Evidence map›Paper›PMID 29206816›Full record

ArticleThe American journal of gastroenterology2018

Optimizing Selection of Biologics in Inflammatory Bowel Disease: Development of an Online Patient Decision Aid Using Conjoint Analysis.

Christopher V Almario, Michelle S Keller, Michelle Chen, Karen Lasch, Lyann Ursos, Julia Shklovskaya, Gil Y Melmed, Brennan M R Spiegel

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In one paragraph

Article in The American journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Discordance between observer and patient-reported shared decision-making in inflammatory bowel disease: A multicenter cross-sectional study.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2026
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  4. Review
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  6. Observational
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  13. Determining patient preferences for the medical management of osteoporosis using conjoint analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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  14. Review
  15. Article
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  18. Patient-Preference Diagnostics: Adapting Stated-Preference Methods to Inform Effective Shared Decision Making.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Christopher V AlmarioDivision of Health Services Research, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Michelle S KellerDivision of Health Services Research, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Michelle ChenDivision of Health Services Research, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Karen LaschTakeda Pharmaceuticals U.S.A., Inc., Deerfield, Illinois, USA.
Lyann UrsosTakeda Pharmaceuticals U.S.A., Inc., Deerfield, Illinois, USA.
Julia ShklovskayaTakeda Pharmaceuticals U.S.A., Inc., Deerfield, Illinois, USA.
Gil Y MelmedDivision of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Brennan M R SpiegelDivision of Health Services Research, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Funding

Using polygenic scores to enhance both variant discovery, and understanding of functional consequences of genetic variation in IBD.P01DK046763 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI TARGAN, STEPHAN R. · 1992 to 2020
$31.1M
Characterizing the gut microbial ecosystem for diagnosis and therapy in IBDU54DK102557 · NIDDK · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS, XAVIER, RAMNIK J · 2014 to 2015
$7.7M
NIDDK NIH HHS P01 DK046763NIDDK NIH HHS U54 DK102557
6 · The paper itself

Abstract

objectivesRecent drug approvals have increased the availability of biologic therapies for inflammatory bowel disease (IBD), making it difficult for patients with ulcerative colitis (UC) and Crohn's disease (CD) to navigate treatment options. Here we developed a conjoint analysis to examine patient decision-making surrounding biologic medicines for IBD. We used the results to create an online patient decision aid that generates a unique "preferences report" for each patient to assist with shared decision-making with their provider.

methodsWe administered an adaptive choice-based conjoint survey to IBD patients that quantifies the relative importance of biologic attributes (e.g., efficacy, side effect profile, mode of administration, and mechanism of action) in decision making. The conjoint software determined individual patient preferences by calculating part-worth utilities for each attribute. We conducted regression analyses to determine if demographic and disease characteristics (e.g., type of IBD and severity) predicted how patients made decisions.

results640 patients completed the survey (UC=304; CD=336). In regression analyses, demographics and IBD characteristics did not predict individual patient preferences; the main exception was IBD type. When compared to UC, CD patients were more likely to report side effect profile as most important (odds ratio (OR) 1.63, 95% confidence interval (CI) 1.16-2.30). Conversely, those with UC were more likely to value therapeutic efficacy (OR 1.41, 95% CI 1.01-2.00).

conclusionsBiologic decision-making is highly personalized; demographic and disease characteristics poorly predict individual preferences, indicating that IBD patients are unique and difficult to statistically categorize. The online decision tool resulting from this study (www.ibdandme.org) may be used by patients to support shared decision-making and optimize personalized biologic selection with their provider.

Indexed as

Decision Support TechniquesInternetPatient ParticipationPatient PreferenceAdalimumabAdministration, IntravenousAdolescentAdultAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiological ProductsCertolizumab PegolChoice BehaviorColitis, UlcerativeCrohn DiseaseDecision MakingAdalimumabAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiological ProductsCertolizumab PegolGastrointestinal AgentsgolimumabInfliximabNatalizumabUstekinumabvedolizumab

Identifiers

PMID29206816

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.