Literature DB >> 1855097

How to avoid bias when comparing bone marrow transplantation with chemotherapy.

R Gray1, K Wheatley.   

Abstract

It is important to know whether the survival of patients receiving an allogeneic bone marrow transplant (BMT) is better than that of patients receiving "conventional" treatment and, if BMT is better, to know how much better. Unfortunately, this information is surprisingly difficult to obtain accurately. Most studies that have attempted to define the value of BMT have been subject to varying degrees of bias because of the problems of identifying a "conventional chemotherapy" control group with which the outcome of patients who have received BMTs can be compared. A common bias arises when disease-free survival of BMT patients is compared with that of all other remitters. Early failures are then automatically assigned to the chemotherapy group even if they have donors and so would have gone on to a BMT had they not relapsed or died. Since some patients receive BMTs many months (or even years) after achieving remission-when their prognosis is already much improved-the definition of "early failure" is problematic. Nevertheless, although it is very rarely used, an adequate statistical method does exist to overcome this problem. Careful analysis cannot, however, overcome the problem of selection bias: patients selected for BMT are likely to have better (or worse) prognosis than patients who are treated conventionally. The only really satisfactory way of assessing the value of BMT is to conduct randomised trials comparing BMT with no BMT - or with extra chemotherapy. Several such studies are currently being undertaken assessing the role of autologous BMT in AML.(ABSTRACT TRUNCATED AT 250 WORDS)

Entities:  

Mesh:

Year:  1991        PMID: 1855097

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


  34 in total

1.  A Bayesian approach for instrumental variable analysis with censored time-to-event outcome.

Authors:  Gang Li; Xuyang Lu
Journal:  Stat Med       Date:  2014-11-13       Impact factor: 2.373

Review 2.  Adding Mendelian randomization to a meta-analysis-a burgeoning opportunity.

Authors:  Wenquan Niu; Mingliang Gu
Journal:  Tumour Biol       Date:  2015-12-22

3.  Who should be transplanted in first remission of acute myeloid leukaemia?

Authors:  Alan K Burnett; Robert K Hills
Journal:  Curr Treat Options Oncol       Date:  2011-12

Review 4.  Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?

Authors:  Shah Ebrahim; George Davey Smith
Journal:  Hum Genet       Date:  2007-11-23       Impact factor: 4.132

Review 5.  Capitalizing on Mendelian randomization to assess the effects of treatments.

Authors:  George Davey Smith
Journal:  J R Soc Med       Date:  2007-09       Impact factor: 5.344

6.  Mendelian randomization: loosening the Gordian knot of testosterone and male ageing.

Authors:  David J Handelsman
Journal:  Asian J Androl       Date:  2013-06-17       Impact factor: 3.285

Review 7.  Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases.

Authors:  Yan V Sun; Yi-Juan Hu
Journal:  Adv Genet       Date:  2016-01-25       Impact factor: 1.944

Review 8.  Genetics of human cardiovascular disease.

Authors:  Sekar Kathiresan; Deepak Srivastava
Journal:  Cell       Date:  2012-03-16       Impact factor: 41.582

Review 9.  Lipoprotein (a) as a cause of cardiovascular disease: insights from epidemiology, genetics, and biology.

Authors:  Børge G Nordestgaard; Anne Langsted
Journal:  J Lipid Res       Date:  2016-09-27       Impact factor: 5.922

10.  Dissecting the relationship between high-sensitivity serum C-reactive protein and increased fracture risk: the Rotterdam Study.

Authors:  L Oei; N Campos-Obando; A Dehghan; E H G Oei; L Stolk; J B J van Meurs; A Hofman; A G Uitterlinden; O H Franco; M C Zillikens; F Rivadeneira
Journal:  Osteoporos Int       Date:  2013-12-13       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.