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  string(102) "The Role of Fecal Calprotectin in Predicting Clinical Remission and Mucosal Healing in Crohn's Disease"
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  string(525) "Data from phase 4 trials have suggested the use of a fecal calprotectin (FC) threshold of ?250g/g as part of the decision to escalate therapy in Crohn?s disease (CD).1 However, the comparative efficacy of a threshold FC vs. absolute difference in FC from baseline (?FC) in achieving mucosal healing (MH) and clinical remission (CR) has not been investigated. The proposed study will obtain data from the UNITI-1 and UNITI-2 trials to evaluate if ?FC is more likely to predict short-term MH and CR compared to an FC threshold."
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  ["property_scientific_abstract"]=>
  string(1582) "Background and Rationale:

Fecal calprotectin (FC) is a validated biomarker for inflammation in Crohn?s disease (CD). However, it is unknown what is the optimal way to use FC in order to monitor patients with CD and to predict who is likely to experience good outcomes. 

Objectives:

This study aims to compare ?FC and a threshold FC in predicting mucosal healing (MH) and clinical remission (CR) in CD patients. 

Study Design:

UNITI-1 and UNITI-2 were two multicentre, double-blinded, placebo-controlled trials that randomized patients to ustekinumab or placebo in CD. This study will use data from these studies to determine if using the ?FC from week 0 to week 6 can predict MH and CR at week 8 and how this compared with using an absolute FC threshold of 250g/g.

Participants:

Patients were eligible for UNITI-1 and UNITI-2 if they had moderate-to-severe CD and if they were failing conventional therapies or anti-TNF therapy.

Main Outcome Measure(s):

For this study, the primary outcome measure will be MH at week 8. Secondary outcome measures include CR at week 8. The Simple Endoscopic Score for Crohn?s Disease (SES-CD) will be used to evaluate inflammation and the presence of MH at week 8.   

Statistical Analysis:

Receiver operating curves (ROC) will be generated to compare the ability of an absolute FC threshold and ?FC to predict each outcome of interest, MH and CR. The area under the curve (AUC) will be compared between groups to evaluate the model?s relative ability to predict MH and CR."
  ["project_brief_bg"]=>
  string(1582) "In inflammatory bowel disease (IBD), endoscopy is the gold standard for evaluating mucosal inflammation [2]. However, several drawbacks to endoscopy exist, including limited access in some regions, and the invasiveness, cost, and discomfort of the procedure [2,3]. Therefore, there is a need to identify alternatives of comparable accuracy to endoscopy. Serological markers such as C-reactive protein (CRP) have largely been used to assess inflammation in IBD. However, these markers more appropriately reflect systemic inflammatory processes and lack specificity for inflammation in the context of IBD [4]. More recently, fecal calprotectin (FC) has been adopted as a validated novel biomarker for IBD. Several pooled analyses have demonstrated its utility in evaluating disease activity and predicting relapse in IBD [5?7].

CALM (ClinicalTrials.gov number: NCT01235689) was a pivotal multicentre, open-label, phase 3 randomized trial which compared two algorithmic approaches to treatment escalation in CD based on symptoms, CRP, and FC vs. symptoms alone [1]. Findings from the study suggest that treatment escalation on the basis of symptoms and biomarkers with specific thresholds (i.e. FC ?250g/g) is a more robust strategy to achieve MH in CD patients. However, it is unclear whether the decision to escalate treatment based on a prespecified FC threshold is the most optimal approach. One alternative is to use ?FC, which is hypothesized to be more appropriate. As no studies to date have been conducted on this comparison, this question merits further investigation."
  ["project_specific_aims"]=>
  string(128) "This project aims to compare the efficacy of two approaches, ?FC at week 6 compared to baseline at week 0 and an FC threshold of"
  ["project_study_design"]=>
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  ["project_purposes"]=>
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  }
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  ["project_research_methods"]=>
  string(1196) "This study will utilize data from the Yale University Open Data Access (YODA) Project. Participant-level data will be required for the following trials: UNITI-1 (ClinicalTrial.gov number: NCT01369329) and UNITI-2 (ClinicalTrial.gov number: NCT01369342). Both were phase 3, multicentre, placebo-controlled randomized trials. In UNITI-1 and UNITI-2, FC was collected at baseline and week 6 [8]. Therefore, an FC threshold of 250g/g at week 6 will be compared to different ?FC percentages from baseline (i.e. 50% reduction from baseline, 75% reduction from baseline, etc). Participants must meet all of the following criteria to be eligible for study inclusion [8]: ?18 years of age, CD for at least 3 months, moderate-to-severe CD (defined as a CDAI score 220-450), nonresponse to anti-TNF therapy or treatment failure or intolerance to immunomodulators and/or glucocorticoids. Participants who meet any of the following criteria are not eligible for study inclusion [8]: Bowel resection within 6 months, received infliximab, adalimumab or certolizumab pegol ?8 weeks beforereceiving study drug, ongoing chronic or recurrent infection, previously received a biologic agent targeting IL-12 or IL-23."
  ["project_main_outcome_measure"]=>
  string(342) "In both UNITI trials, patients underwent an endoscopy at baseline and week 8. MH and CR were evaluated at week 8. Thus, for this study, the main outcome measures include MH and CR at week 8. MH is defined as the absence of any mucosal ulceration on endoscopy if ulceration was present on previous endoscopies. CR is defined as a CDAI score of"
  ["project_main_predictor_indep"]=>
  string(574) "The primary outcome of the study is MH, which will be evaluated at week 8. To evaluate MH, endoscopic evaluations will be used at baseline and week 8. The SES-CD was used to evaluate disease activity and inflammation based on endoscopic evaluation. The SES-CD scores the same five ileocolonic segments based on four parameters: presence and size of ulcers, proportion of surface covered by ulcers, proportion of affected surface, and presence and severity of stenosis [9]. Patients are considered to have endoscopic healing of their bowel if their SES-CD score is 2 or less."
  ["project_other_variables_interest"]=>
  string(202) "CR is another outcome measure of interest for which CDAI scores will be evaluated at week 8. The CDAI is a tool consisting of eight variables used to assess the quality of life of patients with CD [10]."
  ["project_stat_analysis_plan"]=>
  string(1227) "Baseline data, such as patient demographics and disease characteristics, will be summarized using descriptive statistics. Continuous variables will be reported as means or medians with corresponding standard deviations or interquartile ranges, respectively. Fischer?s exact test will be used to compare the proportion of patients who achieve EH and CR in each group.

To compare how well the FC threshold and ?FC can predict the outcomes of interest (i.e. EH and CR), the true positive rate (i.e. sensitivity) will be plotted against the false positive rate (i.e. 1 ? specificity) to generate Receiver Operative Characteristic (ROC) curves. The performance of each model will be determined based on the area under the curve (AUC). If the AUC of the ?FC model is greater than that of the FC threshold, the ?FC model is better able to predict the outcome of interest. Patients will be classified dichotomously for each outcome of interest at week 8 (i.e. 0=not achieved, 1=achieved).  

Data from the YODA project will be accessed remotely in a secure environment by designated study investigators. Analyses with data provided by the YODA project will be conducted using the software available on the remote platform."
  ["project_timeline"]=>
  string(227) "Date to Start Project: November ? December 2019.

Date to Complete Analysis: December 2019 ? January 2020.

Date to Draft Manuscript: January ? February 2020.

Date to Submit Manuscript: February ? March 2020."
  ["project_dissemination_plan"]=>
  string(506) "Results from the study may be communicated to target audiences through posters, abstracts, and presentations. These may be submitted to conferences such as Canadian Digestive Diseases Week, Digestive Disease Week, and European Crohn?s and Colitis Organisation. Further, a manuscript may be completed and submitted for publication in a relevant peer-reviewed journal. The investigators will acknowledge use of data from the YODA Project on all study products, which will be shared at the time of submission."
  ["project_bibliography"]=>
  string(2540) "
1. Colombel JF, Panaccione R, Bossuyt P, Lukas M, Baert F, Va?sek T, Danalioglu A, Novacek G, Armuzzi A, Hbuterne X, Travis S. Effect of tight control management on Crohn’s disease (CALM): a multicentre, randomised, controlled phase 3 trial. The Lancet. 2017 Dec 23;390(10114):2779-89.

2. Stange EF, Travis SP, Vermeire S, Reinisch W, Geboes K, Barakauskiene A, Feakins R, Fljou JF, Herfarth H, Hommes DW, Kupcinskas L. European evidence-based consensus on the diagnosis and management of ulcerative colitis: definitions and diagnosis. Journal of Crohn’s and Colitis. 2008 Mar 1;2(1):1-23..

3. Ristvedt SL, McFarland EG, Weinstock LB, Thyssen EP. Patient preferences for CT colonography, conventional colonoscopy, and bowel preparation. The American journal of gastroenterology. 2003 Mar 1;98(3):578-85..

4. Gisbert JP, Gonzalez-Lama Y, Mate J. Role of biological markers in inflammatory bowel disease. Gastroenterologia y hepatologia. 2007 Mar;30(3):117-29.

5. Mao R, Xiao YL, Gao X, Chen BL, He Y, Yang L, Hu PJ, Chen MH. Fecal calprotectin in predicting relapse of inflammatory bowel diseases: a meta-analysis of prospective studies. Inflammatory bowel diseases. 2012 Jan 11;18(10):1894-9.

6. Lin JF, Chen JM, Zuo JH, Yu A, Xiao ZJ, Deng FH, Nie B, Jiang B. Meta-analysis: fecal calprotectin for assessment of inflammatory bowel disease activity. Inflammatory bowel diseases. 2014 Jun 30;20(8):1407-15.

7. Van Rheenen PF, Van de Vijver E, Fidler V. Faecal calprotectin for screening of patients with suspected inflammatory bowel disease: diagnostic meta-analysis. Bmj. 2010 Jul 15;341:c3369.

8. Feagan BG, Sandborn WJ, Gasink C, Jacobstein D, Lang Y, Friedman JR, Blank MA, Johanns J, Gao LL, Miao Y, Adedokun OJ. Ustekinumab as induction and maintenance therapy for Crohn?s disease. New England Journal of Medicine. 2016 Nov 17;375(20):1946-60.

9. Daperno M, D’Haens G, Van Assche G, Baert F, Bulois P, Maunoury V, Sostegni R, Rocca R, Pera A, Gevers A, Mary JY. Development and validation of a new, simplified endoscopic activity score for Crohn’s disease: the SES-CD. Gastrointestinal endoscopy. 2004 Oct 1;60(4):505-12.

10. Irvine EJ, Feagan B, Rochon J, Archambault A, Fedorak RN, Groll A, Kinnear D, Saibil F, McDonald JW, Canadian Crohn’s Relapse Prevention Trial Study Group. Quality of life: a valid and reliable measure of therapeutic efficacy in the treatment of inflammatory bowel disease. Gastroenterology. 1994 Feb 1;106(2):287-96.
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    string(15) "application/pdf"
    ["type"]=>
    string(11) "application"
    ["subtype"]=>
    string(3) "pdf"
    ["icon"]=>
    string(62) "https://yoda.yale.edu/wp/wp-includes/images/media/document.png"
  }
  ["project_highlight_button"]=>
  array(3) {
    ["title"]=>
    string(22) "Publication Available!"
    ["url"]=>
    string(41) "https://pubmed.ncbi.nlm.nih.gov/32931556/"
    ["target"]=>
    string(6) "_blank"
  }
  ["request_data_partner"]=>
  string(15) "johnson-johnson"
  ["search_order"]=>
  string(5) "-9690"
  ["request_overridden_res"]=>
  string(1) "1"
  ["principal_investigator"]=>
  array(7) {
    ["first_name"]=>
    string(0) ""
    ["last_name"]=>
    string(0) ""
    ["degree"]=>
    string(0) ""
    ["primary_affiliation"]=>
    string(0) ""
    ["email"]=>
    string(0) ""
    ["state_or_province"]=>
    string(0) ""
    ["country"]=>
    string(0) ""
  }
}
data partner
array(1) {
  [0]=>
  string(15) "johnson-johnson"
}


pi country
array(1) {
  [0]=>
  string(6) "Canada"
}


pi affil
array(1) {
  [0]=>
  string(5) "Other"
}


products
array(1) {
  [0]=>
  string(7) "stelara"
}


num of trials
array(1) {
  [0]=>
  string(1) "3"
}


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