Evidence map›Paper›PMID 33141087›Full record

ArticleJournal of medical Internet research2020

Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study.

Florent Schäfer, Carole Faviez, Paméla Voillot, Pierre Foulquié, Matthieu Najm, Jean-François Jeanne, Guy Fagherazzi, Stéphane Schück, Boris Le Nevé

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 13% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 3 countries.

Florent SchäferInnovation Science and Nutrition, Danone Nutricia Research, Palaiseau, France.ORCID 0000-0001-6816-5731
Carole FaviezKap Code, Paris, France.ORCID 0000-0002-1500-0236
Paméla VoillotKap Code, Paris, France.ORCID 0000-0001-7156-9075
Pierre FoulquiéKap Code, Paris, France.ORCID 0000-0003-4485-0835
Matthieu NajmKap Code, Paris, France.ORCID 0000-0001-9757-1499
Jean-François JeanneInnovation Science and Nutrition, Danone Nutricia Research, Palaiseau, France.ORCID 0000-0002-5074-4679
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID 0000-0001-5033-5966
Stéphane SchückKap Code, Paris, France.ORCID 0000-0003-2642-7726
Boris Le NevéInnovation Science and Nutrition, Danone Nutricia Research, Palaiseau, France.ORCID 0000-0003-3892-9045
Danone (France) · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal (GI) discomfort is prevalent and known to be associated with impaired quality of life. Real-world information on factors of GI discomfort and solutions used by people is, however, limited. Social media, including online forums, have been considered a new source of information to examine the health of populations in real-life settings.

objectiveThe aims of this retrospective infodemiology study are to identify discussion topics, characterize users, and identify perceived determinants of GI discomfort in web-based messages posted by users of French social media.

methodsMessages related to GI discomfort posted between January 2003 and August 2018 were extracted from 14 French-speaking general and specialized publicly available online forums. Extracted messages were cleaned and deidentified. Relevant medical concepts were determined on the basis of the Medical Dictionary for Regulatory Activities and vernacular terms. The identification of discussion topics was carried out by using a correlated topic model on the basis of the latent Dirichlet allocation. A nonsupervised clustering algorithm was applied to cluster forum users according to the reported symptoms of GI discomfort, discussion topics, and activity on online forums. Users' age and gender were determined by linear regression and application of a support vector machine, respectively, to characterize the identified clusters according to demographic parameters. Perceived factors of GI discomfort were classified by a combined method on the basis of syntactic analysis to identify messages with causality terms and a second topic modeling in a relevant segment of phrases.

resultsA total of 198,866 messages associated with GI discomfort were included in the analysis corpus after extraction and cleaning. These messages were posted by 36,989 separate web users, most of them being women younger than 40 years. Everyday life, diet, digestion, abdominal pain, impact on the quality of life, and tips to manage stress were among the most discussed topics. Segmentation of users identified 5 clusters corresponding to chronic and acute GI concerns. Diet topic was associated with each cluster, and stress was strongly associated with abdominal pain. Psychological factors, food, and allergens were perceived as the main causes of GI discomfort by web users.

conclusionsGI discomfort is actively discussed by web users. This study reveals a complex relationship between food, stress, and GI discomfort. Our approach has shown that identifying web-based discussion topics associated with GI discomfort and its perceived factors is feasible and can serve as a complementary source of real-world evidence for caregivers.

Indexed as

AdultFemaleGastrointestinal DiseasesHumansInternetLanguageMaleMiddle AgedQuality of LifeRetrospective StudiesSocial MediaTelemedicineTime FactorsYoung Adultdisorders of gut-brain interactionsgastrointestinal discomfortinfodemiologysocial mediatopic modeling

Identifiers

PMID33141087
PMCPMC7671840
OpenAlexW3037974071

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.