Literature DB >> 21871792

Variation in surgical resection for lung cancer in relation to survival: population-based study in England 2004-2006.

Sharma P Riaz1, Margreet Lüchtenborg, Ruth H Jack, Victoria H Coupland, Karen M Linklater, Michael D Peake, Henrik Møller.   

Abstract

BACKGROUND: Compared with some European countries, England has low lung cancer survival and low use of surgical resection for lung cancer. The use of surgical resection varies within England. We assessed the relationship between surgical resection rate and the survival of lung cancer patients in England.
METHODS: We extracted data on 77,349 non-small cell lung cancer (NSCLC) patients diagnosed between 2004 and 2006 from the English National Cancer Repository Dataset. We calculated the frequency of surgical resection by age, socio-economic deprivation and geographical area. We used Cox regression to compute mortality hazard ratios according to quintiles of frequency of surgical resection amongst all 77,349 lung cancer patients, and separately for the 6900 patients who underwent surgical resection.
RESULTS: We found large geographical variation in the surgical resection rate for NSCLC in PCT areas (3-18%). A high frequency of resection was strongly inversely associated with overall mortality (HR 0.88, 95% CI 0.86-0.91 for the highest compared to the lowest resection quintile) and only moderately associated with mortality amongst the resected patients (HR 1.15, 95% CI 0.98-1.36). Compared to the highest resection quintile, 5420 deaths could be delayed in the overall NSCLC group, whereas about 146 more deaths could be expected amongst the resected patients.
CONCLUSION: The differences in the magnitudes of both the hazard ratios and the absolute excess deaths within resected patients and all NSCLC patients suggests that lung cancer survival in England could plausibly increase if a larger proportion of patients underwent surgical resection. Carefully designed research into the possible benefit of increasing resection rates is indicated.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21871792     DOI: 10.1016/j.ejca.2011.07.012

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  21 in total

Review 1.  [Molecular pathological diagnosis in cytopathology of non-small-cell lung cancer. Standardization of specimen processing].

Authors:  A Warth; L Bubendorf; S Gütz; A Morresi-Hauf; M Hummel; K Junker; U Lehmann; I Petersen; P A Schnabel
Journal:  Pathologe       Date:  2013-07       Impact factor: 1.011

2.  Women have a higher resection rate for lung cancer and improved survival after surgery.

Authors:  Anna Lautamäki; Jarmo Gunn; Jussi Sipilä; Päivi Rautava; Eero Sihvo; Ville Kytö
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-05-27

3.  Social differences in lung cancer management and survival in South East England: a cohort study.

Authors:  Anders Berglund; Mats Lambe; Margreet Lüchtenborg; Karen Linklater; Michael D Peake; Lars Holmberg; Henrik Møller
Journal:  BMJ Open       Date:  2012-05-25       Impact factor: 2.692

4.  The impact of age at diagnosis on socioeconomic inequalities in adult cancer survival in England.

Authors:  Ula Nur; Georgios Lyratzopoulos; Bernard Rachet; Michel P Coleman
Journal:  Cancer Epidemiol       Date:  2015-07-02       Impact factor: 2.984

5.  Inequalities in non-small cell lung cancer treatment and mortality.

Authors:  Ula Nur; Manuela Quaresma; Bianca De Stavola; Michael Peake; Bernard Rachet
Journal:  J Epidemiol Community Health       Date:  2015-06-05       Impact factor: 3.710

6.  Lung cancer survival in England: trends in non-small-cell lung cancer survival over the duration of the National Lung Cancer Audit.

Authors:  A Khakwani; A L Rich; H A Powell; L J Tata; R A Stanley; D R Baldwin; J P Duffy; R B Hubbard
Journal:  Br J Cancer       Date:  2013-09-19       Impact factor: 7.640

7.  Long term survival with thoracoscopic versus open lobectomy: propensity matched comparative analysis using SEER-Medicare database.

Authors:  Subroto Paul; Abby J Isaacs; Tom Treasure; Nasser K Altorki; Art Sedrakyan
Journal:  BMJ       Date:  2014-10-02

8.  An evaluation of the impact of large-scale interventions to raise public awareness of a lung cancer symptom.

Authors:  L Ironmonger; E Ohuma; N Ormiston-Smith; C Gildea; C S Thomson; M D Peake
Journal:  Br J Cancer       Date:  2014-12-02       Impact factor: 7.640

Review 9.  Socioeconomic inequalities in lung cancer treatment: systematic review and meta-analysis.

Authors:  Lynne F Forrest; Jean Adams; Helen Wareham; Greg Rubin; Martin White
Journal:  PLoS Med       Date:  2013-02-05       Impact factor: 11.069

10.  Bayesian networks for clinical decision support in lung cancer care.

Authors:  M Berkan Sesen; Ann E Nicholson; Rene Banares-Alcantara; Timor Kadir; Michael Brady
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

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