Evidence map›Paper›PMID 24335896›Full record

ArticleThe Journal of investigative dermatology2014

Predictors of neighborhood risk for late-stage melanoma: addressing disparities through spatial analysis and area-based measures.

Shasa Hu, Recinda Sherman, Kristopher Arheart, Robert S Kirsner

Abstract read
PubMed Publisher
In one paragraph

Article in The Journal of investigative dermatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Skin Cancer in People of Color: A Systematic Review.American journal of clinical dermatology · 2022
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Geospatial Patterns of Non-Melanoma Skin Cancer in Relation to Climate Changes in Iran.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  7. Article
  8. Article
  9. Melanoma in women of childbearing age and in pregnancy in California, 1994-2015: a population-based cohort study.Journal of the European Academy of Dermatology and Venereology : JEADV · 2022
    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

4 authors.

Shasa HuDepartment of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA. Electronic address: shu@med.miami.edu.
Recinda ShermanSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA; Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, USA.
Kristopher ArheartDepartment of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, USA.
Robert S KirsnerDepartment of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA; Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minority populations have disproportionately more advanced stage melanoma and worse survival. To clarify the impact of race and ethnicity on late-stage melanoma diagnosis, we performed spatial analysis of geocoded melanoma cases diagnosed in Florida, 1999-2008, to identify geographic clusters of higher-than-expected incidence of late-stage melanoma and developed predictive models for melanoma cases in high-risk neighborhoods accounting for area-based poverty, race/ethnicity, patient insurance status, age, and gender. In the adjusted model, Hispanic ethnicity and census tract-level poverty are the strongest predictors for clustering of late-stage melanoma. Hispanic whites were 43% more likely to live in neighborhoods with excessive late-stage melanoma (P<0.001) compared with non-Hispanic whites (NHW). For every 1% increase in population living in poverty, there is a 2% increase in late-stage melanoma clustering (P<0.001). Census tract-level poverty predicted late-stage melanoma similarly among NHW and Hispanic whites. The impact of insurance coverage varied among populations; the most consistent trend was that Medicaid coverage is associated with higher odds for late-stage melanoma. The finding that Hispanics are most likely to reside in high-risk neighborhoods, independent of poverty and insurance status, underscores the importance of addressing, and overcoming community-level barriers to melanoma care.

Indexed as

Residence CharacteristicsAgedEthnicityFemaleFloridaGeographyHealth Services AccessibilityHispanic or LatinoHumansInsurance, HealthMaleMedicaidMedicareMelanomaMiddle AgedMinority Groups

Identifiers

PMID24335896

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.