Evidence map›Paper›PMID 39493095›Full record

ArticleCureus2024

Trends in Melanoma Incidence, Prevalence, Stage at Diagnosis, and Survival: An Analysis of the United States Cancer Statistics (USCS) Database.

Okelue E Okobi, Edelann Abreo, Nneka P Sams, Onyebuchi H Chukwuebuni, Loretta Agyemang Tweneboa Amoako, Bernard Wiredu, Emah E Uboh, Victoria C Ekechi, Adaku A Okafor

Registry-linked trialAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07562841 (Safety and Tolerability of Au-TMP Nanoparticles in Combination With Radiotherapy for Patients With Advanced Melanoma Receiving Anti-PD-1 Therapy), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT07562841 phase1recruitingnot on this mapstarted 2026, after this paper: background citation

Safety and Tolerability of Au-TMP Nanoparticles in Combination With Radiotherapy for Patients With Advanced Melanoma Receiving Anti-PD-1 Therapy

TypeinterventionalSponsorWest China HospitalRan2026 to 2029Enrolled6ConditionsAdvanced MelanomaArmsAu-TMP, Fractionated Radiotherapy (RT), Toripalimab
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Comprehensive Genomic Profiles of Melanoma in Veterans Compared to Reference Databases.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    Article
  15. Review
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

9 authors.

Okelue E OkobiFamily Medicine, Medficient Health Systems, Laurel, USA.
Edelann AbreoFamily Medicine, Grand Rehabilitation Center, Valatie, USA.
Nneka P SamsPublic Health, Walden University, Minneapolis, USA.
Onyebuchi H ChukwuebuniInternal Medicine, Spartan Health Sciences University, School of Medicine, Vieux Fort, LCA.
Loretta Agyemang Tweneboa AmoakoInternal Medicine, Greater Accra Regional Hospital, Accra, GHA.
Bernard WireduInternal Medicine and Oncology, St. James School of Medicine, Park Ridge, USA.
Emah E UbohInternal Medicine, College of Medicine, University of Lagos, Lagos, NGA.
Victoria C EkechiHematology and Oncology, Veterans Affairs Medical Center, Washington, DC, USA.
Adaku A OkaforInternal Medicine, Spartan Health Sciences University, School of Medicine, Vieux Fort, LCA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives Melanoma, a major skin cancer, has seen varying trends in incidence, prevalence, stage at diagnosis, and survival. This study examines these trends using the United States Cancer Statistics (USCS) database, covering the period from 1999 to 2021. Methods We extracted data from the USCS database, which integrates the National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) program and the Centers for Disease Control and Prevention's (CDC) National Program of Cancer Registries (NPCR). The analysis included new melanoma cases, prevalence estimates (using a 20-year limited duration), stage at diagnosis, and five-year relative survival rates. Incidence rates were adjusted for age using the 2000 United States standard population. Descriptive and trend analyses were performed using IBM SPSS Statistics software, version 29 (IBM Corp., Armonk, NY).  Results The analysis of melanoma trends from 1999 to 2021 reveals a significant increase in the annual age-adjusted incidence rate, rising from 15.1 per 100,000 (95% CI: 14.9- 15.2) in 1999 to 23.0 per 100,000 (95% CI: 22.8- 23.1) in 2021. This upward trend is consistent across gender and racial/ethnic groups. The prevalence of melanoma over a 20-year period was 0.279 (95% CI: 0.276-0.282), with males showing a higher prevalence (0.302, 95% CI: 0.298-0.306) compared to females (0.256, 95% CI: 0.252-0.260). The distribution of melanoma stage at diagnosis indicated that 77% of cases were localized (95% CI: 76.5-77.5%), 9.5% regional (95% CI: 9.2-9.8%), 4.7% distant (95% CI: 4.4-5.0%), and 8.8% unstaged (95% CI: 8.5-9.1%). Survival analysis showed a five-year relative survival rate of 99.4% (95% CI: 99.2-99.6%) for localized melanoma and 35.6% (95% CI: 33.7-37.6%) for distant melanoma, highlighting significant disparities in survival based on stage at diagnosis. Conclusions The study highlights a rising incidence of melanoma and emphasizes the critical role of early detection in improving survival outcomes. The findings underscore the effectiveness of early diagnosis and the necessity for ongoing efforts to improve melanoma outcomes across diverse populations.

Indexed as

incidencemelanomaprevalencepublic healthstage at diagnosissurvival ratesuscs database

Identifiers

PMID39493095
PMCPMC11529802

What OpenQuestion holds

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Registered trials

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.