Systematic review of statistical methods used in molecular marker studies in cancer

PURPOSE To evaluate the significance of molecular marker-positive cells in a cohort of non-Hodgkin's lymphoma (NHL) patients undergoing high-dose chemotherapy and autologous peripheral-blood stem-cell transplantation (PBSCT). PATIENTS AND METHODS Twenty-eight PBSC transplants have been performed in 24 patients with poor-prognosis NHL. Molecular analysis of the t(14;18) (q32;q21) translocation (bcl-2/immunoglobulin [Ig] heavy-chain joining locus [JH] fusion) or antigen receptor gene rearrangements was performed to determine the presence of lymphoma cells at presentation, in PBSC harvests, and before and after autologous PBSCT. Kaplan-Meier estimates of survival and Cox regression analyses were used to test the effect of bone marrow involvement, tumor-cell contamination of PBSCs, disease stage, and chemotherapy sensitivity at transplantation, and presence of marker-positive cells post-PBSCT on disease-free and overall survival. RESULTS Thirteen of 24 patients (54%) are alive following PBSCT at a median follow-up time of 654 days (range, 193 to 1,908). Nine patients are in complete remission (CR) at day 216 to 1,799 (median, 805) and four are alive following relapse (day 440, 573, 1,188, and 1,908). Eleven patients (46%) have died: three of transplant-related complications at day 0, 1, and 13, and eight of recurrent disease (day 132 to 1,330; median, 451). Longitudinal marker studies post-PBSCT showed that of 16 relapse events, 13 (81%) were positive for the lymphoma marker at or before clinically documented relapse. Marker studies became negative post-PBSCT in nine of nine patients who entered and remained in CR. Disease-free survival (DFS) was significantly shortened in patients in whom marker-positive cells were detected in serial samples posttransplantation (P = .006). Cox regression analysis showed that patients in this group had a 24 times higher risk of relapse (P = .03). CONCLUSION The results show that the reappearance or persistence of marker-positive cells after autologous PBSCT is strongly associated with relapse.

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Systematic review of statistical methods for safety data in malaria chemoprevention in pregnancy trials

Malaria Journal ◽

10.1186/s12936-020-03190-z ◽

2020 ◽

Vol 19 (1) ◽

Cited By ~ 4

Author(s):

Noel Patson ◽

Mavuto Mukaka ◽

Kennedy N. Otwombe ◽

Lawrence Kazembe ◽

Don P. Mathanga ◽

...

Keyword(s):

Systematic Review ◽

Statistical Methods ◽

Safety Data ◽

In Pregnancy

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Association of the food environment with obesity: a systematic review of geographical and statistical methods

The Lancet ◽

10.1016/s0140-6736(16)32325-x ◽

2016 ◽

Vol 388 ◽

pp. S89 ◽

Cited By ~ 1

Author(s):

Elisa Pineda ◽

Jennifer Mindell

Keyword(s):

Systematic Review ◽

Statistical Methods ◽

Food Environment

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MP46-12 STATISTICAL METHODS IN RANDOMIZED CONTROLLED TRIALS IN THE UROLOGICAL LITERATURE: A SYSTEMATIC REVIEW

The Journal of Urology ◽

10.1016/j.juro.2016.02.310 ◽

2016 ◽

Vol 195 (4S) ◽

Author(s):

Eugene B Cone ◽

Vikram Narayan ◽

Daniel Smith ◽

Philip Dahm ◽

Charles D Scales

Keyword(s):

Systematic Review ◽

Randomized Controlled Trials ◽

Statistical Methods ◽

Controlled Trials ◽

Randomized Controlled

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A systematic review of statistical methods used in constructing pediatric reference intervals

Clinical Biochemistry ◽

10.1016/j.clinbiochem.2013.05.058 ◽

2013 ◽

Vol 46 (13-14) ◽

pp. 1220-1227 ◽

Cited By ~ 23

Author(s):

Caitlin H. Daly ◽

Xiaofeng Liu ◽

Vijay L. Grey ◽

Jemila S. Hamid

Keyword(s):

Systematic Review ◽

Statistical Methods ◽

Reference Intervals

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Heterotic grouping and patterning of quality protein maize inbreds based on genetic and molecular marker studies

TURKISH JOURNAL OF BIOLOGY ◽

10.3906/biy-1303-6 ◽

2014 ◽

Vol 38 ◽

pp. 10-20 ◽

Cited By ~ 1

Author(s):

Ambika RAJENDRAN ◽

Arunachalam MUTHIAH ◽

John JOEL ◽

Ponnusamy SHANMUGASUNDARAM ◽

Dhandapani RAJU

Keyword(s):

Molecular Marker ◽

Quality Protein Maize ◽

Heterotic Grouping ◽

Marker Studies ◽

Maize Inbreds

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QTL analysis of wheat quality traits

Acta Agronomica Hungarica ◽

10.1556/aagr.50.2002.3.3 ◽

2002 ◽

Vol 50 (3) ◽

pp. 249-262 ◽

Cited By ~ 1

Author(s):

F. Bekes ◽

W. Ma ◽

K. Gale

Keyword(s):

Molecular Marker ◽

Molecular Genetics ◽

Statistical Methods ◽

Qtl Analysis ◽

Wheat Quality ◽

Quality Traits ◽

Research Activity ◽

Cereal Chemistry

This paper aims to give an overview on the different aspects of QTL analysis of quality traits of wheat through the brief introduction of molecular genetics, cereal chemistry and the statistical methods developed and applied recently in this area. Some examples are also provided, based on the author's research activity carried out in the National Wheat Molecular Marker Program (NWMMP) established in Australia in 1996.

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Statistical methods for dementia risk prediction and recommendations for future work: A systematic review

Alzheimer s & Dementia Translational Research & Clinical Interventions ◽

10.1016/j.trci.2019.08.001 ◽

2019 ◽

Vol 5 (1) ◽

pp. 563-569 ◽

Cited By ~ 3

Author(s):

Jantje Goerdten ◽

Iva Čukić ◽

Samuel O. Danso ◽

Isabelle Carrière ◽

Graciela Muniz‐Terrera

Keyword(s):

Systematic Review ◽

Statistical Methods ◽

Risk Prediction ◽

Dementia Risk ◽

Future Work

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Systematic review of statistical methods for analyzing healthcare cost in administrative data

10.21203/rs.2.10625/v1 ◽

2019 ◽

Author(s):

Mary Dooley ◽

Kit N. Simpson ◽

Heather S. Bonilha

Keyword(s):

Systematic Review ◽

Statistical Method ◽

Statistical Methods ◽

Administrative Data ◽

Gamma Distribution ◽

Generalized Linear Models ◽

Linear Models ◽

The United States ◽

Cost Data ◽

Inclusion Criteria

Abstract BACKGROUND Healthcare costs are increasing at alarming rates in the United States (US) putting a heavy burden on the healthcare reimbursement system. Cost and cost savings have become an important focus as health policy administrators are tasked with determining the most effective allocation of limited resources. The availability of large databases, such as administrative data, comes with many challenges for analyses, including: skewed data, inflated zero counts, and potential selection bias among comparison groups. Thus, it is imperative that they are evaluated correctly. There are many different methods currently being used to estimate costs including: generalized linear models with a log link, natural logarithm transformed costs, gamma distribution, median regression, two-part models, and Bayesian models. This systematic review will identify which methods are statistically and mathematically appropriate for large claims data. METHODS Scopus and Ovid were searched for potential statistical method papers using multivariable modelling of cost that were published up to the end of February 2018. Inclusion criteria required either a comparison of two or more statistical methods to analyze cost or one statistical method performed on two or more different types of cost data. This systematic review follows the guidelines according to Preferred Reposting Items for Systematic Reviews and Meta-Analysis (PRISMA). RESULTS The review identified 1,048 potential papers, of which, 80 met the inclusion criteria for a full article review. There was a total of 9 papers included in the systematic review; one paper included simulations and eight papers assessed real cost data. There were 28 models assessed across the nine papers with ordinary least squares (OLS) and generalized linear models (GLM) being the most common. CONCLUSIONS GLM using the gamma distribution was included in all but two of the comparisons. Most other models that were compared to the GLM Gamma distribution with log link found it to be the superior model in both simulated data and real administrative data.

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