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Oral Cancer Disparities in Low‑ and Middle‑Income Countries: A Global Health Equity Perspective on Prevention, Early Detection, and Treatment Access Cover

Oral Cancer Disparities in Low‑ and Middle‑Income Countries: A Global Health Equity Perspective on Prevention, Early Detection, and Treatment Access

Open Access
|Nov 2025

Full Article

Introduction

Oral cancer including malignancies of the lips, tongue, floor of the mouth, alveo‑gingival complex, and adjacent subsites remains one of the most visible tests of global health equity. Although some high‑income countries (HICs) still report higher age‑standardized incidence due to historical tobacco and alcohol exposure, the overwhelming share of cases, fatality, and disability now occurs in low‑ and middle‑income countries (LMICs), where prevention, early detection, and treatment capacity are constrained [13]. The consequence is a persistent survival gap, with LMICs experiencing markedly poorer outcomes despite the largely preventable nature of many tumors and the availability of cost‑effective interventions [4]. India illustrates the paradox: a large share of the global burden, rising incidence and mortality, and entrenched risk behaviors that disproportionately affect poorer and rural populations [5].

This review uniquely integrates global evidence through a health equity framework to bridge epidemiological data with feasible implementation strategies in LMICs. It applies a global health equity lens to synthesize where and why disparities arise and how they can be reduced. We reviewed global burden and distribution, interrogated social and environmental determinants, and examined the health‑system barriers that delay diagnosis and limit access to effective care. We then appraised the evidence for prevention, screening, and treatment strategies that are feasible in resource‑constrained settings, emphasizing task sharing, digital tools, and regional cooperation, and concluded with a practical road map and policy priorities to accelerate equitable gains. Accordingly, we prioritize evidence that is scalable in LMIC contexts, trackable through routine indicators, and adaptable to local realities, with attention to gender, income, and geography. We also emphasize affordability, implementation quality, and accountability to communities. This review aims to critically analyze inequities in oral cancer burden, detection, and treatment between HICs and LMICs. It seeks to identify evidence‑based determinants of disparity and policy levers to advance global oral cancer equity.

Methods

This narrative review followed the SANRA (Scale for the Assessment of Narrative Review Articles) quality framework to ensure methodological rigor. We conducted a structured search of PubMed, Scopus, and Web of Science for literature published between January 2020 and February 2025, using combinations of the following terms: “oral cancer,” “global health disparity,” “LMIC,” “prevention,” “screening,” and “treatment access.” English‑language, peer‑reviewed studies, systematic reviews, and global health reports addressing incidence, risk factors, screening, or treatment access in LMICs or comparative LMIC/HIC settings were included. Case reports, editorials, and studies unrelated to oral cancer or not containing country‑level data were excluded (Figure 1). The extracted data were synthesized under four domains: (1) behavioral and environmental risk exposures, (2) screening and diagnostic readiness, (3) treatment access and health‑system capacity, and (4) financial protection and policy implementation. All findings were analyzed comparatively between HIC and LMIC contexts based on World Bank income classification (2024).

Figure 1

Methodology flowchart of the narrative review. The figure illustrates the structured approach used to identify, screen, and include studies in the qualitative synthesis (n = 60).

Global Burden and Determinants of Inequity

The distribution of oral cancer is geographically skewed. South and Southeast Asia bear a disproportionate burden; India alone contributes about one‑third of global oral cancer cases despite accounting for only 18% of the world’s population, reflecting entrenched risk profiles and variable system readiness [6]. Incidence varies widely from ~1.9 per 100,000 in parts of sub‑Saharan Africa to ~12.6 per 100,000 in South‑Central Asia, but these figures likely underestimate true burden where diagnostic and registry capacity are also limited [7]. Mortality‑to‑incidence ratios (M:I) remain ~0.68 in LMICs versus ~0.43 in HICs, mirroring systemic constraints in access to diagnostics and care [8]. Registry coverage is especially sparse in Africa, with population‑based registries capturing only a small fraction of cases, compounding uncertainty and hampering planning [9]. Within‑country inequities add another layer, such as survival can differ five‑fold between urban and rural areas in Brazil and indigenous communities experience mortality two to three times of national averages due to delayed diagnosis and treatment abandonment [10]. Social gradients are marked: poorer quintiles often face two‑ to four‑fold higher incidence and three‑ to six‑fold higher mortality than wealthier groups [14]. Demographic patterns also differ. Compared with HICs, LMICs diagnose oral cancer at younger ages often in the fifth rather than the seventh decade, consistent with early initiation and prolonged exposure to tobacco, areca, and alcohol [11]. Earlier onset amplifies socioeconomic impact since illness commonly affects primary earners during peak productive years and can precipitate long‑term impoverishment [12]. Gender gaps, historically around 3–5:1 (male:female), are narrowing in some settings where women’s smokeless tobacco and betel quid use is increasing [13]. With the poorest and most remote communities facing the greatest exposure and the least access, inequity is produced and reproduced across generations [14].

Survival and functional outcomes

Five‑year survival underscores the equity divide where HICs report ~68–85% overall survival (with >90% for stage I–II), whereas LMICs often achieve only ~25–45% and some subregions fall below 20% [15]. Stage at presentation explains that much of the gap such as 55–70% is in early‑stage detection in HICs versus 15–35% in LMICs, but differences persist even after adjusting for stage, reflecting systemic deficits in surgical, radiation, pathology, and supportive care [16, 17]. Post‑treatment function and quality of life (speech, swallowing, and nutrition) are poorer in LMICs because the reconstructive options such as speech therapy and multidisciplinary rehabilitation are less available [18].

Risk Factors and Social Determinants

Tobacco (combusted and smokeless), areca, and alcohol

Tobacco remains the dominant risk factor. Over 80% of the world’s 1.3 billion tobacco users live in LMICs, where product diversity complicates regulation and cessation [19]. In addition to manufactured cigarettes, LMIC markets feature bidis and kreteks, water pipe products, and an array of smokeless forms, such as gutka, khaini, and zarda often mixed with areca nut and slaked lime, creating an alkaline milieu that augments mucosal carcinogen absorption [20, 21]. Toxicant profiles can exceed those of cigarettes; tobacco‑specific nitrosamines in smokeless mixtures are sometimes several‑fold higher; and sustained mucosal contact magnifies the exposure [22]. The summary of representative studies is presented in Table 1.

Table 1

Summary of representative publications.

AUTHOR (YEAR)STUDY TYPEJOURNALREGION/COUNTRYKEY FINDINGS RELEVANT TO REVIEW
Sankaranarayanan et al. (2015)Cluster RCTWorld Bank DataGlobal and LMICsCommunity‑based oral cancer screening reduced mortality by 34% among high‑risk users.
Atun et al. (2015)Policy analysisLancet OncolGlobalIdentified radiotherapy access gap of 65% in LMICs.
Mehrtash et al. (2017)Consensus policy paperLancet OncolSouth AsiaHighlighted areca nut as emerging carcinogenic driver.
Gupta et al. (2016)Epidemiological studyNepal J EpidemiolLMICsDocumented 1.3 billion tobacco users concentrated in LMICs.
Bray et al. (2024)Epidemiologic reportCA Cancer J ClinGlobalUpdated GLOBOCAN estimates showing >80% of oral cancer burden in LMICs.

Alcohol is a potent cofactor. Many LMICs have parallel markets for home‑distilled or informally sold beverages with variable ethanol content and contaminants (e.g., methanol and acetaldehyde) that raise carcinogenic potential beyond commercial products [23]. Tobacco–alcohol synergy is multiplicative; cousers have ~10–20× higher oral cancer risk than abstainers [24]. Cultural norms varied from ceremonial use to perceived medicinal value which shape acceptability and complicate policy management, requiring locally tailored strategies [25].

Environmental, occupational, and waterborne exposures

Structural exposures elevate baseline risk. Ambient air pollution exceeds WHO guidelines for ~92% of LMIC populations, while indoor biomass combustion exposes ~2.6 billion people to carcinogens such as benzopyrene and formaldehyde at concentrations far above outdoor urban levels in HICs [26, 27]. Occupational exposures such as pesticides in agriculture and solvents and dusts in industry are common under weak regulatory enforcement and limited personal protective equipment [28]. Chronic ingestion of toxic metals, notably arsenic in groundwater, affects over 140 million people globally, with concentrations in some regions far surpassing safety thresholds [29].

Nutrition, micronutrients, and food safety

Dietary insufficiency and food insecurity shape susceptibility. Diets low in fruits and vegetables (and therefore antioxidants and fiber) but high in processed and preserved foods reduce mucosal resilience and immune surveillance [30]. Micronutrient deficiencies including folate, vitamin B₁₂, and iron are highly prevalent (20–70% in some LMIC cohorts) and can impair DNA repair, methylation balance, and host defense [31]. Traditional preservation methods (smoking, salting, and fermentation) can generate nitrosamines and polycyclic aromatic hydrocarbons; aflatoxin contamination in staple foods remains common in tropical climates without adequate storage [32, 33].

Health‑System Barriers Across the Care Continuum

Primary‑care readiness and access

Primary‑care platforms are the linchpin for prevention and early detection but remain under‑resourced. Health‑worker density averages ~2.3 per 1,000 in LMICs versus ~12.8 in HICs, limiting capacity for community outreach, risk counseling, and routine oral examination [34]. Oral‑health content in medical and nursing curricula is minimal (often ≤8 hours), leaving frontline clinicians unprepared for systematic oral screening or potential malignant disorder (PMD) management [35]. Facility assessments indicate that 60–80% of primary centers lack basic equipment for oral inspection; digital photography that would facilitate remote consultation is uncommon [36]. Distance and cost are major barriers, with rural populations traveling 25–50 km to reach facilities and transportation frequently costing a day’s wages [37].

Specialist, diagnostic, and therapeutic capacity

Downstream services are thinly distributed. The density of oral and maxillofacial surgeons averages ~0.1 per 100,000 in LMICs (vs. ~2.5 in HICs), and entire countries may lack training programs [38]. Pathologist availability is ~10× lower than in HICs; biopsy turnaround frequently spans 4–12 weeks, delaying definitive management [39]. Radiotherapy capacity meets only ~35% of need overall; several regions lack radiotherapy unit within 1,000 km, producing wait lists that render some tumors inoperable by the time therapy begins [40]. Quality assurance systems are limited, with external quality control in fewer than one‑third of laboratories and routine outcome auditing in fewer than one‑fifth of cancer centers [41].

Referral pathways, records, and patient support

Referral clarity and care coordination remain weak. An estimated 70–85% of primary providers lack explicit referral criteria for suspicious lesions; patients often receive incomplete instructions, and back‑referrals are rare [42]. Paper records dominate in 80–90% of systems, and loss of information across levels of care is common; electronic records cover less than 10% in many LMICs versus ~85–95% in HICs [43]. Patient navigation is effective for adherence in HICs, which is available in less than 5% of LMIC cancer centers where treatment abandonment rates of 25–45% have been reported [44]. Collectively, these data underscore how structural inequities, not only behavioral risks, drive outcome disparities (Table 2).

Table 2

Comparative indicators: Oral cancer in HICs vs. LMICs.

INDICATORHICsLMICsPRIMARY DATA SOURCE
Five‑year survival (%)65–85%25–45%CONCORD‑3, Lancet, 2018
Stage I–II detection rate (%)55–70%15–35%Sankaranarayanan et al., 2015
Radiotherapy units per 1 million population12–15%1–2%Atun et al., 2015
Tobacco use prevalence (%)22%45%WHO GHO, 2024
National oral cancer screening coverage (%)60–70%<10%WHO PEN, 2023
HPV vaccination coverage (%)75–90%<50%Bruni et al., 2016
Health expenditure (% GDP)8–10%2–4%World Bank, 2024

Prevention and Early Detection: Evidence and Feasibility

Comprehensive tobacco control and alcohol policy

Beyond summarizing known disparities, this review synthesizes actionable levers for governments, health systems, and international partners to accelerate equity in oral cancer outcomes. WHO framework convention on tobacco control aligned strategies, such as taxation, smoke‑free laws, advertising bans, pictorial warnings, and cessation support, remain the most powerful levers for primary prevention [45]. Modeling and empirical evaluations suggest that robust implementation can reduce oral cancer incidence by 20–40% within 10–15 years. Excise taxes are especially potent; a 10% price increase typically reduces consumption by 4–8%, with the largest effects among youth and low‑income groups; however, policies must anticipate substitution and illicit trade dynamics to sustain gains [46]. Smoke‑free legislation reduces exposure and changes norms but depends on enforcement capacity; mass‑media campaigns with culturally tailored messaging raise quit attempts and deter initiation at low cost per disability adjusted life year (DALY) averted [47, 48].

Human papillomavirus (HPV) vaccination

HPV contribute substantially to oropharyngeal cancers in younger cohorts, and expanding vaccination offers a dual benefit alongside cervical cancer prevention. Coverage in most LMICs remains less than 50%, but school‑based delivery can achieve 80–95% uptake when paired with community engagement and health‑worker training. Rwanda’s program reached 93% coverage by integrating schools, primary care, and communication strategies [49, 50]. Economic analyses consistently show cost‑effectiveness ($100–$500 per DALY averted), particularly with pooled procurement mechanisms [51].

Nutrition and food safety

Population strategies to increase fruit and vegetable intake through subsidies, supply‑chain improvements, and social marketing are associated with 40–60% risk reductions in observational syntheses [52]. In high‑risk groups with documented deficiencies, targeted supplementation (e.g., folate and B‑complex) has slowed PMD progression by ~30–50% in trials [53]. Food‑safety interventions to reduce aflatoxin‑improved drying/storage, biocontrol, and regulatory standards have reduced contamination by 50–80% in program settings and brought cross‑cancer benefits [54].

Screening and triage pathways

Visual inspection by trained oral health‑care providers is a pragmatic foundation for early detection in high‑prevalence settings. With standardized protocols and supportive supervision, programs achieve approximately 60–85% sensitivity and 85–95% specificity, with cost‑effectiveness ratios around $200–$800 per DALY averted [55]. Complementary evidence shows that 20–40 hours of hands‑on training with refreshers sustains skill retention (>80% at one year) and that external quality assurance improves sensitivity by 15–25% [56, 57]. Adjunctive technologies (e.g., vital staining and autofluorescence) may raise sensitivity in some contexts, but their incremental value depends on cost, maintenance, and operator skill [58]. Digital innovations can extend reach. Smartphone‑enabled tele‑mentoring and store‑and‑forward imaging have demonstrated 80–90% diagnostic concordance with in‑person specialist assessment when images and metadata follow standardized protocols [59]. Early artificial intelligence algorithms approach specialist‑level accuracy in controlled datasets; the next step is prospective validation, bias assessment and lesion types, and embedding within referral pathways with human oversight [60].

Treatment Access and Service‑Delivery Models

Surgical services and task sharing

Even basic surgical capacity is insufficient in many LMICs. Workforce analyses suggest that LMICs collectively possess only ~20–40% of the specialized personnel needed for current demand, with training pipelines graduating fewer than 50 specialists per year across many countries [45]. Infrastructure deficits such as operating rooms, anesthesia, and ICU beds limit case complexity, and equipment shortages affect 70–90% of facilities attempting cancer surgery [46]. Perioperative mortality for major oral cancer resections is approximately 8–15% in LMIC settings versus 1–3% in high‑resource centers, where international‑standard resources and training exist and outcomes converge, demonstrating feasibility [47]. Pragmatic task sharing, including training general surgeons for early‑stage resections under specialist oversight with clear referral thresholds, has shown acceptable results and can be scaled with tele‑mentoring and standardized protocols [48].

Radiotherapy access and regional cooperation

Radiotherapy is a critical bottleneck. Meeting current needs would require 5,000–8,000 additional machines (approximately $15–$25 billion capital investment), as existing capacity serves only 35–45% of indicated patients [49]. Regional centers of excellence and cross‑border referral networks can partially close gaps, and pooled procurement and shared maintenance have reduced per‑patient costs by 40–60% and improved uptime in West African pilots [50]. Tele‑radiotherapy with remote planning and quality assurance under standardized protocols has achieved acceptable plan quality (85–95% meeting benchmarks) when linked with on‑site technical support [51].

Financial protection

Cancer care imposes severe financial strain. In many LMICs, direct medical costs for oral cancer equal 2–5 times of annual household income; 80–95% of affected families experience catastrophic health expenditure [52]. Indirect costs such as transport, lodging, and wage loss often match or exceed medical bills, especially in rural households where travel to tertiary centers is prolonged [53, 54]. Insurance coverage is sparse (15–35%) and frequently limited by co‑pays and benefit caps [55]. Countries that expanded social health insurance (e.g., Thailand and Rwanda) cut out‑of‑pocket spending by 60–80% and increased treatment completion [56]. Targeted budget lines for cancer equivalent to 0.1–0.3% of national health expenditure have produced measurable improvements in access where sustained [57].

Global Cooperation, Policy Alignment, and Research

WHO frameworks and “best buys”

The WHO Global Action Plan for noncommunicable diseases (NCDs) embeds oral cancer control within broader prevention, and the WHO “Best Buy” package highlights tobacco and alcohol policies as highly cost‑effective levers [58, 59]. Modeling suggests that comprehensive implementation could avert 25–40% of oral cancer cases at less than $150 per DALY averted, an unusually favorable ratio for cancer control. The WHO Package of Essential NCD Interventions (PEN) provides a standardized, primary‑care adaptable oral screening protocol that has proven feasible when combined with training and quality assurance [60].

Implementation research and capacity building

Persistent gaps concern delivery science rather than discovery. Priorities include (i) prospective evaluation of scaled visual screening with digital decision support and tele‑consultation, (ii) hybrid effectiveness–implementation trials of culturally tailored cessation and alcohol‑reduction packages, (iii) pragmatic trials of task sharing for early oral cancer surgery with tele‑mentoring, and (iv) cost and equity evaluations of regional radiotherapy networks. North–South and South–South partnerships can accelerate technology transfer with open‑source digital tools, simplified treatment guidelines, and shared training curricula, while building local bioengineering and biomedical technician capacity.

This review is limited by variability in regional data completeness and heterogeneity in oral cancer definitions across registries. The narrative nature of the synthesis carries a risk of selection and publication bias. Despite these limitations, triangulation of multiple international data sources provides a robust approximation of global oral cancer disparities.

Conclusions

Oral cancer inequities reflect the cumulative effects of exposure, poverty, and system capacity, and they are solvable with sustained, coordinated action. By focusing on four evidence‑based determinants, such as tobacco exposure, screening access, treatment capacity, and financial protection, this review clarifies where inequities between HICs and LMICs are most actionable. Strengthening these domains offers a realistic path to measurable global reduction in oral cancer mortality. Success also requires research that answers implementation questions, routine equity‑disaggregated monitoring, and accountability for results across sectors. When these elements move together, LMICs can close the outcome gap and transform oral cancer from a marker of inequity into a measure of progress toward health justice and universal cancer care. Regular public reporting of equity‑disaggregated progress metrics builds trust, enables course correction, and motivates sustained cross‑sector investment from governments, donors, and civil society at national and subnational levels.

Competing Interests

The authors have no competing interest to declare.

DOI: https://doi.org/10.5334/aogh.5003 | Journal eISSN: 2214-9996
Language: English
Submitted on: Oct 11, 2025
Accepted on: Nov 3, 2025
Published on: Nov 28, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Delfin Lovelina Francis, Saravanan Sampoornam Pape Reddy, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.