Meta-analysis in microbiology

Pabalan, Noel; Jarjanazi, Hamdi; Steiner, Theodore S.

doi:10.4103/0255-0857.136547

Cited by 5 publications

(12 citation statements)

References 25 publications

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“…Considered at the top of the hierarchy of evidence [3], it is a logically formal and objective technique as well as quantitative mode of summarizing research findings in order to identify genuine associations [1,4].…”

Section: Meta-analysis Definedmentioning

confidence: 99%

“…First, meta-analysis is cheaper, but not necessarily easier to do. Primary studies on the other hand are more expensive and logistically problematic, especially when large [1,7]. Second, primary studies often do not have enough statistical power to assess relationships between risks (interventions) and outcomes.…”

Section: Importance Of Meta-analysismentioning

confidence: 99%

“…Thus, meta-analysis findings facilitate more efficient transfer of knowledge from researcher to clinician enabling analyses of important patient subgroups, delineation of high risk factors for infection enough for information to be useful for public health advice in risk for infection. Consequently, meta-analysis lends rigor to better assist health authorities in directing therapeutic decisions to target populations, urgency for health education and control measures [1]. Indeed, in the public health domain, a number of difficult issues that had been repeatedly studied were either resolved or clarified by the application of meta-analysis techniques [12].…”

Section: Importance Of Meta-analysismentioning

confidence: 99%

“…The test for overall effect, represented here by the Z-test and its corresponding P value, is 0.008 indicating significance. This graph has been much more explained in detail in two previous papers [1,16].…”

Section: Summary Effect Analysismentioning

confidence: 99%

“…A search of E. coli publications in PubMed reveals an output value of 339,415 (as of July 16, 2016) which when narrowed to E. coli in title only, the number is still substantial (96,594). Majority of the E. coli publications are primary studies which when addressing the same issue, most often produce contradictory results [1]. Thus when primary studies are reviewed (usually in the narrative style), these contradictions hinder meaningful integration of results.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Evaluating Meta-Analysis Research of <i>Escherichia coli</i>

Pabalan¹,

Singian²,

Tabangay³

et al. 2017

≪i>Escherichia Coli

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0
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0

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This chapter summarizes the progress in Escherichia coli research that used the meta-analysis approach. Using systematic searches for E. coli literature, we tracked meta-analysis publications and analyzed them based on a number of parameters. These included subject/topic (epidemiology, clinical/intervention/prevention and environmental), geographical region (the Americas, Europe and Australasia) and clinical syndrome (enteric, renal, and sepsis/meningitis). These parameters were plotted in terms of time span to obtain a sense of dynamic change or its absence through the years since the turn of the twentieth century. In terms of region, topic and syndrome, highest meta-analysis productivity was attributed to the Americas, clinical/intervention/prevention and enteric, all of which took place in the last 5 years (2011)(2012)(2013)(2014)(2015)(2016). Over the combined time span of 16 years, the Americas significantly dominated meta-analysis outputs when compared to Europe and Australasia (P = 0.003). In conclusion, our findings facilitate awareness of the progress in this field wherein the studied parameters were analyzed for patterns over time and differential rates of publication productivity.

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Section: Meta-analysis Definedmentioning
confidence: 99%

Section: Importance Of Meta-analysismentioning
confidence: 99%

Section: Summary Effect Analysismentioning
confidence: 99%

Section: Introductionmentioning
confidence: 99%

See 3 more Smart Citations
Evaluating Meta-Analysis Research of <i>Escherichia coli</i>
Pabalan¹,
Singian²,
Tabangay³
et al. 2017
≪i>Escherichia Coli
0
0
0
0
View full text Add to dashboard Cite
This chapter summarizes the progress in Escherichia coli research that used the meta-analysis approach. Using systematic searches for E. coli literature, we tracked meta-analysis publications and analyzed them based on a number of parameters. These included subject/topic (epidemiology, clinical/intervention/prevention and environmental), geographical region (the Americas, Europe and Australasia) and clinical syndrome (enteric, renal, and sepsis/meningitis). These parameters were plotted in terms of time span to obtain a sense of dynamic change or its absence through the years since the turn of the twentieth century. In terms of region, topic and syndrome, highest meta-analysis productivity was attributed to the Americas, clinical/intervention/prevention and enteric, all of which took place in the last 5 years (2011)(2012)(2013)(2014)(2015)(2016). Over the combined time span of 16 years, the Americas significantly dominated meta-analysis outputs when compared to Europe and Australasia (P = 0.003). In conclusion, our findings facilitate awareness of the progress in this field wherein the studied parameters were analyzed for patterns over time and differential rates of publication productivity.
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Bioinformatics tools to assess metagenomic data for applied microbiology
Ogg
¹
,
Martinis
²

2018
Appl Microbiol Biotechnol
49
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35
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Determining the relevance of HLA/KIR matching/mismatching on kidney and liver transplantation rejection: A meta-analysis
Batuan
¹
,
CAJAYON
²
,
B
³

et al. 2021
Nusantara Biosci
1
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0
0
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Abstract. Batuan B, Cajayon CJ, Castro BA, Austria ML, Co DN, Ebreo SK, Clemente B, Tiongco RE. 2021. Determining the relevance of HLA/KIR matching/mismatching on kidney and liver transplantation rejection: A meta-analysis. Nusantara Bioscience 13: 211-218. The kidney and liver are solid organs commonly transplanted nowadays. However, there are cases wherein graft rejection occurs due to foreign Human Leukocyte Antigen (HLA) proteins. Furthermore, the function of Natural Killer (NK) cells and their receptors in solid organ transplantation is not yet fully elucidated. This study aims to determine the relevance of matching HLA/Killer cell Immunoglobulin-like Receptors (KIR) with kidney and liver transplantation outcomes. Articles were screened according to the inclusion and exclusion criteria provided, which garnered eight definitive studies. Next, data were tabulated using a standardized extraction form. A meta-analysis was conducted to formulate conclusions regarding significance of HLA/KIR matching and mismatching in kidney and liver transplantations. Fixed- and random-effects models were utilized to compute and establish 95% CI and pooled ORs wherein a p-value of less than 0.05 is considered significant. A combination of Chi-square based Q test and I2 statistics were used to identify heterogeneity, which was resolved with a funnel plot. In this meta-analysis, only the HLA-Bw4/KIR3DL1 combination was found significant to lower the risk of allograft rejection (OR=0.73; PA=0.009; PH=0.42). Other combinations which include HLA-C1 and KIR2DL2/3, HLA-C1 and KIR2DS2/3, HLA-C2 and KIR2DL1/DS2, and HLA-Bw4/KIR3DS1 were found to be insignificant; hence, these do not influence the allograft rejections. In conclusion, the role of HLA/KIR combinations on solid organ transplantation rejection is only significant in HLA-Bw4/KIR3DL1 interaction which is correlated with decreased odds of allograft rejection. Factors including KIR allele variations, insufficient data and journals related to the topic, and unestablished association of HLA/KIR in other organ transplantations affected the results of this meta-analysis; thus, these are recommended to be considered in future studies.

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Meta-analysis in microbiology

Cited by 5 publications

References 25 publications

Evaluating Meta-Analysis Research of <i>Escherichia coli</i>

Evaluating Meta-Analysis Research of <i>Escherichia coli</i>

Bioinformatics tools to assess metagenomic data for applied microbiology

Determining the relevance of HLA/KIR matching/mismatching on kidney and liver transplantation rejection: A meta-analysis

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