scholarly journals Controlling for baseline telomere length biases estimates of the rate of telomere attrition

2019 ◽  
Vol 6 (10) ◽  
pp. 190937 ◽  
Author(s):  
Melissa Bateson ◽  
Dan T. A. Eisenberg ◽  
Daniel Nettle

Longitudinal studies have sought to establish whether environmental exposures such as smoking accelerate the attrition of individuals' telomeres over time. These studies typically control for baseline telomere length (TL) by including it as a covariate in statistical models. However, baseline TL also differs between smokers and non-smokers, and telomere attrition is spuriously linked to baseline TL via measurement error and regression to the mean. Using simulated datasets, we show that controlling for baseline TL overestimates the true effect of smoking on telomere attrition. This bias increases with increasing telomere measurement error and increasing difference in baseline TL between smokers and non-smokers. Using a meta-analysis of longitudinal datasets, we show that as predicted, the estimated difference in telomere attrition between smokers and non-smokers is greater when statistical models control for baseline TL than when they do not, and the size of the discrepancy is positively correlated with measurement error. The bias we describe is not specific to smoking and also applies to other exposures. We conclude that to avoid invalid inference, models of telomere attrition should not control for baseline TL by including it as a covariate. Many claims of accelerated telomere attrition in individuals exposed to adversity need to be re-assessed.

2020 ◽  
Vol 47 (9) ◽  
pp. 7181-7188 ◽  
Author(s):  
M. Lulkiewicz ◽  
J. Bajsert ◽  
P. Kopczynski ◽  
W. Barczak ◽  
B. Rubis

Abstract Telomerase is perceived as an immortality enzyme that might provide longevity to cells and whole organisms. Importantly, it is generally inactive in most somatic cells of healthy, adult men. Consequently, its substrates, i.e. telomeres, get shorter in most human cells with time. Noteworthy, cell life limitation due to telomere attrition during cell divisions, may not be as bad as it looks since longer cell life means longer exposition to harmful factors. Consequently, telomere length (attrition rate) becomes a factor that is responsible for inducing the signaling that leads to the elimination of cells that lived long enough to acquire severe damage. It seems that telomere length that depends on many different factors (including telomerase activity but also genetic factors, a hormonal profile that reflects sex, etc.) might become a useful marker of aging and exposition to stress. Thus in the current paper, we review the factors that affect telomere length in human cells focusing on sex that all together with different environmental and hormonal regulations as well as parental aspect affect telomere attrition rate. We also raise some limitations in the assessment of telomere length that hinders a trustworthy meta-analysis that might lead to acknowledgment of the real value of this parameter.


2003 ◽  
Vol 46 (6) ◽  
pp. 1340-1351 ◽  
Author(s):  
Xuyang Zhang ◽  
J. Bruce Tomblin

This tutorial is concerned with examining how regression to the mean influences research findings in longitudinal studies of clinical populations. In such studies participants are often obtained because of performance that deviates systematically from the population mean and are then subsequently studied with respect to change in the trait used for this selection. It is shown that in such research there is a potential for the estimates of change to be erroneous due to the effect of regression to the mean. The source of the regression effect is shown to arise from measurement error and a sampling bias of this measurement error in the process of selecting on extreme scores. It is also shown that regression effects are greater with measures that are less reliable and with samples that are selected with more extreme scores. Furthermore, it is shown that regression effects are particularly prominent when measures of change are based on changes in dichotomous states formed from quantitative, normally distributed traits. In addition to a formal analysis of the regression to the mean, the features of regression to the mean are demonstrated via a simulation.


2012 ◽  
Vol 18 (4) ◽  
pp. 387-390 ◽  
Author(s):  
Gary R Cutter

Relapse rates and thus the impact of therapies have been decreasing. Why they decline and the impact on our ability to understand which treatments are better require more than simple math. The objective of this review is to discuss the impact of regression to the mean, changes in outcome effects and how we compare outcomes over time and among studies. This paper provides discourse on the topics of regression to the mean, some examples of the pitfalls of changes and some difficulties in the interpretation of the common percentage change in outcomes. The results show that we can often be deceived by what we think we see and they also demonstrate how such confusion evolves in the literature. This article aims to caution against the over-interpretation of changes from baseline, which are helped along by regression towards the mean and other factors. Furthermore, how we interpret changes from baseline requires care and not wishful thinking, coupled with careful digestion of seemingly reasonable explications of results.


2022 ◽  
Author(s):  
Raiyyan Aftab ◽  
Vikash H Dodhia ◽  
Christopher Jeanes ◽  
Ryckie G Wade

Abstract Background Surgical site infection (SSI) is the most common complication of surgery, increasing healthcare costs and hospital stay. Chlorhexidine (CHX) and povidone-iodine (PVI) are used for skin antisepsis, minimising SSIs. There is increasing concern of developing resistance to topical biocides, though clinical implications remain unclear. Outcomes: Determining whether the Minimum Bactericidal Concentration (MBC) for topical preparations of CHX or PVI have changed over time, in microbes relevant to SSI. Methods We included studies reporting the mean bactericidal concentration (MBC) of laboratory and clinical isolates of common microbes to CHX and PVI. Excluding non-human samples and studies using antimicrobial solvents or mixtures with other active substances. MBC was pooled in random effects meta-analyses. Change in MBC over time was explored using meta-regression. Results 79 studies were including, analysing 6218 microbes over 45 years. Most used CHX (93%), with insufficient data for meta-analysis of PVI. There was no change in MBC of CHX to Staphylococci (β 0.12 [-1.13, 1.37]; I2 99%) or Streptococci (β 0.13 [-0.35, 0.62]; I2 97%). Conclusions There is no evidence of reduced susceptibility of common SSI-causing microbes to CHX over time. Providing reassurance that the worldwide guidance that CHX should remain the first-choice agent for surgical skin antisepsis.


Author(s):  
Andrew Gelman ◽  
Deborah Nolan

This chapter addresses the descriptive treatment of linear regression with a single predictor: straight-line fitting, interpretation of the regression line and standard deviation, the confusing phenomenon of “regression to the mean,” correlation, and conducting regressions on the computer. These concepts are illustrated with student discussions and activities. Many examples are of the sort commonly found in statistics textbooks, but the focus here is on how to work the examples into student-participation activities rather than simply examples to be read or shown on the blackboard. Topics include the following relationships: height and income, height and hand span, world population over time, and exam scores.


Author(s):  
Kerrie Mengersen ◽  
Michael D. Jennions ◽  
Christopher H. Schmid

In many meta-analyses, independence is questionable because there are several effect estimates per study and/or some of the individual studies included in the meta-analysis might not provide independent estimates of the effect. Within-study nonindependence can arise due to multiple measures of the same effect on the same experimental units being made over time, multiple treatments being compared to the same set of control individuals, or different measures being taken (e.g., plant height, dry weight, and photosynthesis rate) from the same experimental units to generate several different effect size estimates. This chapter discusses nonindependence among effect sizes both within and among studies. It focuses on four commonplace situations where nonindependence can occur in ecology and evolution meta-analyses. Each of these four situations is illustrated with a single case study.


2021 ◽  
Author(s):  
Qian Zhang

Abstract: A scale to measure a psychological construct is subject to measurement error. When meta-analyzing correlations obtained from scale scores, many researchers recommend correcting measurement error. We considered three caveats when conducting meta-analysis of correlations: (1) the distribution of true scores can be non-normal, resulting in a violation of the normality assumption for raw correlations and Fisher's z transformed correlations; (2) coefficient alpha is often used as the reliability, but correlations corrected for measurement error using alpha can be inaccurate when some assumptions (e.g., tau-equivalence) of alpha are violated; and (3) item scores are often ordinal, making the disattenuation formula potentially problematic. Via three simulation studies, we examined the performance of two meta-analysis approaches with raw correlations and z scores. In terms of estimation accuracy and coverage probability of the mean correlation, results showed that (1) the true score distribution alone had slight influence; (2) when the tau-equivalence assumption was violated and coefficient alpha was used for correcting measurement error, the mean correlation estimate can be biased and coverage probability can be low; and (3) discretization of continuous items can result in under-coverage of the mean correlation even when tau-equivalence was satisfied. With more categories and/or items on a scale, results can improve when tau-equivalence was met or not. Based on these findings, we then gave recommendations when conducting meta-analysis of correlations.


2018 ◽  
Vol 36 (6) ◽  
pp. 349-357 ◽  
Author(s):  
Simen Svenkerud ◽  
Hugh MacPherson

Background Clear and unambiguous reporting is essential for researchers and clinicians to be able to assess the quality of research. To enhance the quality of reporting, consensus-based reporting guidelines are commonly used. Objectives To update and extend previous research by evaluating the more recent impact of STRICTA (STandards for Reporting Interventions in Controlled Trials of Acupuncture) and CONSORT (CONsolidated Standards Of Reporting Trials) guidelines on the quality of reporting of acupuncture trials. Methods By random sampling, approximately 45 trials from each of five 2-year time periods between 1994 and 2015 were included in the study. Using scoring sheets based on the STRICTA and CONSORT checklist items (range 0 to 7 and 0 to 5, respectively), the distribution of items reported over time was investigated, with changes shown using scatterplots. The primary analysis used a before-and-after t-test to compare time periods. A meta-analysis investigated whether or not trials published in journals that endorsed STRICTA were associated with better reporting. Results The study included 207 trials. Improved reporting of items over time was observed, as represented by changes in the scatterplot slope and intercept. The mean STRICTA score increased from 4.27 in the 1994–1995 period to 5.53 in 2014–2015, an 18% improvement. The mean CONSORT score rose from 1.01 in the 1994–1995 period to 3.32 in 2014–2015, an increment of 46%. There was proportionately lower reporting for items related to practitioner background (STRICTA) and for randomisation implementation and allocation concealment (CONSORT). Trials published in journals that endorsed STRICTA had statistically significantly superior reporting of both STRICTA and CONSORT items overall. Conclusion This study has provided evidence of an improvement in reporting of STRICTA and CONSORT items over the time period from 1994 to 2015. Journals that endorse STRICTA have a better record in terms of reporting quality. Some evidence suggests that the publication of STRICTA has had a positive impact on reporting quality.


2021 ◽  
Author(s):  
Jeff Goldsmith ◽  
Tomoko Kitago ◽  
Angel Garcia de la Garza ◽  
Robinson Kundert ◽  
Andreas Luft ◽  
...  

The proportional recovery rule (PRR) posits that most stroke survivors can expect to reverse a fixed proportion of motor impairment. As a statistical model, the PRR explicitly relates change scores to baseline values -- an approach that has the potential to introduce artifacts and flawed conclusions. We describe approaches that can assess associations between baseline and changes from baseline while avoiding artifacts either due to mathematical coupling or regression to the mean due to measurement error. We also describe methods that can compare different biological models of recovery. Across several real datasets, we find evidence for non-artifactual associations between baseline and change, and support for the PRR compared to alternative models. We conclude that the PRR remains a biologically-relevant model of recovery, and also introduce a statistical perspective that can be used to assess future models.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 829-829 ◽  
Author(s):  
Gabriela M. Baerlocher ◽  
Alicia Rovo ◽  
Astrid Mueller ◽  
Sybille Matthey ◽  
Martin Stern ◽  
...  

Abstract The establishment of donor-derived hematopoiesis in recipients of hematopoietic stem cell (HSC) transplantation (HSCT) involves extensive proliferation of HSCs and might lead to “premature aging” of hematopoietic cells. Telomere shortening as indicator of cell proliferation has been described after HSCT. The telomere attrition has mainly been observed during the first year after allogeneic HSCT. Thereafter, telomere length dynamics of recipients appeared not to differ from their donors. The aim of our cross-sectional study was to evaluate the telomere attrition in leukocyte subsets of very long term survivors (LTS) after HSCT in relation to donor/recipient age, sex, cell counts in peripheral blood, number of transplanted nucleated cells (NTNC), and occurrence of acute and chronic graft versus host disease (GVHD). Automated multicolour flow-FISH was used to measure the telomere length in granulocytes, naive T-cells, B-cells and NK/NKT-cells of 44 LTS and their HLA-identical sibling donors. At HSCT the median age of donors and recipients was 25.8 (2–46) and 26.8 years (5–50). The median follow-up after HSCT was 17.5 years (11–26). Four patients received HSCT for aplastic anemia, 40 for hematological malignancies. All patients received bone marrow as source of HSC and TBI was part of the conditioning in 39 (89%). Acute GVHD was observed in 31 (70%), and chronic GVHD in 22 (50%) patients. The age-matched and cell-type specific absolute telomere length values for recipients and donors fell between the 1st-99th percentile of the normal distribution. The telomere length (mean ± std) was significantly shorter in recipients as compared to their donors (p<0.01) for granulocytes (6.5±0.9 vs 7.1±0.9), T-cells (5.7±1.2 vs 6.6±1.2), B-cells (7.1±1.1 vs 7.8±1.1) and NK/NKT-cells (4.8±1.0 vs 5.6±1.3). The mean difference between recipients and donors for each subset of cells was between 0.6–0.9 kb. The mean telomere length of all subsets of cells was significantly shorter for males compared to females even though this difference was small. Age, sex of recipient, NTNC, and acute GVHD had no impact on telomere attrition. In all cell types except NK/NKT-cells we found a significant telomere shortening in recipients transplanted with a female donor (p<0.04) and in those with chronic GVHD (p<0.04). The telomere length difference between donor/recipient was most pronounced for recipients with the combination of a female donor and chronic GVHD (Figure 1). The loss in telomere length is more than twice for patients with a female donor and chronic GVHD compared to those with a male donor without chronic GVHD. In summary, our data reveal chronic GVHD and a female donor to be predictors for higher telomere attrition in LTS after HSCT. The more pronounced telomere attrition with a female donor and chronic GVHD corresponds to approximately 30–60 years of cell aging and raises once more the question of cellular immuno-senescence and its consequences in LTS of HSCT. Figure Figure


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