Meta-analysis of risk factors for cutaneous melanoma: I. Common and atypical naevi.
By Sara Gandini, F. Sera, M. Cattaruzza, P. Pasquini, D. Abeni, Peter Boyle, Carmelo Francesco Melchi. European Journal of Cancer, 2005
811 citations recorded by the source corpus.
A systematic meta-analysis of observational studies of melanoma and one of the most important risk factors, the number of naevi, was conducted in order to clarify aspects of the aetiology of this disease. Following a systematic literature search, relative risks (RRs) were extracted from 46 studies published before September 2002. Dose-response random effects models were used to obtain pooled estimates. Sub-group analysis and meta-regression were carried out to explore sources of between-study variation and bias. Sensitivity analyses investigated the reliability of the results and any publication bias. Number of common naevi was confirmed an important risk factor with a substantially increased risk associated with the presence of 101-120 naevi compared with <15 (pooled Relative Risk (RR) = 6.89; 95% Confidential Interval (CI): 4.63, 10.25) as was the number of atypical naevi (RR = 6.36 95%; CI: 3.80, 10.33; for 5 versus 0). The type of study and source of cases and controls were two study characteristics that significantly influenced the estimates. Case-control studies, in particular when the hospital was the source for cases or controls, appeared to present much lower and more precise estimates than cohort studies.
Subfields: Epidemiology, Oncology
View Paper: https://www.semanticscholar.org/paper/c7f68e138edddc079b150dc067879977767f26b6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Oncology
Citations in the corpus
- Meta-analysis of risk factors for cutaneous melanoma: III. Family history, actinic damage and phenotypic factors. (2005, methodology): “Data searches were conducted on Medline (National Library of Medicine, Bethesda USA), using the PubMed interrogation interface, and EMBASE (Elsevier Science, Amsterdam, Holland) using OVID, as in the metaanalysis on naevi count [1].”