Literature DB >> 15878259

Influence of hospital volume on local recurrence and survival in a population sample of rectal cancer patients.

J Engel1, J Kerr, R Eckel, B Günther, M Heiss, W Heitland, J R Siewert, K-W Jauch, D Hölzel.   

Abstract

AIMS: To investigate the role of hospital volume and individual hospitals on long term outcomes (local recurrence and survival) of rectal cancer patients.
METHODS: One thousand thirty-eight patients with rectal cancer were diagnosed between 1996 and 1998. From these, we analysed 884 patients with a resected invasive primary rectal cancer. Median follow-up was 5.7 years. The impact of hospital volume (<10, 10-30 and >30 rectal cancer patients annually) on local recurrence and survival was examined in a Cox model. Differences between the four largest clinics in the high volume group were also investigated.
RESULTS: In the multivariate model predicting survival the following variables were significant: UICC stage, grade, age, local recurrence, and (neo-) adjuvant therapy treatment. In the multivariate model predicting local recurrence UICC stage, tumour localisation, and neoadjuvant therapy treatment were significant variables. Hospital volume was not a significant factor for survival or local recurrence. Within the high volume category one hospital showed significantly worse local recurrence rates than all other hospitals, but no survival difference could be seen between the four largest hospitals of the high volume group.
CONCLUSIONS: This analysis of a rectal cancer population found that hospital volume did not determine survival or local recurrence. Detailed clinical data with long term follow-up from cancer registries are vital to demonstrate the quality of routine care.

Entities:  

Mesh:

Year:  2005        PMID: 15878259     DOI: 10.1016/j.ejso.2005.02.027

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  13 in total

1.  Increased use of multidisciplinary treatment modalities adds little to the outcome of rectal cancer treated by optimal total mesorectal excision.

Authors:  Kah Hoong Chang; Myles J Smith; Oliver J McAnena; Arifin S Aprjanto; Joe F Dowdall
Journal:  Int J Colorectal Dis       Date:  2012-03-08       Impact factor: 2.571

2.  Systematic review and a meta-analysis of hospital and surgeon volume/outcome relationships in colorectal cancer surgery.

Authors:  Ya Ruth Huo; Kevin Phan; David L Morris; Winston Liauw
Journal:  J Gastrointest Oncol       Date:  2017-06

3.  Has the minimum caseload requirement failed? Strategic planning in the hospital sector requires input from elected political representatives.

Authors:  Karl-Walter Jauch
Journal:  Dtsch Arztebl Int       Date:  2014-08-18       Impact factor: 5.594

Review 4.  Centralisation of services for gynaecological cancer.

Authors:  Yin Ling Woo; Maria Kyrgiou; Andrew Bryant; Thomas Everett; Heather O Dickinson
Journal:  Cochrane Database Syst Rev       Date:  2012-03-14

Review 5.  [Intra-operative local tumor cell dissemination in rectal carcinoma surgery: effect of operation principles and neoadjuvant therapy].

Authors:  S Merkel; W Hohenberger; P Hermanek
Journal:  Chirurg       Date:  2010-08       Impact factor: 0.955

Review 6.  Rectal cancer surgery: volume-outcome analysis.

Authors:  Emmeline Nugent; Paul Neary
Journal:  Int J Colorectal Dis       Date:  2010-07-27       Impact factor: 2.571

Review 7.  The effect of hospital and surgeon volume on outcomes for rectal cancer surgery.

Authors:  Talya Salz; Robert S Sandler
Journal:  Clin Gastroenterol Hepatol       Date:  2008-10-01       Impact factor: 11.382

8.  The influence of hospital volume on long-term oncological outcome after rectal cancer surgery.

Authors:  Frederik H W Jonker; Jan A W Hagemans; Jacobus W A Burger; Cornelis Verhoef; Wernard A A Borstlap; Pieter J Tanis
Journal:  Int J Colorectal Dis       Date:  2017-09-07       Impact factor: 2.571

9.  Clinical competence in the surgery of rectal cancer: the Italian Consensus Conference.

Authors:  Micaela Piccoli; Piccoli Micaela; Ferdinando Agresta; Agresta Ferdinando; Vincenzo Trapani; Trapani Vincenzo; Casimiro Nigro; Nigro Casimiro; Vito Pende; Pende Vito; Fabio Cesare Campanile; Campanile Fabio Cesare; Nereo Vettoretto; Vettoretto Nereo; Enrico Belluco; Belluco Enrico; Paolo Pietro Bianchi; Bianchi Pietro Paolo; Davide Cavaliere; Cavaliere Davide; Giuseppe Ferulano; Ferulano Giuseppe; Filippo La Torre; La Torre Filippo; Marco Maria Lirici; Lirici Marco Maria; Roberto Rea; Rea Roberto; Gianni Ricco; Ricco Gianni; Elena Orsenigo; Orsenigo Elena; Simona Barlera; Barlera Simona; Emanuele Lettieri; Lettieri Emanuele; Giovanni Maria Romano; Romano Giovanni Maria
Journal:  Int J Colorectal Dis       Date:  2014-05-13       Impact factor: 2.571

10.  A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects.

Authors:  Volkmar Henschel; Jutta Engel; Dieter Hölzel; Ulrich Mansmann
Journal:  BMC Med Res Methodol       Date:  2009-02-10       Impact factor: 4.615

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.