Evidence map›Paper›PMID 37733131›Full record

ArticleDigestive diseases and sciences2023

Sizzling Fat-Curative Endoscopic Resection of a Giant Lipoma Causing Colo-Colic Intussusception.

Chiara Eberspacher, Stefano Arcieri, Augusto Lauro, Rossella Palma, Enrico Coletta, Francesco Leone Arcieri, Domenico Mascagni, Stefano Pontone

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Digestive diseases and sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Chiara EberspacherDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy.
Stefano ArcieriDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy.
Augusto LauroDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy. augusto.lauro@uniroma1.it.
Rossella PalmaDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy.
Enrico ColettaDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy.
Francesco Leone ArcieriDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy.
Domenico MascagniDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy.
Stefano PontoneDepartment of Surgery, "Sapienza" University of Rome, V.Le Regina Elena 324, 00161, Rome, Italy.
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant colonic lipomas, tumors that infrequently occur in the gastrointestinal tract, can manifest as bleeding, abdominal pain and, in few cases, obstruction with intussusception. Surgery is usually the treatment of choice. We report the case of a 78 years-old woman with abdominal pain, constipation, and bleeding due to a giant lipoma of the sigmoid colon causing intussusception. After an initial diagnostic colonoscopy, the patient underwent an endoscopic mucosal resection (EMR) without complications. Even if surgery is traditionally the primary therapeutic approach for giant colonic lipomas, selected cases can be successfully treated with EMR.

Indexed as

ColonoscopyEndoscopic Mucosal ResectionIntussusceptionLipomaSigmoid NeoplasmsAgedFemaleHumansColonoscopyColorectal lipomaIntussusceptionOcclusionPolypectomy

Identifiers

PMID37733131
OpenAlexW4386909867

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.