article Open AccessTop 1% cited
Using Resistin, glucose, age and BMI to predict the presence of breast cancer
BMC Cancer · 2018 · Vol. 18(1) · pp. 29–29
Miguel Patrício✉(University of Coimbra)José Pereira(University of Coimbra)Joana Crisóstomo(University of Coimbra)Paulo Matafome(Polytechnic Institute of Coimbra)Manuel Gomes(University of Coimbra)Raquel Seiça(University of Coimbra)Francisco Caramelo(University of Coimbra)
Abstract
These findings provide promising evidence that models combining age, BMI and metabolic parameters may be a powerful tool for a cheap and effective biomarker of breast cancer.
Cancer Risks and FactorsNutritional Studies and DietAdipokines, Inflammation, and Metabolic DiseasesResistinMedicineBreast cancerConfidence intervalLogistic regressionOncologyAdiponectinInternal medicineBiomarkerAnthropometry
MeSH terms
AgedBlood GlucoseBreast NeoplasmsFemaleGenetic TestingHumansInsulinInsulin ResistanceMiddle AgedObesityBody Mass IndexResistin
Funding
- Fundação para a Ciência e a Tecnologia
Citations
279
FWCI
13.31
field-weighted impact
References
30
Percentile
99%
vs. same field & year
Citations per year
References
Understanding diagnostic tests 3: receiver operating characteristic curves
Acta Paediatrica · 2007 · 1,893 citations
A breast cancer prediction model incorporating familial and personal risk factors
Statistics in Medicine · 2004 · 1,343 citations
Index for rating diagnostic tests
Cancer · 1950 · 11,242 citations
Towards better clinical prediction models: seven steps for development and an ABCD for validation
European Heart Journal · 2014 · 1,814 citations
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