Evidence map›Paper›PMID 23494541›Full record

ArticleInternal and emergency medicine2014

Cherry-tree colon: colonoscopic appearance suggesting drug-induced mucosal injury.

Maria Pina Dore, Vincenzo Villanacci, Alessandra Manca, Sara Soro, Marco Schiavo-Lena, Giuseppe Sabatino, David Yates Graham, Gabrio Bassotti

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Article in Internal and emergency medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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

8 authors at 5 institutions in 2 countries.

Maria Pina DoreDepartment of Clinical and Experimental Medicine, University of Sassari, Sassari, Italy.
Vincenzo Villanacci
Alessandra Manca
Sara Soro
Marco Schiavo-Lena
Giuseppe Sabatino
David Yates Graham
Gabrio Bassotti
University of Sassari · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITBaylor College of Medicine · USOspedale Santa Maria · ITUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced damage to the gastrointestinal mucosa has been mainly focused on damage in the upper tract. However, increasing evidence suggests that commonly used drugs may also affect the mucosa of the lower gut, and particularly in the colon. The aim of this study was to report that fairly homogeneous colonoscopic findings, correlate with histological evidence of drug-induced mucosal injury. Charts of patients with the "cherry tree" colonoscopic aspect were reviewed to correlate the endoscopic and histological findings for a possible association with the use of drugs. Data from 29 patients (5 men, 24 women, age range 16-76 years) with the "cherry tree" colonoscopic findings were analyzed. Histology revealed an increase in eosinophils in the left colon in 23 patients, pseudomelanosis coli in 3, and microscopic colitis in 3. The findings were associated with proton pump inhibitors in 19 (65.5 %), non-steroidal anti-inflammatory drugs or statins (3 cases each), and other drugs [4 cases, including estroprogestinics (1), antidepressants (2), and thyroxin (1)]. The "cherry tree" colonoscopic appearance suggests drug-induced colonic damage. Awareness of this association may prevent unnecessary, expensive and time-consuming procedures.

Indexed as

ColonoscopyAdolescentAdultAgedColonColonic DiseasesFemaleHumansIntestinal MucosaMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID23494541
OpenAlexW2125795814

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.