1Interquartile range,2Kruskal-Wallis test.

Mean, median, and interquartile range (IQR) scores for each concern according to gender, type of diagnosis, language, and age.

Number of patients for each group are indicated at the top, and the number of samples available for each analysis are indicated in each cell.

BackgroundThe conduction and report of network meta-analysis (NMA), including the presentation of the network-plot, should be transparent. We aimed to propose metrics adapted from graph theory and social network-analysis literature to numerically describe NMA geometry.MethodsA previous systematic review of NMAs of pharmacological interventions was performed. Data on the graph’s presentation were collected. Network-plots were reproduced using Gephi 0.9.1. Eleven geometric metrics were tested. The Spearman test for non-parametric correlation analyses and the Bland-Altman and Lin’s Concordance tests were performed (IBM SPSS Statistics 24.0).ResultsFrom the 477 identified NMAs only 167 graphs could be reproduced because they provided enough information on the plot characteristics. The median nodes and edges were 8 (IQR 6–11) and 10 (IQR 6–16), respectively, with 22 included studies (IQR 13–35). Metrics such as density (median 0.39, ranged 0.07–1.00), median thickness (2.0, IQR 1.0–3.0), percentages of common comparators (median 68%), and strong edges (median 53%) were found to contribute to the description of NMA geometry. Mean thickness, average weighted degree and average path length produced similar results than other metrics, but they can lead to misleading conclusions.ConclusionsWe suggest the incorporation of seven simple metrics to report NMA geometry. Editors and peer-reviews should ensure that guidelines for NMA report are strictly followed before publication.

A Mann-Whitney U test, with post hoc Bonferroni correction were used for statistical analysis. Adjusted significance value p<0.016 (*).MoM: multiple of the median; IQR: interquartile range; PAPP-A: Pregnancy-Associated Plasma Protein-A; fβ–hCG: free β–human Chorionic Gonadotropin; ADAM12: A Disintegrin And Metalloprotease 12; PlGF: Placental Growth Factor; MAP: Mean Arterial Pressure; EO-PE: early-onset preeclampsia; LO-PE: late-onset preeclampsia.

Case study: Median (interquartile range) of the estimated values of η and p when we assume k = 5.

A Pearson's chi square test and Mann-Whitney U test, both with post hoc Bonferroni correction were used for statistical analysis. Adjusted significance value p<0.016 (*). EO-PE: early-onset preeclampsia; LO-PE: late-onset preeclampsia; IQR: interquartile range; BMI: body mass index.

True values are η = (0.5, 1.0, 3.5) and p = (0.2, 0.3, 0.5).

*The Wilcoxon rank sum test was used for statistical analysis.†The Chi-squared test was used for statistical analysis.‡The t-test was used for statistical analysis.§Fisher's exact test was used for statistical analysis. IQR: interquartile range.

*Continuous variables are represented as median (IQR).Results of univariate analysis of significant factors associated with life-threatening lower respiratory tract infections (LRTIs).

NA = data not available; IQR = interquartile range;*mean(95% confidence interval);†Clavien-Dino classification grade >3.

Studies were summarized due to multiple reporting of identical patient population.2: Incl. all kinds of metal ion measurement in urin, e.g. 12- or 24 h urine.3: AAS = All procedures of atomic absorption spectrometry.4: ICP-MS = all procedures of inductively coupled plasma mass spectrometry.n. r. = Not reported.SD: Standard deviation; SEM: Standard error of the mean; IQR: Interquartile range.

Median and interquartile range (IQR) for each numeric variable of the dataset, stratified by Survival (S: Survived, NS: Not survived, T: Total cohort), and for the SIRS and SEPSIS cohorts.

The horizontal plane position errors of the four smartphone models presenting the median, interquartile range (IQR), maximum, minimum, and sample size (n) for horizontal plane positioning errors in meters.

Median values (and interquartile ranges, in brackets) of inputs and outputs divided in two groups: efficient and non-efficient units in each model.

Demographical and social characteristics of study patients, smoking status and patient compliance from the ophthalmologist’s perspective; table n = 169.

BackgroundGiven the rising incidence of cardiovascular diseases (CVDs) in Bangladesh, an improved understanding of the epidemiology of CVD risk factors is needed. Therefore, we reviewed published studies on CVD modifiable risk factors e.g., Type 2 Diabetes Mellitus (T2DM), hypertension (HTN), dyslipidemia and smoking as well as studies on CVDs and conducted a meta-analysis of risk factors and disease prevalence.MethodsWe searched the GLOBAL HEALTH, MEDLINE, EMBASE ‘BanglaJol’ databases for all studies in English on CVDs and its associated modifiable risk factors. Random effects meta-analysis methods were used to estimate pooled prevalence.ResultsThere were 74 eligible studies (outcome: T2DM = 32, HTN = 24, dyslipidaemia = 8 and smoking = 25; CVDs = 10). Due to high between study heterogeneity (p 95%) in the prevalence of CVD risk factors, we presented median and interquartile range (IQR) instead of the pooled estimates as the summary measures. Median (IQR) prevalence of T2DM, HTN, dyslipidemia and smoking were 5.9% (1.97%-8.25%); 15.1% (10.52%-17.60%); 34.35% (10.66%-48.50%) and 40.56% (0.80%-55.95%), respectively. The prevalence of T2DM and dyslipidemia were significantly higher in urban compared to rural populations (13.5 vs 6%, p

Descriptive analysis of the number of days spent at home within the last 180 days of life among women and men, according to clinical and socioeconomic characteristics.

Latency of diagnosis (median; months) and interquartile range (IQR; months) of Inflammatory Bowel Disease (IBD) in age groups and by gender.

NMA, network meta-analysis. (XLSX)