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  string(103) "The impact of biological interventions on health?related quality of life in adults with Crohn's disease"
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  string(478) "Crohn disease is a very aggressive inflammatory gastrointestinal disease which substantially decrease health-related quality of life in patients. Different strategies are involved to influence on disease course (surgery, drug treatment). Biologic drugs represent a revolution in this field of medicine decreasing disease symptoms. The aim of this study is to examine if biologicals could influence on health-related quality of life which represent a final goal for the patients."
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      ["p_pers_f_name"]=>
      string(7) "Mirjana"
      ["p_pers_l_name"]=>
      string(12) "Stanic Benic"
      ["p_pers_degree"]=>
      string(2) "MD"
      ["p_pers_pr_affil"]=>
      string(10) "UHC Rijeka"
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    ["value"]=>
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    ["label"]=>
    string(68) "No external grants or funds are being used to support this research."
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  ["project_date_type"]=>
  string(8) "Full CSR"
  ["property_scientific_abstract"]=>
  string(1302) "Background:   Recent studies often reported QoL outcomes in addition to clinical disease activity indices of biological treatment in patients with Crohn's disease. However, no systematic review has examined QoL outcomes in these specific patients populations treated with biologic agents.

Objective: To systematically assess the beneficial and harmful effects of the biologic treatment on HRQoL outcomes in people with

Crohn?s disease.

Study Design: Cochrane Systematic review with meta-analysis.

Participants: Adults (>18 years of age) with Crohn?s disease as defined by a combination of clinical, biochemical, radiological, endoscopic and histological criteria and treated with biological drugs will be considered for the inclusion.

Main Outcome Measure: Change in HRQoL scores as defined by the included studies.

Statistical Analysis: For continuous outcomes, we will calculate the mean difference (MD) and corresponding 95% confidence interval (95% CI) if the same tool has been used to measure the same outcome across different studies. We will calculate the standardized mean difference (SMD) when different tools have been used to measure the same underlying construct. For dichotomous outcomes, we will calculate the risk ratio (RR) and corresponding 95% CI."
  ["project_brief_bg"]=>
  string(970) "HRQoL represents a functional effect of the disease and it is one of the main issues in people with CD. Modifying the disease course, the biological treatment may have a substantial effect on HRQoL and therefore would be beneficial to be introduced earlier in the treatment with regard to HRQoL outcomes (Bodger 2002). Studies increasingly include HRQoL as a secondary outcome and no systematic review has clearly established the evidence for an improvement

in HRQoL in this population. A previous literature review on the impact of biologics on HRQoL in IBD patients has been limited in the scope and time of the articles retrieved (IBD population, including both CD and ulcerative colitis) and methodological concept (articles only in English, only IBDQ and SF-36 as outcome measures) (Vogelaar 2009). This review endeavors to address an up-to-date critical view of growing evidence on the impact of biological interventions in improving HRQoL in people with CD."
  ["project_specific_aims"]=>
  string(278) "The aim of this project is to systematically assess the beneficial and harmful effects of the biologic treatment on HRQoL outcomes in people with

Crohn?s disease.  The main hypotheses is that biological drugs could have a positive impact on health-related quality of life."
  ["project_study_design"]=>
  string(0) ""
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  ["project_purposes"]=>
  array(4) {
    [0]=>
    array(2) {
      ["value"]=>
      string(114) "New research question to examine treatment effectiveness on secondary endpoints and/or within subgroup populations"
      ["label"]=>
      string(114) "New research question to examine treatment effectiveness on secondary endpoints and/or within subgroup populations"
    }
    [1]=>
    array(2) {
      ["value"]=>
      string(32) "Summary-level data meta-analysis"
      ["label"]=>
      string(32) "Summary-level data meta-analysis"
    }
    [2]=>
    array(2) {
      ["value"]=>
      string(69) "Meta-analysis using data from the YODA Project and other data sources"
      ["label"]=>
      string(69) "Meta-analysis using data from the YODA Project and other data sources"
    }
    [3]=>
    array(2) {
      ["value"]=>
      string(28) "Research on comparison group"
      ["label"]=>
      string(28) "Research on comparison group"
    }
  }
  ["project_purposes_exp"]=>
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  ["project_software_used"]=>
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  ["project_software_used_exp"]=>
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  ["project_research_methods"]=>
  string(1143) "The following databases will be searched: MEDLINE (via PubMed; 1946 to present); Embase (via Ovid; 1974 to present); the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library current issue); the Cochrane IBD Inflammatory Bowel Disease and Functional Bowel Disorders Specialized Trial Register (IBD/FBD Group Specialized Register), Science Citation Index Expanded (SCIE) ( Institute for Scientific Information Web of Knowledge), Digestive Disease Week (DDW) abstracts of RCTs (1981 to present. Inclusion criteria are: RCTs assessing the impact of biological interventions on HRQoL in people with Crohn's disease irrespective of publication status, language, or blinding procedure will be included. Studies assessing all recognized biological interventions for the treatment of Crohn's disease will be considered for evaluation (e.g. infliximab, adalimumab, certolizumab pegol, natalizumab, ustekinumab, briakinumab, vedolizumab, and recombinant human interleukin 10). The comparison will be a placebo or an active comparator. Exclusion criteria: no diagnosis of Cronh, no treatment with biologicals and no HRQL results."
  ["project_main_outcome_measure"]=>
  string(1006) "Also, there are instances in the proposal where examination of adverse events (harm) is discussed - but these outcomes are not defined.

MSB: Yes, all MAN outcome(s) are defined. Harm includes secondary outcomes (type and frequency) and will include:

1a. All adverse events; 1b. Serious adverse events; and 1c. Withdrawal due to adverse events.

Other secondary outcomes include 2. Improvement in workplace productivity. 3. Improvement in fatigue.

From requested studies within Yoda, we will extract data on HRQL results (mainly IBDQ results) as a baseline and final means +/- S.D. OR medians + interquartile range for all groups of patients investigated. So, we urgently need data for the whole groups, not patient-level individual data. For example, if there are two groups of patients, one treated with adalimumab and another with placebo, we need these data: baseline and final IBDQ scores for the placebo group and baseline and final IBDQ scores for the adalimumab-treated group."
  ["project_main_predictor_indep"]=>
  string(128) "Therapeutic option (biological drug, placebo) will be an independent variable which will define groups of patients for analysis."
  ["project_other_variables_interest"]=>
  string(975) "Finally, the investigators explain that no other variables of interest will be used or examined. But that seems unlikely. Will subgroup analyses by patient age, sex, disease severity, etc. not be pursued?

MSB: subgroup analysis  including biologic-naive patients versus patients who had already been receiving biologic treatment;

anti-TNF versus non-anti-TNF agents; and different doses of the biological drugs will be involved, if enough data will be presented for analysis. All you mentioned (age, sex, etc...) are presented in the papers already published for the requested studies and are not data of our interest at all. For the above stated potential subgroup analysis, we will perform it if there will be enough data, but it is not of the main interest for us. 

There is no other variable of interest, except the above stated - main outcome (Change in HRQoL scores as defined by the included studies: means +/- S.D. OR medians + Interquartile range.)"
  ["project_stat_analysis_plan"]=>
  string(3237) "The outcome variable is clear (changes in HRQoL), but the statistical analysis plan offers explanation for analyses dependent upon whether the outcome is continuous or categorical - isn't the outcome a continuous variable?

MSB: Although the main outcome IS a continuous variable, statistical analysis plan include a description of all theoretical situation or, in other words, in statistical analysis plan we mentioned also a categorical variable as some of the secondary outcomes (adverse drug reactions/harm) could be presented as 0_there is no event or 1_there was an event. 

Measures of treatment effect

For continuous outcomes, we will calculate the mean difference (MD) and corresponding 95% confidence interval

(95% CI) if the same tool has been used to measure the same outcome across different studies. We will calculate the

standardized mean difference (SMD) when different tools have been used to measure the same underlying construct.

For dichotomous outcomes, we will calculate the risk ratio (RR) and corresponding 95% CI. Where studies report

adverse events as dichotomous data, we will report on the proportion of participants experiencing the event in each

study arm. We will report descriptive results for adverse event data that cannot be extracted as dichotomous

outcomes as described above (Higgins 2011).

Unit of analysis issues

If there are multiple observations for the same outcome, we will make an effort to combine outcomes for fixed follow-up

intervals. We plan to evaluate outcomes at maximum follow-up as defined by individual studies. For cross-over trials, we will

use data from the first phase of the trial (i.e. before any cross-over). HRQoL outcomes and safety among different doses of

biological drugs will be compared using subgroup analyses where possible. Studies with control groups using different types

of interventions (e.g. placebo or active treatment), studies with cluster randomised treatment groups and studies with multiple

treatment groups e.g. dose groups) will be analysed separately and will not be combined in a single meta-analysis.

Dealing with missing data

We will attempt to contact the authors of included studies to obtain missing data. In the case of missing data despite our

attempts to contact authors, the following strategies will be considered. For missing dichotomous outcomes, two scenarios

will be considered, the best-case scenario in which all patients with incomplete data will be assumed to be a treatment

success with regard to QoL and a worst-case scenario in which all patients with incomplete data will be assumed to be

treatment failures with regard to QoL. We will use sensitivity analysis to assess the impact of these assumptions on the effect

estimate. We will use an available case analysis for missing continuous outcomes and assumptions about participants with

missing data will not be made. We will contact the authors of studies published in abstract form for relevant missing data and

these studies will only be included in the review if enough data are provided to assess outcomes and risk of bias."
  ["project_timeline"]=>
  string(126) "All analysis should be finished to the end of Januray 2019. To the end of february 2019 systematic review should be published."
  ["project_dissemination_plan"]=>
  string(136) "the Cochrane review will be available through the Cochrane platform online and published in the Cochrane Database of Systematic Reviews."
  ["project_bibliography"]=>
  string(369) "
Stanic Benic  M, Giljaca  V, Vlahovic?Palcevski  V. The impact of biological interventions on health?related quality of life in adults with Crohn’s disease. Cochrane Database of Systematic Reviews 2018, Issue 2. Art. No.: CD012973. DOI: 10.1002/14651858.CD012973. Available online at https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD012973/full
"
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data partner
array(1) {
  [0]=>
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}


pi country
array(1) {
  [0]=>
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}


pi affil
array(1) {
  [0]=>
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}


products
array(2) {
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  [1]=>
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}


num of trials
array(1) {
  [0]=>
  string(1) "6"
}


res
array(1) {
  [0]=>
  string(1) "3"
}