ArticleUnited European gastroenterology journal2023
Self-reported treatment effectiveness for Crohn's disease using a novel crowdsourcing web-based platform.
Article in United European gastroenterology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- UEG onwards & upwards: A president's perspective.United European gastroenterology journal · 2024Article
- Self-reported treatment effectiveness for Crohn's disease using a novel crowdsourcing web-based platform.United European gastroenterology journal · 2023Article
- Surfing the web as a patient with IBD: New horizons.United European gastroenterology journal · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsInternet and social media platforms have become an unprecedented source for sharing self-experience, potentially allowing the collection and integration of health data with patient experience. StuffThatWorks (STW) is an online open platform that applies machine learning and the power of crowdsourcing, where patients with chronic medical conditions can self-report and compare their individual outcomes using a structured online questionnaire. We aimed to conduct a cross-sectional, international, crowdsourcing, artificial-intelligence (AI) web-based study of patients with Crohn's disease (CD) self-reporting their outcomes.
methodsA proprietary STW Bayesian inference model was built to measure improvement in CD severity (on scale of 1-5) for each treatment and ranked treatments using effectiveness. The effectiveness of first-line biological treatments was analyzed by multiple comparisons and by calculating odds ratios and 95% confidence intervals for each treatment pair.
resultsWe included 7593 self-reported CD patients for the analysis. Most of the participants were female (75.8%) and from English-speaking countries (95.7%). Overall, anti-TNF drugs were the most reported tried treatment (52.8%). Infliximab (IFX) was ranked as the most effective treatment by the STW effectiveness model followed by bowel surgery (second), adalimumab (ADA, third), ustekinumab (UST, 4rd), and vedolizumab (VDZ, fifth). In paired comparison analyses, IFX was most effective, ADA had similar effectiveness compared to UST and all three were more effective than VDZ.
conclusionWe present the first online crowdsourcing AI platform-based study of self-reported treatment effectiveness in CD. Net-based crowdsourcing patient-reported outcome platforms can potentially help both clinicians and patients select the best treatment for their condition.
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Registered trials
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.