity assessment No (radiographs used where necessary) Often uses radiographs for depth assessment Moderate Highly sensitive; standardized Good
Specific caries index Morphological distribution of caries No No High (requires follow-up) Simple and objective Fair
PUFA/pufa Measures the consequences of untreated caries No No Low Simple and objective Good
CAST Assess the presence of oral conditions resulting from untreated caries No No Moderate Clear, integrated system Good
WHO dentition status Coronal and root status of dentition No No Moderate– High Simple and reproducible Fair

DMFT: Decayed, missing, and filled teeth, DMFS: Decayed, missing, filled surfaces, PUFA: Pulpal involvement, ulceration, fistula, abscess, ICDAS: International caries detection and assessment system, CAST: Caries assessment spectrum and treatment, SiC: Significant caries, WHO: World Health Organization.

DISCUSSION

Caries measurement methods vary considerably, making the comparison problematic among different indices. Campus et al.,[5] conducted a cross-sectional study, where four caries measurement methods, the World Health Organization’s decayed, missing, and filled teeth (WHODMFT), the ICDAS, the CAST, and the Nyvad Criteria were tested among 12-year-old children. The greatest difference among methods was shown by the number of sound teeth. At the level of dentinal distinct/active cavitated lesions, no statistically significant difference was observed, and in the severe caries levels, all methods were partially in agreement, while no accordance was found for the initial (enamel) lesions, concluding that clinicians have to select the caries detection method that best fits with their daily outcome. Table 3 summarizes the strength and limitations and how various indices differ in their applicability in clinical, epidemiological, and public health contexts. Traditional indices such as DMFT/decayed, missing, filled surfaces (DMFS) and def/defs remain indispensable in epidemiological surveillance owing to their operational simplicity, reproducibility, and historical acceptance.[6,7] Their cumulative scoring enables trend analysis and cross-population comparisons; however, they inherently underestimate disease burden by excluding early non-cavitated lesions and failing to differentiate between lesion severities. By assigning equivalent scores to untreated carious teeth and successfully restored teeth, these indices may misrepresent current disease activity and preventive care outcomes. In addition, in older populations, tooth loss recorded within these systems may reflect periodontal disease or trauma rather than caries, thereby compromising diagnostic specificity.[8-10]

Table 3: Comparative summary for practical application of major dental caries indices.
Index Strengths Limitations Application
DMFT/DMFS Simple, widely used; good for prevalence and trend monitoring Overlooks early lesions Misleading in older adults due to non-caries tooth loss Underestimation due to non-inclusion of preventive restoration Assigns equivalent scores to untreated caries and restored, healthy teeth Assigns identical scores to mild and advanced carious lesions Cumulative score Large epidemiological surveys; national reporting
Def index Adapted for primary teeth; simple and quick Same as DMFT; misclassification (Cannot differentiate natural exfoliation from caries-related loss) Pediatric surveys; school-based screenings
WHO dentition status (Proforma) International standard enabling cross-country comparisons Does not capture early lesions or activity National surveillance; public health reporting
ICDAS II High sensitivity; standardized staging; useful in trials Time-consuming; requires meticulous calibration Clinical trials and research
Nyvad’s index Accurately differentiates active vs inactive lesions; useful for monitoring Technique-sensitive; requires meticulous calibration; potential subjectivity Research on lesion activity; clinical monitoring
PUFA Highlights severe unmet needs May include ulcers other than related to the carious tooth Screening for urgent care; treatment planning
CAST Integrates stages, restorations and complications; practical for planning - Community surveys; treatment planning
SiC Index Highlights inequalities and clustering of disease Not diagnostic; only top third analyzed Inequality assessments; planning targeted interventions
Specific caries index Provides qualitative insights into lesion patterns and location Underestimates proximal lesions without radiographs Small-scale clinical or epidemiologic studies
Moller’s index Detailed surface-based scoring Complex; radiographic dependence limits field use Clinical studies requiring surface-level detail
Stones index Simple categories based on extent of crown destruction Does not capture incipient lesions; may miss filled/missing teeth Longitudinal school-based epidemiological studies
Caries severity index Estimates severity and depth; includes pulpal status Does not measure incipient lesion Clinical assessments and research
Caries susceptibility index Provides individual susceptibility/risk measure Time-consuming; needs longitudinal follow-up; does not grade severity; poor sensitivity Cohort studies assessing susceptibility
Root caries index Focused on root caries; simple to use Does not grade severity of root lesions; radiographs may miss subgingival lesions Older adult populations; clinical periodontal-cohorts
Dental caries classification scale (D1–D4) Includes incipient lesions and progression stages Requires meticulous examiner training to differentiate between stages; potential inter-examiner variability Clinical surveys needing fine staging
Dental caries severity index for primary teeth Tailored for primary dentition; records progression Complex scoring; potential reliability issues Pediatric clinical assessments and detailed surveys

DMFT: Decayed, missing, and filled teeth, DMFS: Decayed, missing, filled surfaces, PUFA: Pulpal involvement, ulceration, fistula, abscess, ICDAS: International caries detection and assessment system, CAST: Caries assessment spectrum and treatment, SiC: Significant caries, WHO: World Health Organization.

In contrast, diagnostic systems such as Nyvad’s criteria[11] and ICDAS[12,13] represent a shift toward early detection and disease activity assessment. ICDAS provides a standardized visual framework capable of identifying initial enamel changes through advanced cavitation, supporting preventive and minimally invasive approaches. Nyvad’s system further refines diagnosis by distinguishing active from inactive lesions, making it particularly valuable for longitudinal monitoring. Despite these advantages, both systems require extensive examiner training, meticulous calibration, and increased examination time. Their technique-sensitive nature and reliance on examiner expertise limit feasibility in large-scale surveys and resource-limited settings.[14,15]Indices designed to assess disease severity and consequences, including PUFA[16] and CAST,[17] emphasize treatment needs rather than early diagnosis. PUFA is particularly effective in highlighting advanced, untreated care and associated complications, thereby identifying populations with urgent care requirements. However, its focus on severe outcomes excludes early disease stages and may inadvertently include non-caries-related oral pathology. CAST offers a more integrated approach by mapping caries progression from sound teeth to complications and restorations within a single framework, enhancing its utility for community surveys and health service planning. Nevertheless, the absence of lesion activity assessment limits its preventive orientation.[18]

Several indices address specific analytical objectives. The Significant Caries Index[19] and Caries Susceptibility Index[20] high-risk subgroups by focusing on individuals with the highest disease burden, thereby drawing attention to oral health inequalities. While useful for targeted interventions, it lacks diagnostic detail and cannot function independently as a caries assessment tool.[15] Similarly, indices such as the Specific Caries Index,[21] Stones Index,[22] D1-D4 scale,[23] Root Caries Index,[24,25] WHO Dentition status[26] and Moller’s Index[27] provide qualitative insights into lesion distribution and surface-level involvement but are limited by radiographic dependence, complexity, or reduced sensitivity to proximal lesions.[28] Across all indices, critical methodological gaps persist. Few systems integrate early lesion detection, activity status, severity grading, and clinical consequences within a single, feasible framework.[29,30] Inter-examiner variability, inconsistent diagnostic thresholds, and limited adaptability to digital diagnostics further constrain comparability across studies. Moreover, most indices remain static, failing to align with contemporary risk-based and longitudinal models of caries management.

The evolution of dental caries indices reflects the ongoing efforts to enhance diagnostic accuracy, clinical relevance, and epidemiological utility. Traditional indices remain valuable for large-scale studies, while contemporary systems support early detection and activity assessment. However, limitations persist, such as older indices overlooking early lesions, whereas advanced indices require significant training and resources. Across the literature, there is increasing consensus that no single index fully captures lesion initiation, progression, activity, and treatment needs. The findings of this review support a call for a unified diagnostic framework capable of addressing both clinical and public health goals.

CONCLUSION

While each dental caries index fulfills specific functions, none serves as a universal gold standard. Conventional indices such as DMFT/DMFS, def/defs, and the WHO basic methods remain indispensable for population-level surveillance and longitudinal trend analysis, while diagnostic systems, including ICDAS and Nyvad’s criteria, improve sensitivity through early detection of non-cavitated lesions and assessment of lesion activity. Indices such as the CAST provide a comprehensive, continuum-based evaluation by integrating disease severity with treatment needs, while the PUFA index specifically addresses the clinical consequences of untreated advanced caries. Overall, the selection of a caries index should be guided by the study objective, whether epidemiological monitoring, early diagnosis, evaluation of treatment needs, or identification of vulnerable populations. The future of research, practice, and education in cardiology requires the development of an integrated caries assessment framework that simultaneously captures lesion severity, activity, early detectability, and treatment requirements, enabling standardized, comprehensive, and patient-centered caries assessment across clinical and public health settings.

Ethical approval:

Institutional Review Board approval is not required.

Declaration of patient consent:

Patient’s consent is not required as there are no patients in this study.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil

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