Evidence map›Paper›PMID 36814240›Full record

ArticleBMC cancer2023

Is obesity a risk factor for melanoma?

Yuval Arbel, Yifat Arbel, Amichai Kerner, Miryam Kerner

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Yuval ArbelSir Harry Solomon School of Economics and Management, Western Galilee College, Derech Hamichlalot, 2412101, Acre, Israel. Yuval.arbel@gmail.com.
Yifat ArbelDepartment of Mathematics, Bar Ilan university, 1 Max and Anna Web Street, 5290002, Ramat Gan, Israel.
Amichai KernerSchool of Real Estate, Netanya Academic College, 1 University Street, 4223587, Netanya, Israel.
Miryam KernerThe Ruth and Bruce Rapoport Faculty of Medicine, Technion - Israel Institute of Technology, 1 Efron Street, 3525422, Haifa, Israel.
Bar-Ilan University · ILNetanya Academic College · ILTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAre twofold: 1) to estimate the relationship between obesity (BMI ≥30) and the prevalence of melanoma in different US states and 2) to examine the possibility of defining a new risk group. This might enhance the possibility of detection, which in turn, might increase the survival rates of patients. STUDY

designA cohort Study, based on data at the US statewide level in 2011-2017, where the dependent variable (the annual new melanoma cases per 100,000 persons) is adjusted for age.

methodQuadratic regression analysis. This model permits a non-monotonic variation of obesity with new melanoma cases adjusted for age, where the control variable is the level of UV radiation.

resultsDemonstrate a negative correlation between obesity and incidence of melanoma. This outcome is further corroborated for Caucasians.

conclusionsWe should continue to establish primary prevention of melanoma by raising photo protection awareness and secondary prevention by promoting skin screening (by physician or self) among the entire population group in all BMI ranges. Advanced secondary melanoma prevention including noninvasive diagnosis strategies including total body photography, confocal microscopy, AI strategies should focus the high-risk sub group of Caucasians with BMI < 30.

Indexed as

MelanomaSkin NeoplasmsCohort StudiesHumansIncidenceObesityRisk FactorsMelanomaObesityRisk factor

Identifiers

PMID36814240
PMCPMC9944773
OpenAlexW4321487755

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.