Evidence map›Paper›PMID 41111780›Full record

ArticleCureus2025

Social Media Challenge Gone Wrong: A Severe Case of Colonic Obstruction Secondary to Xylophagia and Literature Review.

Diego Prentice-Webb, Nikita Rao, Alejandro E Rodulfo

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Diego Prentice-WebbPsychiatry, Memorial Healthcare System, Hollywood, USA.
Nikita RaoPsychiatry, Schmidt College of Medicine, Florida Atlantic University, Boca Raton, USA.
Alejandro E RodulfoPsychiatry, Memorial Healthcare System, Hollywood, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pica is characterized by the persistent craving and consumption of non-food substances. In some cases, individuals ingest paper-based materials, a behavior known as xylophagia, which may lead to gastrointestinal complications if the behavior becomes severe. Social media has recently been recognized as a potential influence on emerging patterns of unusual behaviors in adolescents, including those related to health and eating. We report this case to highlight the influence of social media on pica-related behaviors and its potential for life-threatening complications. We describe the case of an 18-year-old female with a past medical history of iron deficiency anemia and no formal psychiatric diagnosis, who developed a pattern of consuming tissue paper beginning around age 12. This behavior reportedly followed exposure to related content on social media and progressed to a compulsive pattern that led to colonic obstruction. At age 18, the patient required a right hemicolectomy due to an accumulation of undigested paper (xylobezoar). To our knowledge, this is the first reported case in which such a severe clinical outcome related to paper ingestion in an adolescent was directly associated with social media exposure. This case highlights how behavioral patterns observed online may contribute to high-risk ingestion behaviors in vulnerable individuals. Clinicians may benefit from incorporating questions about social media use when evaluating patients with unexplained gastrointestinal symptoms or nutritional deficiencies. Increased awareness of these emerging behavioral triggers can inform early identification and intervention strategies.

Indexed as

adolescent mental healtheffects of social mediahemicolectomyintestinal obstructionpica disorderxylophagia

Identifiers

PMID41111780
PMCPMC12532425

What OpenQuestion holds

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Registered trials

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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.