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Antiamoebic drugs for treating amoebic colitis - The Cochrane Library

Antiamoebic drugs for treating amoebic colitis - The Cochrane Library

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trial authors <strong>for</strong> clarification. We noted the reasons <strong>for</strong> excluding<br />

studies.<br />

Data extraction and management<br />

Two authors (MLM Gonzales and EG Martinez) independently<br />

extracted data from the trials using pre-tested data extraction<br />

<strong>for</strong>ms. We collected details regarding the inclusion and exclusion<br />

criteria <strong>for</strong> the participants, treatment intervention given, total<br />

number randomized, number of participants in each group <strong>for</strong> all<br />

outcomes, drop outs and withdrawals, and numbers experiencing<br />

each outcome. For dichotomous data, we extracted the number of<br />

participants who experienced the event of interest and the number<br />

of participants randomized and analysed in each treatment group.<br />

We resolved any disagreements by referring to the trial report and<br />

through discussion. Where data were insufficient or missing, we<br />

made attempts to contact the trial authors. MLM Gonzales entered<br />

data <strong>for</strong> analysis using double data entry.<br />

Assessment of risk of bias in included studies<br />

Two authors (MLM Gonzales and LF Dans) independently assessed<br />

the risk of bias in each trial using a prepared <strong>for</strong>m. We assessed<br />

the generation of allocation sequence and allocation concealment<br />

as adequate, inadequate, or unclear according to Jüni<br />

2001. We noted who was blinded, such as the trial participants,<br />

care providers, or outcome assessors, and assessed the inclusion<br />

of randomized participants in the analysis as adequate if 90% or<br />

greater, and inadequate if not.<br />

Assessment of reporting biases<br />

We determined publication bias by looking <strong>for</strong> asymmetry in a<br />

funnel plot. <strong>The</strong> presence of asymmetry in the funnel plot suggests<br />

possible publication bias, although it may also indicate heterogeneity<br />

or poor methodological quality of the trials.<br />

Data synthesis<br />

We analysed data collected using Review Manager 5. For dichotomous<br />

outcomes, we calculated risk ratios (RR) with 95% confidence<br />

intervals (CI).<br />

Stratification of results<br />

<strong>The</strong> main comparisons were between any single anti<strong>amoebic</strong> drug<br />

and metronidazole (current standard therapy), any anti<strong>amoebic</strong><br />

drug and placebo, combination regimens and monotherapy, and<br />

any single-dose regimen and longer regimens. We included but<br />

did not pool data from other trials that compared any anti<strong>amoebic</strong><br />

drug with another anti<strong>amoebic</strong> drug and did not address any particular<br />

pharmacological or clinical question relevant to this review.<br />

For trials reporting results at multiple or varying time points, we<br />

per<strong>for</strong>med separate analyses <strong>for</strong> outcomes measured from the end<br />

of treatment to 14 days and from 15 to 60 days after the end of<br />

treatment. In trials comparing <strong>drugs</strong> with different treatment durations,<br />

we measured the time point in relation to the last day of<br />

the longest treatment period. We did not consider outcomes that<br />

were measured during treatment or be<strong>for</strong>e completion of treatment.<br />

Likewise, we did not include outcomes measured beyond<br />

two months because this could be a reinfection rather than true<br />

failure or relapse.<br />

Heterogeneity<br />

We calculated summary RR from meta-analysis using both a fixedeffect<br />

model (Mantel-Haenszel method), which assumes trial homogeneity,<br />

and a random-effects model (DerSimonian and Laird<br />

method), which accounts <strong>for</strong> trial heterogeneity.<br />

We reported results using the random-effects model when there<br />

were differences between trials that may potentially influence the<br />

size of the treatment effect or when significant statistical heterogeneity<br />

was detected. We determined the presence of statistical<br />

heterogeneity among the same interventions by inspecting the <strong>for</strong>est<br />

plots <strong>for</strong> overlapping confidence intervals and by applying the<br />

Chi 2 test <strong>for</strong> heterogeneity (P value < 0.10 considered statistically<br />

significant) and the I 2 statistic to quantify inconsistency across trials<br />

(I 2 value of greater than 50% used to denote substantial heterogeneity).<br />

If heterogeneity was detected, but it was still considered<br />

clinically meaningful to combine trial data, we explored potential<br />

sources of heterogeneity using subgroup analysis. Only subtotals<br />

<strong>for</strong> each subgroup were presented if the pooled results showed significant<br />

heterogeneity. We determined clinical categories (<strong>amoebic</strong><br />

dysentery, nondysenteric <strong>amoebic</strong> <strong>colitis</strong>, or unspecified <strong>amoebic</strong><br />

<strong>colitis</strong>) and participant age (adults were those aged 15 years or<br />

more, and children were those aged less than 15 years) to be important<br />

subgroups even be<strong>for</strong>e data collection although we failed<br />

to specify this in the protocol. Subgroup analysis could not be<br />

undertaken as planned based on diagnostic tests because only one<br />

trial used a stool E. histolytica ELISA test. <strong>The</strong> post hoc sources of<br />

heterogeneity considered were types of intestinal infection (E. histolytica<br />

infection alone or mixed intestinal infection), criteria <strong>for</strong><br />

determining outcome (based on WHO 1969 criteria or another<br />

criteria), and regimens used.<br />

Sensitivity analysis<br />

<strong>Anti<strong>amoebic</strong></strong> <strong>drugs</strong> <strong>for</strong> <strong>treating</strong> <strong>amoebic</strong> <strong>colitis</strong> (Review)<br />

Copyright © 2009 <strong>The</strong> <strong>Cochrane</strong> Collaboration. Published by John Wiley & Sons, Ltd.<br />

We per<strong>for</strong>med sensitivity analyses to assess the robustness of the<br />

overall estimates by calculating the results using all trials and then<br />

excluding trials of a lower methodological quality (ie trials with<br />

inadequate generation of allocation sequence, allocation concealment,<br />

or blinding, or trials where less than 90% of randomized<br />

participants were analysed), and excluding trials that were sponsored<br />

by pharmaceutical companies. Although pharmaceuticalsponsored<br />

trials may publish only where demonstrating positive<br />

treatment effects, it may also be possible that pharmaceutical-<br />

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