In the version of this article originally published, there was an error in Table 1. “843 fetuses” should be replaced by “168 fetuses”. The corrected version of Table 1 is included below. The corrected part is underlined.

Table 1 . Incidence of variant origin of suprarenal arteries

Authors (year)	Population/region	No. and type of specimens	Variations
			Superior suprarenal arteries			Middle suprarenal arteries			Inferior suprarenal arteries
			R	L		R	L		R	L
Dobbie and Symington (1966) [16]	Scotland	20 autopsies of human adults, 50 adult patients	S: 100%			M: 100%			I: 100%
Lamarque et al. (1973) [14]	France	255 total aortography, 373 selective arteriography of suprarenal gland	S: 100%			-			I: 51.5% Iab: 48.5%	I: 44% Iab: 56%
Toni et al. (1988) [15]	Italy	100 abdominal angiographies	S: 92% SCT: 5% SAA: 3%	S: 79% SAA: 16% SIC: 3% SCT: 2%		M: 91% MCT: 4% MIP: 3% MRA: 2%	M: 99% MCT: 1%		I: 96% IPR: 2% IAA: 2%	I: 95% IAA: 5%
Bianchi and Ferrari (1991) [4]	Argentina	50 fetuses	S: 100%	S: 96% SCT: 4%		M: 68% MIP: 32%	M: 68% MIP: 20% MCT: 12%		I: 60% I+IGA: 12% ISPA: 4% ISPA+IGA: 12% IAA: 4% IGA: 4% IAGA: 4%	I: 40% IAA: 24% IGA: 8% I+IGA: 8% IAGA: 4% IGA+IAGA: 4% I+ISPA: 4% IAA+ISPA: 4% I SPA+IGA: 4%
Pityński et al. (1998) [3]	Poland	40 fetuses	S: 100%	S: 95% S+SAA: 5%		M: 32.5% MIP: 27.5% M+MIP: 15% MRA: 17.5% MGA: 7.5%	M: 47.5% MIP: 17.5% M+MSSA: 2.5% M+MIP: 22.5% MRA: 7.5% MGA: 2.5%		I: 55% I+IAA: 25% I+ISPA: 5% I+IGA: 7.5% I+IGA+IAA: 2.5% I+IAA+ISPA: 2.5% ISMA: 2.5%	I: 47.5% I+IAA: 32.5% I+ISPA: 2.5% I+IGA: 12.5% I+IGA+IAA: 10% I+IGA+ISPA: 5%
Manso and DiDio (2000) [12]	Brazil	30 pairs of suprarenal glands	S: 86.7% SCT: 6.7% SAA: 3.3% SAA+SISA: 3.3%	S: 83.3% SCT: 6.7% SAA: 10%		M: 53.3% MIP: 26.7% MSSA: 3.3% MISA: 6.7% MSMA: 3.3% MRA: 3.3% MCT: 3.3%	MAA: 46.7% MIP: 26.7% MSSA: 10.0% MISA: 6.7% MSMA: 3.3% MRA: 3.3% MCT: 3.3% MRA: 3.3%		I: 70% IAA: 26.7% IAA+ISSA: 3.3%	I: 50% IAA: 36.7% ISPA: 3.3% IIPA: 3.3% IGA: 6.6%
Yalçin et al. (2004) [29]	Turkey	25 years old female cadaver	-			MCT			I
Cimen et al. (2007) [30]	Turkey	45 years old male cadaver	-			MRA	M		I	-
Deepthinath et al. (2006) [31]	South Indian	45 years old male cadaver	-			MRA	MCT		I	-
Dutta (2010) [5]	North Indian	68 human cadavers	S: 100%	S: 76% SAA: 18% SSA: 6%		M: 53% MARA: 18% Absent: 29%	M: 94% MARA: 6%		I: 76% IGA: 18% IAA: 6%	I: 59% IGA: 6% Absent: 35%
Oztürk et al. (2010) [24]	Turkey	50 years old male cadaver	Absent			M			IAA
Jyothsna et al. (2012) [36]	South Indian	55 years old male cadaver	-			-			-	IAA
Chakravarthi (2014) [21]	South Indian	Middle-aged male cadaver	SAA	SAA		M	M		-	-
Sushma et al. (2014) [17]	South Indian	20 cadavers	S: 100%	S: 100%		M: 80% MRA: 10% MARA: 5% MIP: 5%	M: 90% MIP: 5% MCT: 5%		I: 90% IARA: 5% IIP: 5%	I: 90% IARA: 10%
Sarkar et al. (2014) [18]	Northeast India	54 years old male cadaver	S	SCT		M	Absent		I	I
Ahmed et al. (2015) [20]	South Indian	25 adult and 50 fetal cadavers	S: 88% Sab: 12%			M: 93.34% Mab: 6.66%			I: 93.34% Iab: 6.66%
Lakshmi and Dhoot (2016) [6]	North Indian	15 adult human cadavers	S: 100%	S: 100%		M: 83.33% MARA: 13.33% MRA: 3.33%	M: 96.66% MCT: 3.33%		I: 83.33% IARA: 16.66%	I: 66.66% IARA: 33.33%
Shanthakumar et al. (2016) [19]	South Indian	58 years old male cadaver	S	-		M	-		I	IGA
Olewnik et al. (2018) [22]	Poland	64 years old male cadaver	SRA			Absent			I
Greeff et al. (2019) [27]	South African	50 fetuses	S: 98% Absent: 2%	S: 98% Absent: 2%		M: 18% MRA: 62% Absent: 20%	M: 34% MRA: 26% Absent: 40%		I: 90% IAA: 10%	I: 92% IAA: 6% IARA: 2%
Vinitha and Parthasarathy (2020) [37]	South Indian	48 cadavers	S: 81.33% SAA: 16.67% SCT: 2%			M: 98% Absent: 2%			I: 98% IAA: 2%
Xu et al. (2020) [42]	Chinese	168 fetuses	-			M: 89.2% Absent: 10.79%			-
South Indiana)		147	S: 86.8% SAA: 6.2% SCT: 0.8% Sab: 6.2%			M: 92.8% Mabsent: 0.7% MAB: 3.4% MRA: 1% MARA: 0.3% MCT: 0.7% MIP: 0.7%			I: 92.9% IAA: 1% IARA: 10.2% IIP: 0.3% Iab: 3.4% IGA: 0.3%
North Indianb)		83	S: 90.4% SAA: 7.2% SSA: 2.4%			M: 76% MARA: 11% MCT: 0.4% MRA: 0.4% Absent: 12%			I: 73.5% IGA: 9.7% IAA: 2.4% IARA: 4.7% Iabsent: 9.7%
Caucasiansc)		919	S: 97.5% SAA: 1.3% SCT: 0.8% SIC: 0.1% SAA+SISA: 0.1% S+SAA: 0.1% SRA: 0.1%			M: 93.5% Mabsent: 0.1% MIP: 3.4% MSSA: 0.2% MISA: 0.2% MSMA: 0.1% MRA: 0.7% MCT: 0.7% M+MSSA: 0.1% M+MIP: 0.8% MGA: 0.2%			I: 57.7% Iab: 35.7% IIPA: 0.05% IPR: 0.1% IAA: 2.06% I+IGA: 0.9% ISPA: 0.2% IGA: 0.4% ISPA+IGA: 0.4% IAGA: 0.2% IGA+IAGA: 0.1% I+ISPA: 0.3% IAA+ISSA: 0.1% I+IAA: 1.3% I+ISSA: 0.05% I+IGA+IAA: 0.2% I+IAA+ISPA: 0.05% I+IGA+ISPA: 0.1%
Turkishd)		3	S: 66.7% Absent: 33.3%			M: 66.7% MCT: 33.3% MRA: 33.3%			I: 66.7% IAA: 33.3%

The subscript in the table is denoting the origin of the respective arteries: ab, abnormal origin; AA, abdominal aorta; CT, coeliac trunk; IC, intercostal artery; IP, inferior phrenic artery; RA, renal artery; PR, polar renal artery; GA, gonadal artery; SPA, superior polar artery; AGA, accessory gonadal artery; SMA, superior mesenteric artery; ISA, inferior suprarenal artery; SSA, superior suprarenal artery; IPA, inferior polar artery; SA, splenic artery; ARA, accessory renal artery. ^a)Average results for the South Indian population include Deepthinath et al. (2006) [31], Jyothsna et al. (2012) [36], Chakravarthi (2014) [21], Sushma et al. (2014) [17], Ahmed et al. (2015) [20], Shanthakumar et al. (2016) [19], Vinitha and Parthasarathy (2020) [37]. ^b)Average results for North Indian population include Dutta (2010) [5], Lakshmi and Dhoot (2016) [6]. ^c)Average results for Caucasian population include Dobbie and Symington (1966) [16], Lamarque et al. (1973) [14], Toni et al. (1988) [15], Bianchi and Ferrari (1991) [4], Pityński et al. (1998) [3], Manso and DiDio (2000) [12], Olewnik et al. (2018) [22]. ^d)Average results for Turkish population includes Yalçin et al. (2004) [29], Cimen et al. (2007) [30], Oztürk et al. (2010) [24]. R, right; L, left; S, normal origin of superior suprarenal artery; M, normal origin of middle suprarenal artery; I, normal origin of inferior suprarenal artery.

We apologize for our mistake and any inconvenience this may have caused.