Evidence map›Paper›PMID 29208416›Full record

ArticleJournal of the American Academy of Dermatology2018

Statin use and risk of skin cancer.

Brian M Lin, Wen-Qing Li, Eunyoung Cho, Gary C Curhan, Abrar A Qureshi

Abstract read
In one paragraph

Article in Journal of the American Academy of Dermatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  5. Predictive value of immunological markers in systemic sclerosis.Experimental and therapeutic medicine · 2021
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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

5 authors at 3 institutions in 1 country.

Brian M LinDepartment of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: brian_lin@meei.harvard.edu.
Wen-Qing LiDepartment of Dermatology, Warren Alpert Medical School, Providence, Rhode Island; Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Eunyoung ChoChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Warren Alpert Medical School, Providence, Rhode Island; Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Gary C CurhanChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Renal Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Abrar A QureshiChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Warren Alpert Medical School, Providence, Rhode Island; Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Brigham and Women's Hospital · USBrown University · USMassachusetts Eye and Ear Infirmary · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
NCI NIH HHS P01 CA087969NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundStatins are among the most commonly used medications in the United States, and statin use is associated with increased risk of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). However, previous studies are limited by lack of adjustment for important confounders.

objectiveExamine the relation between statins and skin cancer risk in the Nurses' Health Study and Health Professionals Follow-up Study.

methodsCox proportional hazards regression was used to evaluate associations.

resultsDuring follow-up (2000-2010), we documented 10,201 BCC, 1393 SCC, and 333 melanoma cases. History of high cholesterol level was not associated with risk of BCC (pooled multivariable-adjusted hazard ratio [HR], 1.04; 95% confidence interval [CI], 1.00-1.09), SCC (HR, 0.95; 95% CI, 0.85-1.06), or melanoma (HR, 0.87; 95% CI, 0.64-1.19). Statin use was not associated with risk of BCC (HR, 1.04; 95% CI, 0.99-1.09]), SCC (HR, 1.08; 95% CI, 0.94-1.24), or melanoma (HR, 1.04; 95% CI, 0.78-1.38). There was a trend toward higher BCC risk with longer duration of statin use in men (P trend = .003) but not in women (P trend = .86). LIMITATIONS: Lack of treatment data.

conclusionHistory of high cholesterol level was not associated with skin cancer risk. Longer duration of statin use was associated with a trend toward higher BCC risk in men.

Indexed as

AdultBasal Cell CarcinomaFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedProspective StudiesRisk AssessmentSkin NeoplasmsHydroxymethylglutaryl-CoA Reductase Inhibitorsbasal cell carcinomaepidemiologyhigh cholesterolmelanomasquamous cell carcinomastatins

Identifiers

PMID29208416
PMCPMC5957516
OpenAlexW2775502046

What OpenQuestion holds

Textmetadata
LicenceTDM
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.