Background: The Calvert formula is used to estimate the carboplatin dose needed to achieve the desired Area Under the Curve (AUC) despite little consensus on which estimated Glomerular Filtration Rate (eGFR) equation best reflects renal clearance. Cockcroft-Gault (CG) is often used when calculating estimated Creatinine Clearance (CrCl) for the Calvert formula. Equations like Modification of Diet in Renal Disease or CKD-EPI (based on serum creatinine (SrCr) or cystatin C), take into account parameters such as race, gender, weight. We compared several publications to determine the most effective dosing strategy for carboplatin. Methods: Utilizing PubMed, 19 articles were found with the keywords “carboplatin, dosing, eGFR, measure GFR, creatinine clearance, muscle mass.” Our inclusion criteria consisted of being published within the last 10 years, included carboplatin dosing, and evaluated either measured GFR, measured CrCl, carboplatin clearance or toxicities caused by carboplatin. Studies not meeting these parameters were excluded. Of the 19 articles, 11 articles were identified regarding the accuracy of eGFR and its effects on carboplatin dosing and/or dose limiting toxicities. An extensive literature review of each article was used to find a consensus among the clinical equations used in carboplatin dosing. Results: There remains no consensus on the most accurate eGFR equation. Eight studies evaluated accuracy of varying equations in estimating GFR, creatinine clearance or carboplatin clearance. Two studies created new equations (one measuring GFR and the other measuring CrCl) and compared them to current equations for accuracy. Ultimately, only two studies were in agreement that CKD-EPI was the most viable option when GFR uses SrCr. Based on four studies, CG is an inadequate measurement of eGFR. CG ranked low due to a high mean percent error when compared to measured GFR, indicating a larger discrepancy between measured GFR and the estimated value of CG, as compared to other equations. Three of the studies evaluated for a correlation in skeletal muscle mass and hematological toxicities, indicating that changes in muscle mass could correlate with hematological toxicities. One small study developed a new equation based on muscle mass and SrCr and showed positive results for accuracy when compared to measure CrCl. Conclusions: Although a definitive equation to estimate renal clearance could not be established, equations like CG have limited accuracy due to race, weight, age, and gender. The single study that utilized muscle mass demonstrated the most promise and presents a better option for patients, particularly when muscle mass changes over time. Other studies illustrated that muscle mass is significantly correlated with carboplatin toxicity and should be considered for future studies to determine the safest method for dosing carboplatin.