Similar articles for PMID: 30078107

Year	Number of Results
1992	1
1994	1
1995	2
1996	4
1998	1
1999	2
2000	1
2001	4
2002	8
2003	3
2004	6
2005	6
2006	7
2007	13
2008	13
2009	16
2010	10
2011	16
2012	9
2013	13
2014	19
2015	19
2016	10
2017	15
2018	18
2019	23
2020	31
2021	26
2022	20
2023	6
2024	1

1

Perioperative risk prediction in the era of enhanced recovery: a comparison of POSSUM, ACPGBI, and E-PASS scoring systems in major surgical procedures of the colorectal surgeon.

Bagnall NM, Pring ET, Malietzis G, Athanasiou T, Faiz OD, Kennedy RH, Jenkins JT. Bagnall NM, et al. Int J Colorectal Dis. 2018 Nov;33(11):1627-1634. doi: 10.1007/s00384-018-3141-4. Epub 2018 Aug 4. Int J Colorectal Dis. 2018. PMID: 30078107 Free PMC article.

2

Comparison of different scoring systems in patients undergoing colorectal cancer surgery for predicting mortality and morbidity.

Cengiz F, Kamer E, Zengel B, Uyar B, Tavusbay C, Unalp HR. Cengiz F, et al. Indian J Cancer. 2014 Oct-Dec;51(4):543-8. doi: 10.4103/0019-509X.175318. Indian J Cancer. 2014. PMID: 26842190 Free article.

3

Predictive value of POSSUM and ACPGBI scoring in mortality and morbidity of colorectal resection: a case-control study.

Teeuwen PH, Bremers AJ, Groenewoud JM, van Laarhoven CJ, Bleichrodt RP. Teeuwen PH, et al. J Gastrointest Surg. 2011 Feb;15(2):294-303. doi: 10.1007/s11605-010-1354-0. Epub 2010 Oct 9. J Gastrointest Surg. 2011. PMID: 20936370 Free PMC article.

4

Evaluating operative risk in colorectal cancer surgery: ASA and POSSUM-based predictive models.

Al-Homoud S, Purkayastha S, Aziz O, Smith JJ, Thompson MD, Darzi AW, Stamatakis JD, Tekkis PP. Al-Homoud S, et al. Surg Oncol. 2004 Aug-Nov;13(2-3):83-92. doi: 10.1016/j.suronc.2004.08.006. Surg Oncol. 2004. PMID: 15572090

5

Predictive value of the POSSUM, p-POSSUM, cr-POSSUM, APACHE II and ACPGBI scoring systems in colorectal cancer resection.

Yan J, Wang YX, Li ZP. Yan J, et al. J Int Med Res. 2011;39(4):1464-73. doi: 10.1177/147323001103900435. J Int Med Res. 2011. PMID: 21986149 Free article.

6

A newly devised scoring system for prediction of mortality in patients with colorectal cancer: a prospective study.

Ferjani AM, Griffin D, Stallard N, Wong LS. Ferjani AM, et al. Lancet Oncol. 2007 Apr;8(4):317-22. doi: 10.1016/S1470-2045(07)70045-1. Lancet Oncol. 2007. PMID: 17395105

7

Evaluation of CR-POSSUM, original ACPGBI and new ACPGBI scoring systems for colorectal cancer surgery.

Ozkan O, Guner A, Kaya U, Kece C, Reis E, Kesici S; -. Ozkan O, et al. Chirurgia (Bucur). 2014 Nov-Dec;109(6):800-5. Chirurgia (Bucur). 2014. PMID: 25560504 Free article.

8

Validation of the Surgical Outcome Risk Tool (SORT) for Predicting Postoperative Mortality in Colorectal Cancer Patients Undergoing Surgery and Subgroup Analysis.

Magouliotis DE, Walker D, Baloyiannis I, Fergadi MP, Mamaloudis I, Chasiotis G, Tzovaras GA. Magouliotis DE, et al. World J Surg. 2021 Jun;45(6):1940-1948. doi: 10.1007/s00268-021-06006-6. Epub 2021 Feb 18. World J Surg. 2021. PMID: 33604710

9

Comparison of the possum, P-POSSUM and Cr-POSSUM scoring systems as predictors of postoperative mortality in patients undergoing major colorectal surgery.

Vather R, Zargar-Shoshtari K, Adegbola S, Hill AG. Vather R, et al. ANZ J Surg. 2006 Sep;76(9):812-6. doi: 10.1111/j.1445-2197.2006.03875.x. ANZ J Surg. 2006. PMID: 16922904

10

Evaluation of the POSSUM, P-POSSUM and E-PASS scores in the surgical treatment of hilar cholangiocarcinoma.

Wang H, Wang H, Chen T, Liang X, Song Y, Wang J. Wang H, et al. World J Surg Oncol. 2014 Jun 24;12:191. doi: 10.1186/1477-7819-12-191. World J Surg Oncol. 2014. PMID: 24961847 Free PMC article.

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