1887

Chapter 15 : Potential for Meta-Analysis in the Realm of Preharvest Food Safety

MyBook is a cheap paperback edition of the original book and will be sold at uniform, low price.

Preview this chapter:
Zoom in
Zoomout

Potential for Meta-Analysis in the Realm of Preharvest Food Safety, Page 1 of 2

| /docserver/preview/fulltext/10.1128/9781555819644/9781555817077_Chap15-1.gif /docserver/preview/fulltext/10.1128/9781555819644/9781555817077_Chap15-2.gif

Abstract:

Meta-analysis refers to the statistical combination (pooling) of data from multiple original research studies. The results from different studies on the same topic can vary, and meta-analysis provides a means of summarizing a parameter or effect across studies to develop a more precise estimate of the outcome of interest ( ). The combination of data from multiple studies can be undertaken using two broad approaches: combining individual-level data from multiple studies or combining study-level results (effect sizes) from multiple studies ( ). The former requires the meta-analyst to have access to all of the original data from each study subject for each study and is therefore not commonly seen in the preharvest food safety literature ( ), although databases of microbial growth and inactivation kinetics for foodborne pathogens are available and growing ( ). Therefore, this chapter will focus on meta-analysis in the context of combining effect sizes from multiple studies to calculate a summary effect size.

Citation: Sargeant J, O’Connor A. 2018. Potential for Meta-Analysis in the Realm of Preharvest Food Safety, p 273-287. In Thakur S, Kniel K (ed), Preharvest Food Safety. ASM Press, Washington, DC. doi: 10.1128/microbiolspec.PFS-0004-2014
Highlighted Text: Show | Hide
Loading full text...

Full text loading...

Figures

Image of Figure 1
Figure 1

Example of a risk of bias graph using hypothetical data (created in Revman version 5.2). Each study included in the review has been evaluated for the risk of bias based on the domains shown in this figure. Each row of the figure summarizes the proportion of studies classified as low risk of bias, high risk of bias, or unclear risk of bias for that domain.

Citation: Sargeant J, O’Connor A. 2018. Potential for Meta-Analysis in the Realm of Preharvest Food Safety, p 273-287. In Thakur S, Kniel K (ed), Preharvest Food Safety. ASM Press, Washington, DC. doi: 10.1128/microbiolspec.PFS-0004-2014
Permissions and Reprints Request Permissions
Download as Powerpoint
Image of Figure 2
Figure 2

Example of a risk of bias summary using hypothetical data (created in Revman version 5.2). The results of the risk of bias assessment for each study for each risk of bias domain are shown, where “+” (green circles) corresponds to a low risk of bias in a specific study for that domain, “-” (red circles) corresponds to a high risk of bias, and “?” (yellow circles) corresponds to an unclear risk of bias.

Citation: Sargeant J, O’Connor A. 2018. Potential for Meta-Analysis in the Realm of Preharvest Food Safety, p 273-287. In Thakur S, Kniel K (ed), Preharvest Food Safety. ASM Press, Washington, DC. doi: 10.1128/microbiolspec.PFS-0004-2014
Permissions and Reprints Request Permissions
Download as Powerpoint
Image of Figure 3
Figure 3

Forest plot illustrating relative risk of retreatment for bovine respiratory disease following treatment with tulathromycin compared to other available antibiotic treatments ( ). Each row corresponds to treatment comparison, with the box representing the relative risk estimate for the comparison and the line corresponding to the 95% confidence interval around that estimate. The size of the box is representative of the relative amount of information contributed for that comparison (study weighting). The vertical line represents the null effect (relative risk of 1).

Citation: Sargeant J, O’Connor A. 2018. Potential for Meta-Analysis in the Realm of Preharvest Food Safety, p 273-287. In Thakur S, Kniel K (ed), Preharvest Food Safety. ASM Press, Washington, DC. doi: 10.1128/microbiolspec.PFS-0004-2014
Permissions and Reprints Request Permissions
Download as Powerpoint

References

/content/book/10.1128/9781555819644.chap15
1. Borenstein M,, Hedges LV,, Higgins JPT,, Rothstein HR . 2009. Introduction to Meta-Analysis. John Wiley and Sons, West Sussex, United Kingdom.[CrossRef]
2. O’Connor AM,, Sargeant JM,, Wang C . 2014. Conducting systematic reviews of intervention questions. III. Synthesizing data from intervention studies using quantitative approaches (meta-analysis). Zoonoses Public Health 61( Suppl. 1) : 52 63.[PubMed][CrossRef]
3. den Besten HMW,, Zwietering MH . 2012. Meta-analysis for quantitative microbiological risk assessments and benchmarking data. Trends Food Sci Technol 25 : 34 39.[CrossRef]
4. European Food Safety Authority . 2010. Application of systematic review methodology to food and feed safety assessments to support decision making. Eur Food Saf Auth J 8 : 16371727.
5. Sargeant JM,, Rajic A,, Read S,, Ohlsson A . 2006. The process of systematic review and its application in agri-food public-health. Prev Vet Med 75 : 141 151.[PubMed][CrossRef]
6. Gonzales-Barron U,, Butler F . 2011. The use of meta-analytical tools in risk assessment for food safety. Food Microbiol 28 : 823 827.[PubMed][CrossRef]
7. Vialette M,, Pinon A,, Leporq B,, Dervin C,, Membré JM . 2005. Meta-analysis of food safety information based on a combination of a relational database and a predictive modeling tool. Risk Anal 25 : 75 83.[PubMed][CrossRef]
8. Wisener LV,, Sargeant JM,, O’Connor AM,, Faires MC,, Glass-Kaastra SK . 2015. The use of direct-fed microbials to reduce shedding of Escherichia coli O157 in beef cattle: a systematic review and meta-analysis. Zoonoses Public Health 62 : 75 89.[PubMed][CrossRef]
9. Snedeker KG,, Campbell M,, Sargeant JM . 2012. A systematic review of vaccinations to reduce the shedding of Escherichia coli O157 in the faeces of domestic ruminants. Zoonoses Public Health 59 : 126 138.[PubMed][CrossRef]
10. Varela NP,, Dick P,, Wilson J . 2013. Assessing the existing information on the efficacy of bovine vaccination against Escherichia coli O157:H7: a systematic review and meta-analysis. Zoonoses Public Health 60 : 253 268.[PubMed][CrossRef]
11. Kerr AK,, Farrar AM,, Waddell LA,, Wilkins W,, Wilhelm BJ,, Bucher O,, Wills RW,, Bailey RH,, Varga C,, McEwen SA,, Rajić A . 2013. A systematic review-meta-analysis and meta-regression on the effect of selected competitive exclusion products on Salmonella spp. prevalence and concentration in broiler chickens. Prev Vet Med 111 : 112 125.[PubMed][CrossRef]
12. Totton SC,, Farrar AM,, Wilkins W,, Bucher O,, Waddell LA,, Wilhelm BJ,, McEwen SA,, Rajic A . 2012. A systematic review and meta-analysis of the effectiveness of biosecurity and vaccination in reducing Salmonella spp. in broiler chickens. Food Res Int 45 : 617 627.[CrossRef]
13. Totton SC,, Farrar AM,, Wilkins W,, Bucher O,, Waddell LA,, Wilhelm BJ,, McEwen SA,, Rajić A . 2012. The effectiveness of selected feed and water additives for reducing Salmonella spp. of public health importance in broiler chickens: a systematic review, meta-analysis, and meta-regression approach. Prev Vet Med 106 : 197 213.[PubMed][CrossRef]
14. Wilhelm B,, Rajić A,, Parker S,, Waddell L,, Sanchez J,, Fazil A,, Wilkins W,, McEwen SA . 2012. Assessment of the efficacy and quality of evidence for five on-farm interventions for Salmonella reduction in grow-finish swine: a systematic review and meta-analysis. Prev Vet Med 107 : 1 20.[PubMed][CrossRef]
15. Young I,, Rajić A,, Wilhelm BJ,, Waddell L,, Parker S,, McEwen SA . 2009. Comparison of the prevalence of bacterial enteropathogens, potentially zoonotic bacteria and bacterial resistance to antimicrobials in organic and conventional poultry, swine and beef production: a systematic review and meta-analysis. Epidemiol Infect 137 : 1217 1232.[PubMed][CrossRef]
16. Sanchez J,, Dohoo IR,, Christensen J,, Rajic A . 2007. Factors influencing the prevalence of Salmonella spp. in swine farms: a meta-analysis approach. Prev Vet Med 81 : 148 177.[PubMed][CrossRef]
17. Islam MZ,, Musekiwa A,, Islam K,, Ahmed S,, Chowdhury S,, Ahad A,, Biswas PK . 2014. Regional variation in the prevalence of E. coli O157 in cattle: a meta-analysis and meta-regression. PLoS One 9 : e93299.[PubMed][CrossRef]
18. Wilkins W,, Rajić A,, Parker S,, Waddell L,, Sanchez J,, Sargeant J,, Waldner C . 2010. Examining heterogeneity in the diagnostic accuracy of culture and PCR for Salmonella spp. in swine: a systematic review/meta-regression approach. Zoonoses Public Health 57( Suppl 1) : 121 134.[PubMed][CrossRef]
19. O’Connor AM,, Anderson KM,, Goodell CK,, Sargeant JM . 2014. Conducting systematic reviews of intervention questions. I. Writing the review protocol, formulating the question and searching the literature. Zoonoses Public Health 61( Suppl 1) : 28 38.[PubMed][CrossRef]
20. Sargeant JM,, O’Connor AM . 2014. Introduction to systematic reviews in animal agriculture and veterinary medicine. Zoonoses Public Health 61( Suppl 1) : 3 9.[PubMed][CrossRef]
21. Sargeant JM,, Kelton DF,, O’Connor AM . 2014. Study designs and systematic reviews of interventions: building evidence across study designs. Zoonoses Public Health 61( Suppl 1) : 10 17.[PubMed][CrossRef]
22. Sargeant JM,, Kelton DF,, O’Connor AM . 2014. Randomized controlled trials and challenge trials: design and criterion for validity. Zoonoses Public Health 61( Suppl 1) : 18 27.[PubMed][CrossRef]
23. Sargeant JM,, O’Connor AM . 2014. Conducting systematic reviews of intervention questions. II. Relevance screening, data extraction, assessing risk of bias, presenting the results and interpreting the findings. Zoonoses Public Health 61( Suppl 1) : 39 51.[PubMed][CrossRef]
24. Wisener LV,, Sargeant JM,, O’Connor AM,, Faires MC,, Glass-Kaastra SK . 2014. The evidentiary value of challenge trials for three pre-harvest food safety topics: a systematic assessment. Zoonoses Public Health 61 : 449 476.[PubMed][CrossRef]
25. Conn VS,, Isaramalai SA,, Rath S,, Jantarakupt P,, Wadhawan R,, Dash Y . 2003. Beyond MEDLINE for literature searches. J Nurs Scholarsh 35 : 177 182.[PubMed][CrossRef]
26. Crumley ET,, Wiebe N,, Cramer K,, Klassen TP,, Hartling L . 2005. Which resources should be used to identify RCT/CCTs for systematic reviews: a systematic review. BMC Med Res Methodol 5 : 24.[PubMed][CrossRef]
27. McKibbon KA,, Wilczynski NL,, Haynes RB, Hedges Team . 2009. Retrieving randomized controlled trials from MEDLINE: a comparison of 38 published search filters. Health Info Libr J 26 : 187 202.[PubMed][CrossRef]
28. Alpi KM,, Stringer E,, Devoe RS,, Stoskopf M . 2009. Clinical and research searching on the wild side: exploring the veterinary literature. J Med Libr Assoc 97 : 169 177.[PubMed][CrossRef]
29. Grindlay DJ,, Brennan ML,, Dean RS . 2012. Searching the veterinary literature: a comparison of the coverage of veterinary journals by nine bibliographic databases. J Vet Med Educ 39 : 404 412.[PubMed][CrossRef]
30. Meade MO,, Richardson WS . 1997. Selecting and appraising studies for a systematic review. Ann Intern Med 127 : 531 537.[PubMed][CrossRef]
31. Higgins JPT,, Green S (ed) . 2011. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration. www.handbook.cochraneorg.
32. Whiting PF,, Rutjes AW,, Westwood ME,, Mallett S,, Deeks JJ,, Reitsma JB,, Leeflang MM,, Sterne JA,, Bossuyt PM, QUADAS-2 Group . 2011. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155 : 529 536.[PubMed][CrossRef]
33. Broen MP,, Braaksma MM,, Patijn J,, Weber WE . 2012. Prevalence of pain in Parkinson’s disease: a systematic review using the modified QUADAS tool. Mov Disord 27 : 480 484.[PubMed][CrossRef]
34. Shamliyan TA,, Kane RL,, Ansari MT,, Raman G,, Berkman ND,, Grant M,, Janes G,, Maglione M,, Moher D,, Nasser M,, Robinson KA,, Segal JB,, Tsouros S . 2011. Development quality criteria to evaluate nontherapeutic studies of incidence, prevalence, or risk factors of chronic diseases: pilot study of new checklists. J Clin Epidemiol 64 : 637 657.[PubMed][CrossRef]
35. Lewis S,, Clarke M . 2001. Forest plots: trying to see the wood and the trees. BMJ 322 : 1479 1480.[PubMed][CrossRef]
36. Egger M,, Smith GD,, Phillips AN . 1997. Meta-analysis: principles and procedures. BMJ 315 : 1533 1537.[PubMed][CrossRef]
37. Egger M,, Davey Smith G,, Altman DG (ed) . 2001. Systematic Reviews in Health Care: Meta-Analysis in Context, 2nd ed. BMJ Publishing Group, London, United Kingdom.
38. Friedrich JO,, Adhikari NK,, Beyene J . 2007. Inclusion of zero total event trials in meta-analyses maintains analytic consistency and incorporates all available data. BMC Med Res Methodol 7 : 5.[PubMed][CrossRef]
39. DerSimonian R,, Laird N . 1986. Meta-analysis in clinical trials. Control Clin Trials 7 : 177 188.[PubMed][CrossRef]
40. Khan KS,, Kunz R,, Kleijnen J,, Antes G . 2005. Systematic Reviews to Support Evidence-Based Medicine: How to Review and Apply Findings of Healthcare Research. Royal Society of Medicine Press, London, United Kingdom.
41. Higgins JPT,, Thompson SG . 2002. Quantifying heterogeneity in a meta-analysis. Stat Med 21 : 1539 1558.[PubMed][CrossRef]
42. Rücker G,, Schwarzer G,, Carpenter JR,, Schumacher M . 2008. Undue reliance on I( 2) in assessing heterogeneity may mislead. BMC Med Res Methodol 8 : 79.[PubMed][CrossRef]
43. Higgins JP . 2008. Commentary: heterogeneity in meta-analysis should be expected and appropriately quantified. Int J Epidemiol 37 : 1158 1160.[PubMed][CrossRef]
44. Egger M,, Smith GD . 1998. Bias in location and selection of studies. BMJ 316 : 61 66.[PubMed][CrossRef]
45. Thornton A,, Lee P . 2000. Publication bias in meta-analysis: its causes and consequences. J Clin Epidemiol 53 : 207 216.[PubMed][CrossRef]
46. Jüni P,, Holenstein F,, Sterne J,, Bartlett C,, Egger M . 2002. Direction and impact of language bias in meta-analyses of controlled trials: empirical study. Int J Epidemiol 31 : 115 123.[PubMed][CrossRef]
47. Dwan K,, Altman DG,, Arnaiz JA,, Bloom J,, Chan AW,, Cronin E,, Decullier E,, Easterbrook PJ,, Von Elm E,, Gamble C,, Ghersi D,, Ioannidis JP,, Simes J,, Williamson PR . 2008. Systematic review of the empirical evidence of study publication bias and outcome reporting bias. PLoS One 3 : e3081.[PubMed][CrossRef]
48. Snedeker KG,, Totton SC,, Sargeant JM . 2010. Analysis of trends in the full publication of papers from conference abstracts involving pre-harvest or abattoir-level interventions against foodborne pathogens. Prev Vet Med 95 : 1 9.[PubMed][CrossRef]
49. Sterne JAC,, Egger M,, Smith GD . 2001. Systematic reviews in health care: investigating and dealing with publication and other biases in meta-analysis. BMJ 323 : 101 105.[PubMed][CrossRef]
50. Begg CB,, Mazumdar M . 1994. Operating characteristics of a rank correlation test for publication bias. Biometrics 50 : 1088 1101.[PubMed][CrossRef]
51. Egger M,, Davey Smith G,, Schneider M,, Minder C . 1997. Bias in meta-analysis detected by a simple, graphical test. BMJ 315 : 629 634.[PubMed][CrossRef]
52. Moher D,, Liberati A,, Tetzlaff J,, Altman DG,, Group P, PRISMA Group . 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol 62 : 1006 1012.[PubMed][CrossRef]
53. Liberati A,, Altman DG,, Tetzlaff J,, Mulrow C,, Gøtzsche PC,, Ioannidis JP,, Clarke M,, Devereaux PJ,, Kleijnen J,, Moher D . 2009. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med 6 : e1000100.[CrossRef]
54. Jüni P,, Altman DG,, Egger M . 2001. Systematic reviews in health care: assessing the quality of controlled clinical trials. BMJ 323 : 42 46.[PubMed][CrossRef]
55. Kjaergard LL,, Villumsen J,, Gluud C . 2001. Reported methodologic quality and discrepancies between large and small randomized trials in meta-analyses. Ann Intern Med 135 : 982 989.[PubMed][CrossRef]
56. Kunz R,, Oxman AD . 1998. The unpredictability paradox: review of empirical comparisons of randomised and non-randomised clinical trials. BMJ 317 : 1185 1190.[PubMed][CrossRef]
57. Moher D,, Pham B,, Jones A,, Cook DJ,, Jadad AR,, Moher M,, Tugwell P,, Klassen TP . 1998. Does quality of reports of randomised trials affect estimates of intervention efficacy reported in meta-analyses? Lancet 352 : 609 613.[PubMed][CrossRef]
58. Sargeant JM,, Saint-Onge J,, Valcour J,, Thompson A,, Elgie R,, Snedeker K,, Marcynuk P . 2009. Quality of reporting in clinical trials of preharvest food safety interventions and associations with treatment effect. Foodborne Pathog Dis 6 : 989 999.[PubMed][CrossRef]
59. O’Connor AM,, Sargeant JM,, Gardner IA,, Dickson JS,, Torrence ME,, Dewey CE,, Dohoo IR,, Evans RB,, Gray JT,, Greiner M,, Keefe G,, Lefebvre SL,, Morley PS,, Ramirez A,, Sischo W,, Smith DR,, Snedeker K,, Sofos J,, Ward MP,, Wills R, Consensus Meeting Participants . 2010. The REFLECT statement: methods and processes of creating reporting guidelines for randomized controlled trials for livestock and food safety by modifying the CONSORT statement. Zoonoses Public Health 57 : 95 104.[PubMed][CrossRef]
60. Sargeant JM,, O’Connor AM,, Gardner IA,, Dickson JS,, Torrence ME,, Dohoo IR,, Lefebvre SL,, Morley PS,, Ramirez A,, Snedeker K, Consensus Meeting Participants . 2010. The REFLECT statement: reporting guidelines for randomized controlled trials in livestock and food safety: explanation and elaboration. Zoonoses Public Health 57 : 105 136.[PubMed][CrossRef]
61. Wellman NG,, O’Connor AM . 2007. Meta-analysis of treatment of cattle with bovine respiratory disease with tulathromycin. J Vet Pharmacol Ther 30 : 234 241.[PubMed][CrossRef]

This is a required field
Please enter a valid email address
Please check the format of the address you have entered.
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error