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Published in: BMC Medical Research Methodology 1/2014

Open Access 01-12-2014 | Research article

Mediation analysis of the relationship between institutional research activity and patient survival

Authors: Justine Rochon, Andreas du Bois, Theis Lange

Published in: BMC Medical Research Methodology | Issue 1/2014

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Abstract

Background

Recent studies have suggested that patients treated in research-active institutions have better outcomes than patients treated in research-inactive institutions. However, little attention has been paid to explaining such effects, probably because techniques for mediation analysis existing so far have not been applicable to survival data.

Methods

We investigated the underlying mechanisms using a recently developed method for mediation analysis of survival data. Our analysis of the effect of research activity on patient survival was based on 352 patients who had been diagnosed with advanced ovarian cancer at 149 hospitals in 2001. All hospitals took part in a quality assurance program of the German Cancer Society. Patient outcomes were compared between hospitals participating in clinical trials and non-trial hospitals. Surgical outcome and chemotherapy selection were explored as potential mediators of the effect of hospital research activity on patient survival.

Results

The 219 patients treated in hospitals participating in clinical trials had more complete surgical debulking, were more likely to receive the recommended platinum-taxane combination, and had better survival than the 133 patients treated in non-trial hospitals. Taking into account baseline confounders, the overall adjusted hazard ratio of death was 0.58 (95% confidence interval: 0.42 to 0.79). This effect was decomposed into a direct effect of research activity of 0.67 and two indirect effects of 0.93 each mediated through either optimal surgery or chemotherapy. Taken together, about 26% of the beneficial effect of research activity was mediated through the proposed pathways.

Conclusions

Mediation analysis allows proceeding from the question “Does it work?” to the question “How does it work?” In particular, we have shown that the research activity of a hospital contributes to superior patient survival through better use of surgery and chemotherapy. This methodology may be applied to analyze direct and indirect natural effects for almost any combination of variable types.
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Literature
1.
go back to reference Braunholtz DA, Edwards SJ, Lilford RJ: Are randomized clinical trials good for us (in the short term)? Evidence for a ‘trial effect’. J Clin Epidemiol. 2001, 54: 217-224. 10.1016/S0895-4356(00)00305-X.CrossRefPubMed Braunholtz DA, Edwards SJ, Lilford RJ: Are randomized clinical trials good for us (in the short term)? Evidence for a ‘trial effect’. J Clin Epidemiol. 2001, 54: 217-224. 10.1016/S0895-4356(00)00305-X.CrossRefPubMed
2.
go back to reference Peppercorn JM, Weeks JC, Cook EF, Joffe S: Comparison of outcomes in cancer patients treated within and outside clinical trials: conceptual framework and structured review. Lancet. 2004, 363: 263-270. 10.1016/S0140-6736(03)15383-4.CrossRefPubMed Peppercorn JM, Weeks JC, Cook EF, Joffe S: Comparison of outcomes in cancer patients treated within and outside clinical trials: conceptual framework and structured review. Lancet. 2004, 363: 263-270. 10.1016/S0140-6736(03)15383-4.CrossRefPubMed
3.
go back to reference Vist GE, Bryant D, Somerville L, et al: Outcomes of patients who participate in randomized controlled trials compared to similar patients receiving similar interventions who do not participate. Cochrane Database Syst Rev. 2008, 3: MR000009 Vist GE, Bryant D, Somerville L, et al: Outcomes of patients who participate in randomized controlled trials compared to similar patients receiving similar interventions who do not participate. Cochrane Database Syst Rev. 2008, 3: MR000009
4.
go back to reference Selby P, Autier P: The impact of the process of clinical research on health service outcomes. Ann Oncol. 2011, 22 (Suppl 7): vii5-vii9.CrossRefPubMed Selby P, Autier P: The impact of the process of clinical research on health service outcomes. Ann Oncol. 2011, 22 (Suppl 7): vii5-vii9.CrossRefPubMed
5.
go back to reference Pater J, Rochon J, Parmar M, Selby P: Future research and methodological approaches. Ann Oncol. 2011, 22 (Suppl 7): vii57-vii61.CrossRefPubMed Pater J, Rochon J, Parmar M, Selby P: Future research and methodological approaches. Ann Oncol. 2011, 22 (Suppl 7): vii57-vii61.CrossRefPubMed
6.
go back to reference Clarke M, Loudon K: Effects on patients of their healthcare practitioner’s or institution’s participation in clinical trials: a systematic review. Trials. 2011, 12: 16-10.1186/1745-6215-12-16.CrossRefPubMedPubMedCentral Clarke M, Loudon K: Effects on patients of their healthcare practitioner’s or institution’s participation in clinical trials: a systematic review. Trials. 2011, 12: 16-10.1186/1745-6215-12-16.CrossRefPubMedPubMedCentral
7.
go back to reference Baron RM, Kenny DA: The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986, 51: 1173-1182.CrossRefPubMed Baron RM, Kenny DA: The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986, 51: 1173-1182.CrossRefPubMed
8.
go back to reference Robins JM, Greenland S: Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992, 3: 143-155. 10.1097/00001648-199203000-00013.CrossRefPubMed Robins JM, Greenland S: Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992, 3: 143-155. 10.1097/00001648-199203000-00013.CrossRefPubMed
9.
go back to reference Hafeman DM, Schwartz S: Opening the Black Box: a motivation for the assessment of mediation. Int J Epidemiol. 2009, 38: 838-845. 10.1093/ije/dyn372.CrossRefPubMed Hafeman DM, Schwartz S: Opening the Black Box: a motivation for the assessment of mediation. Int J Epidemiol. 2009, 38: 838-845. 10.1093/ije/dyn372.CrossRefPubMed
10.
go back to reference Cole SR, Hernán MA: Fallibility in estimating direct effects. Int J Epidemiol. 2002, 31: 163-165. 10.1093/ije/31.1.163.CrossRefPubMed Cole SR, Hernán MA: Fallibility in estimating direct effects. Int J Epidemiol. 2002, 31: 163-165. 10.1093/ije/31.1.163.CrossRefPubMed
11.
go back to reference Kaufman JS, Maclehose RF, Kaufman S: A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation. Epidemiol Perspect Innov. 2004, 1: 4-10.1186/1742-5573-1-4.CrossRefPubMedPubMedCentral Kaufman JS, Maclehose RF, Kaufman S: A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation. Epidemiol Perspect Innov. 2004, 1: 4-10.1186/1742-5573-1-4.CrossRefPubMedPubMedCentral
13.
go back to reference du Bois A, Rochon J, Lamparter C, Pfisterer J: Pattern of care and impact of participation in clinical studies on the outcome in ovarian cancer. Int J Gynecol Cancer. 2005, 15: 183-191. 10.1111/j.1525-1438.2005.15202.x.CrossRefPubMed du Bois A, Rochon J, Lamparter C, Pfisterer J: Pattern of care and impact of participation in clinical studies on the outcome in ovarian cancer. Int J Gynecol Cancer. 2005, 15: 183-191. 10.1111/j.1525-1438.2005.15202.x.CrossRefPubMed
14.
go back to reference Rochon J, du Bois A: Clinical research in epithelial ovarian cancer and patients’ outcome. Ann Oncol. 2011, 22 (Suppl 7): vii16-vii19.CrossRefPubMed Rochon J, du Bois A: Clinical research in epithelial ovarian cancer and patients’ outcome. Ann Oncol. 2011, 22 (Suppl 7): vii16-vii19.CrossRefPubMed
15.
go back to reference Bauknecht T, Breitbach GP, du Bois A, et al: Maligne Ovarialtumoren. Diagnose und Therapie maligner Erkrankungen. Kurzgefasste interdisziplinaere Leitlinien. Edited by: Hermanek P. 2000, Muenchen: Zuckschwerdt Verlag, 301-318. Bauknecht T, Breitbach GP, du Bois A, et al: Maligne Ovarialtumoren. Diagnose und Therapie maligner Erkrankungen. Kurzgefasste interdisziplinaere Leitlinien. Edited by: Hermanek P. 2000, Muenchen: Zuckschwerdt Verlag, 301-318.
16.
go back to reference R Core Team: R: A language and environment for statistical computing. 2013, Vienna, Austria: R Foundation for Statistical Computing R Core Team: R: A language and environment for statistical computing. 2013, Vienna, Austria: R Foundation for Statistical Computing
17.
go back to reference Lange T, Vansteelandt S, Bekaert M: A simple unified approach for estimating natural direct and indirect effects. Am J Epidemiol. 2012, 176: 190-195. 10.1093/aje/kwr525.CrossRefPubMed Lange T, Vansteelandt S, Bekaert M: A simple unified approach for estimating natural direct and indirect effects. Am J Epidemiol. 2012, 176: 190-195. 10.1093/aje/kwr525.CrossRefPubMed
18.
go back to reference Pearl J: Causality: Models, Reasoning, and Inference. 2009, New York, NY: Cambridge University PressCrossRef Pearl J: Causality: Models, Reasoning, and Inference. 2009, New York, NY: Cambridge University PressCrossRef
19.
go back to reference Lange T, Rasmussen M, Thygesen LC: Assessing natural direct and indirect effects through multiple pathways. Am J Epidemiol. 2014, 179: 513-518. 10.1093/aje/kwt270.CrossRefPubMed Lange T, Rasmussen M, Thygesen LC: Assessing natural direct and indirect effects through multiple pathways. Am J Epidemiol. 2014, 179: 513-518. 10.1093/aje/kwt270.CrossRefPubMed
20.
go back to reference Pfisterer J, Weber B, Reuss A, et al: Randomized phase III trial of topotecan following carboplatin and paclitaxel in first-line treatment of advanced ovarian cancer: A gynecologic cancer intergroup trial of the AGO-OVAR and GINECO. J Natl Cancer Inst. 2006, 98: 1036-1045. 10.1093/jnci/djj296.CrossRefPubMed Pfisterer J, Weber B, Reuss A, et al: Randomized phase III trial of topotecan following carboplatin and paclitaxel in first-line treatment of advanced ovarian cancer: A gynecologic cancer intergroup trial of the AGO-OVAR and GINECO. J Natl Cancer Inst. 2006, 98: 1036-1045. 10.1093/jnci/djj296.CrossRefPubMed
21.
go back to reference Krzyzanowska MK, Kaplan R, Sullivan R: How may clinical research improve healthcare outcomes?. Ann Oncol. 2011, 22 (Suppl 7): vii10-vii15.CrossRefPubMed Krzyzanowska MK, Kaplan R, Sullivan R: How may clinical research improve healthcare outcomes?. Ann Oncol. 2011, 22 (Suppl 7): vii10-vii15.CrossRefPubMed
22.
go back to reference Thigpen T, Brady MF, Omura GA, et al: Age as a prognostic factor in ovarian carcinoma. The Gynecologic Oncology Group experience. Cancer. 1993, 71 (2 Suppl): 606-614.PubMed Thigpen T, Brady MF, Omura GA, et al: Age as a prognostic factor in ovarian carcinoma. The Gynecologic Oncology Group experience. Cancer. 1993, 71 (2 Suppl): 606-614.PubMed
24.
go back to reference Sperling C, Noer MC, Christensen IJ, et al: Comorbidity is an independent prognostic factor for the survival of ovarian cancer: a Danish register-based cohort study from a clinical database. Gynecol Oncol. 2013, 129: 97-102. 10.1016/j.ygyno.2012.12.039.CrossRefPubMed Sperling C, Noer MC, Christensen IJ, et al: Comorbidity is an independent prognostic factor for the survival of ovarian cancer: a Danish register-based cohort study from a clinical database. Gynecol Oncol. 2013, 129: 97-102. 10.1016/j.ygyno.2012.12.039.CrossRefPubMed
25.
go back to reference Sugiyama VE, Shin JY, Kapp DS, et al: The effect of socioeconomic status on the survival of ovarian cancer patients. J Clin Oncol. 2008, 26 (Suppl): 5557- Sugiyama VE, Shin JY, Kapp DS, et al: The effect of socioeconomic status on the survival of ovarian cancer patients. J Clin Oncol. 2008, 26 (Suppl): 5557-
26.
go back to reference Bristow RE, Powell MA, Al-Hammadi N, et al: Disparities in ovarian cancer care quality and survival according to race and socioeconomic status. J Natl Canc Inst. 2013, 105: 823-832. 10.1093/jnci/djt065.CrossRef Bristow RE, Powell MA, Al-Hammadi N, et al: Disparities in ovarian cancer care quality and survival according to race and socioeconomic status. J Natl Canc Inst. 2013, 105: 823-832. 10.1093/jnci/djt065.CrossRef
Metadata
Title
Mediation analysis of the relationship between institutional research activity and patient survival
Authors
Justine Rochon
Andreas du Bois
Theis Lange
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2014
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/1471-2288-14-9

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