Forest plot: An indispensable segment of meta-analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 3-8
Author(s):  
Vipin Ahuja ◽  
Annapurna Ahuja

Forest plot is the graphical display of estimated results from a number of scientific studies included in Meta-Analysis. The name refers to the forest of lines produced. It is also known as a blobbogram and is a graphical representation of data from studies addressing the same question, along with the overall results. It was developed for use in medical research as a means of graphically representing a meta-analysis of the results of randomized controlled trials. One of the foremost advantages of these plots is that one can see and interpret the information from the individual studies that went into meta-analysis at a glance. It also highlights the amount of variation between the studies and an estimate of the overall result. This review article throws a light on the importance of forest plots and their interpretation in the field of dental research.

2021 ◽  
Vol 28 (2) ◽  
pp. 202-210
Author(s):  
Hasan Madani ◽  
Soetojo ◽  
Wahjoe Djatisoesanto

Objective: This review aimed to evaluate the efficacy and safety of mirabegron as monotherapy and its combination with solifenacin for patients with overactive bladder (OAB). Material & Methods: A systematic search was conducted in PubMed, Google Scholar, and Science Direct using the keywords Overactive bladder or OAB and mirabegron or beta-3 agonist or β3 adrenoreceptor agonist and solifenacin or antimuscarinic based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guideline to include relevant randomized controlled trials (RCT)s. The included studies were assessed for their risks of bias using the Cochrane risk of bias tool for randomized controlled trials. Quantitative analysis using forest plot was performed in Review Manager 5.4. Results: A total of 4 RCTs were included from 227 studies. A fixed-effects model was chosen due to the low level of heterogeneity between the studies (I2 = 0%). The average micturition volume of patients in the combination group is higher compared to the monotherapy group (MD 17.13, 95% CI 12.78 - 21.48, p < 0.00001). The mean micturition frequency (MD - 0.54, 95% CI - 0.73 - -0.34, p < 0.00001) and incontinence incidence (MD -0.30, 95% CI -0.48 - -0.12, p = 0.001) in the combined group are significantly lower compared to the monotherapy group. Conclusion: The combination of mirabegron and solifenacin has better efficacy compared to mirabegron as monotherapy for OAB patients with a therapy duration of less than 12 weeks based on the micturition volume, micturition frequency, and incontinence incidence. The administration of combination therapy would not increase adverse event incidence compared to monotherapy.


Nephrology ◽  
2004 ◽  
Vol 9 (4) ◽  
pp. 177-185 ◽  
Author(s):  
JOSHUA A SAMUELS ◽  
GIOVANNI FM STRIPPOLI ◽  
JONATHAN C CRAIG ◽  
FRANCESCO P SCHENA ◽  
DONALD A MOLONY

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4596-4596
Author(s):  
Alfonso Piciocchi ◽  
Katia Bontempi ◽  
Paola Fazi ◽  
Marco Vignetti ◽  
Franco Mandelli

Abstract Abstract 4596 Several therapies, composed by single agent or combinations, are available for untreated patients in chronic lymphocytic leukemia and it is difficult to rank treatments according to their effect size when not all treatments have been compared directly. Direct randomized comparison is the most reliable way of comparing treatments but when the number of available treatments increases the number of possible pairwise comparisons increases quadratically, so it is common for only a small fraction of the possible comparisons to be performed. Network meta-analysis permits to add indirect estimates for assessing the relative effectiveness of two treatments when they have not been compared directly in a randomized trial but have each been compared to other treatments. Network meta-analysis of randomized controlled trials was used to combine direct and indirect estimates of the effect of four drugs and their combinations from five randomized controlled trials (Fig. IA) in CLL patients based on a systematic review conducted by M.M. Cheng et al. (Cancer Treatment Review 2012) on 2625 patients where Chorambucil, Fludarabine, Rituximab, Alemtuzumab, Bendamustine, Cladribine and Pentostatin have been considered as primary first-line agents for CLL. Patients were younger (59–65 years), had good performance status (ECOG: 0–1) and early stage disease (Rai 0-II, Binet A or B). We carried out an analysis based on the endpoint of PFS, described as the duration of the time from randomization until disease progression or death from any cause and to consider the heterogeneity among the studies a random effects model was performed. The differences in PFS of all therapies considered in the analysis were compared with combination of Fludarabine and Chorambucil (FC). The results were summarized by forest plot (Fig IB) in terms of reduction or increase of Hazard Ratio. As the forest plot shows, FCR has relatively higher potential of preventing disease progression in younger patients affected by chronic lymphocytic leukemia. Respect to a traditional meta-analysis, which usually compares only two treatments, network meta-analysis is a useful method to combine direct and indirect comparisons of treatments from RCTs and to analyze the hierarchy in treatment effects and tests for consistency of the relations of the network. Disclosures: No relevant conflicts of interest to declare.


2020 ◽  
Vol 146 (12) ◽  
pp. 1117-1145
Author(s):  
Kathryn R. Fox ◽  
Xieyining Huang ◽  
Eleonora M. Guzmán ◽  
Kensie M. Funsch ◽  
Christine B. Cha ◽  
...  

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