Standard error estimation in meta-analysis of studies reporting medians

McGrath, Seán; Katzenschlager, Stephan; Zimmer, A.; Seitel, Alexander; Steele, Russell; Benedetti, Andrea

doi:10.1177/09622802221139233

Cited by 41 publications

(63 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Estimated mean age was calculated whenever articles reported the median age, using the quantile estimation method. 19 Extracted variables known to be relevant in genetic association studies are summarized in Table S3.…”

Section: Synthesis Of Resultsmentioning

confidence: 99%

Pharmacogenetics of taxane‐induced neurotoxicity in breast cancer: Systematic review and meta‐analysis

Guijosa

Freyria

Espinosa-Fernandez

et al. 2022

Clinical Translational Sci

View full text Add to dashboard Cite

Taxane‐based chemotherapy regimens are used as first‐line treatment for breast cancer. Neurotoxicity, mainly taxane‐induced peripheral neuropathy (TIPN), remains the most important dose‐limiting adverse event. Multiple genes may be associated with TIPN; however, the strength and direction of the association remain unclear. For this reason, we systematically reviewed observational studies of TIPN pharmacogenetic markers in breast cancer treatment. We conducted a systematic search of terms alluding to breast cancer, genetic markers, taxanes, and neurotoxicity in Ovid, ProQuest, PubMed, Scopus, Virtual Health, and Web of Science. We assessed the quality of evidence and bias profile. We extracted relevant variables and effect measures. Whenever possible, we performed random‐effects gene meta‐analyses and examined interstudy heterogeneity with meta‐regression models and subgroup analyses. This study follows the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) and STrengthening the REporting of Genetic Association Studies (STREGA) reporting guidance. A total of 42 studies with 19,431 participants were included. These evaluated 262 single‐nucleotide polymorphisms (SNPs) across 121 genes. We conducted meta‐analyses on 23 genes with 60 SNPs (19 studies and 6246 participants). Thirteen individual SNPs (ABCB1‐rs2032582, ABCB1‐rs3213619, BCL6/‐rs1903216, /CAND1‐rs17781082, CYP1B1‐rs1056836, CYP2C8‐rs10509681, CYP2C8‐rs11572080, EPHA5‐rs7349683, EPHA6‐rs301927, FZD3‐rs7001034, GSTP1‐rs1138272, TUBB2A‐rs9501929, and XKR4‐rs4737264) and the overall SNPs' effect in four genes (CYP3A4, EphA5, GSTP1, and SLCO1B1) were statistically significantly associated with TIPN through meta‐analysis. In conclusion, through systematic review and meta‐analysis, we found that polymorphisms, and particularly 13 SNPs, are associated with TIPN, suggesting that genetics does play a role in interindividual predisposition. Further studies could potentially use these findings to develop individual risk profiles and guide decision making.

show abstract

Section: Synthesis Of Resultsmentioning

confidence: 99%

Pharmacogenetics of taxane‐induced neurotoxicity in breast cancer: Systematic review and meta‐analysis

Guijosa

Freyria

Espinosa-Fernandez

et al. 2022

Clinical Translational Sci

View full text Add to dashboard Cite

show abstract

“…For continuous outcomes reported in median values and corresponding interquartile ranges, we estimated the sample mean and SD using the quantile estimation method, as previously described. 11,12…”

Section: Methodsmentioning

confidence: 99%

Changes in Stroke Hospital Care During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

Katsanos

Palaiodimou

Zand

et al. 2021

Stroke

View full text Add to dashboard Cite

Background and Purpose: We systematically evaluated the impact of the coronavirus 2019 (COVID-19) pandemic on stroke care across the world. Methods: Observational studies comparing characteristics, acute treatment delivery, or hospitalization outcomes between patients with stroke admitted during the COVID-19 pandemic and those admitted before the pandemic were identified by Medline, Scopus, and Embase databases search. Random-effects meta-analyses were conducted for all outcomes. Results: We identified 46 studies including 129 491 patients. Patients admitted with stroke during the COVID-19 pandemic were found to be younger (mean difference, −1.19 [95% CI, −2.05 to −0.32]; I 2 =70%) and more frequently male (odds ratio, 1.11 [95% CI, 1.01–1.22]; I 2 =54%) compared with patients admitted with stroke in the prepandemic era. Patients admitted with stroke during the COVID-19 pandemic, also, had higher baseline National Institutes of Health Stroke Scale scores (mean difference, 0.55 [95% CI, 0.12–0.98]; I 2 =90%), higher probability for large vessel occlusion presence (odds ratio, 1.63 [95% CI, 1.07–2.48]; I 2 =49%) and higher risk for in-hospital mortality (odds ratio, 1.26 [95% CI, 1.05–1.52]; I 2 =55%). Patients with acute ischemic stroke admitted during the COVID-19 pandemic had higher probability of receiving endovascular thrombectomy treatment (odds ratio, 1.24 [95% CI, 1.05–1.47]; I 2 =40%). No difference in the rates of intravenous thrombolysis administration or difference in time metrics regarding onset to treatment time for intravenous thrombolysis and onset to groin puncture time for endovascular thrombectomy were detected. Conclusions: The present systematic review and meta-analysis indicates an increased prevalence of younger patients, more severe strokes attributed to large vessel occlusion, and higher endovascular treatment rates during the COVID-19 pandemic. Patients admitted with stroke during the COVID-19 pandemic had higher in-hospital mortality. These findings need to be interpreted with caution in view of discrepant reports and heterogeneity being present across studies.

show abstract

“…Apart from considerations on the outcome measure, two factors that strongly differentiate the performance of mean-based methods and median-based methods are (i) the proportion of primary studies reporting medians and (ii) the skewness of the outcome distribution in the primary studies. For (i), as the proportion of primary studies reporting medians increases, the performance of median-based methods often improves and the performance of mean-based methods often worsens [15,16,23], as one may expect. For (ii), when the outcome distribution is highly skewed, mean-based methods can perform poorly [15,16,23].…”

Section: Comparison Of Methodsmentioning

confidence: 97%

“…While most of the literature on mean-based methods has focused on better estimating the sample mean and standard deviation from S 1 , S 2 , or S 3 , another important consideration is the performance of such methods in the context of meta-analysis. McGrath et al [23] showed that using the imputed study-specific sample means and standard deviations in place of the actual (unreported) sample means and standard deviations in standard meta-analytic methods can severely underestimate the within-study SEs for studies reporting medians, which can result in negative downstream consequences in meta-analysis. Moreover, they described a bootstrap approach to better estimate the within-study SEs when using the mean estimators of McGrath et al [7] and Cai et al [12].…”

Section: Mean-based Methodsmentioning

confidence: 99%

metamedian: An R package for meta-analyzing studies reporting medians

McGrath¹,

Zhao²,

Öztürk³

et al. 2023

Preprint

View full text Add to dashboard Cite

When performing an aggregate data meta-analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standard meta-analytic methods typically cannot be directly applied in this setting. In recent years, there has been substantial development in statistical methods to incorporate primary studies reporting sample medians in metaanalysis, yet there are currently no comprehensive software tools implementing these methods. In this paper, we present the metamedian R package, a freely available and open-source software tool for metaanalyzing primary studies that report sample medians. We summarize the main features of the software and illustrate its application through real data examples involving risk factors for a severe course of COVID-19.

show abstract

Standard error estimation in meta-analysis of studies reporting medians

Cited by 41 publications

References 27 publications

Pharmacogenetics of taxane‐induced neurotoxicity in breast cancer: Systematic review and meta‐analysis

Pharmacogenetics of taxane‐induced neurotoxicity in breast cancer: Systematic review and meta‐analysis

Changes in Stroke Hospital Care During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

metamedian: An R package for meta-analyzing studies reporting medians

Contact Info

Product

Resources

About