Evidence map›Paper›PMID 39905081›Full record

ArticleScientific reports2025

Socio-demographic disparities in global trends of lip and oral cavity neoplasms from 1990 to 2021.

Amr Sayed Ghanem, Ágnes Tóth, Attila Csaba Nagy

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Hemidesmosomal Proteins in Oral Cancer Progression: An Immunohistochemical Study of Human and Mouse.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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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

3 authors.

Amr Sayed GhanemDepartment of Health Informatics, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.
Ágnes TóthDepartment of Integrative Health Sciences, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.
Attila Csaba NagyDepartment of Health Informatics, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary. nagy.attila@etk.unideb.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer, the 13th most common globally, is primarily squamous cell carcinoma linked to tobacco, alcohol, and HPV. Despite advances in care, it remains a major health concern due to high mortality and its impact on quality of life. This study analyzed socio-demographic disparities in oral cancer burden using data from 1990 to 2021. We analyzed annual incidence, mortality, and DALYs across 204 countries, using age-standardized rates and the Socio-demographic Index (SDI) to assess development-related impacts. Statistical methods included Kruskal-Wallis tests, linear regression, joinpoint regression for trends, and Exponential Smoothing for forecasts (2022-2030), with analyses conducted in STATA and Python, and p < 0.05 as significant. Incidence was highest in high SDI countries, while mortality and DALYs were highest in low and middle SDI countries (p < 0.001). From 1990 to 2021, incidence increased (AAPC: 0.5-1.0%), while mortality (APC: - 0.5%) and DALYs (APC: - 0.6%) declined in low SDI regions. Significant disparities across SDI categories (p < 0.001) showed incidence rising with socio-demographic development (R

Indexed as

Lip NeoplasmsMouth NeoplasmsFemaleGlobal HealthHealth Status DisparitiesHumansIncidenceMaleMiddle AgedSocioeconomic FactorsCancerDisease burdenGlobal burden of diseaseInequalitiesJoinpoint regressionNeoplasmOral cavitySociodemographic

Identifiers

PMID39905081
PMCPMC11794761

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Registered trials

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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.