Evidence map›Paper›PMID 38333290›Full record

ArticleAnnals of medicine and surgery (2012)2024

Abdominal cocoon syndrome (ACS): a case report of a Chinese male diagnosed idiopathic ACS with inborn short intestine.

Fei Li, Miao Xie

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Annals of medicine and surgery (2012), 2024. 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 35% 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. Review
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

2 authors at 1 institution in 1 country.

Fei LiDepartments of Gastrointestinal Surgery.
Miao XieDepartments of Gastrointestinal Surgery.
Wuhan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and importance: Abdominal cocoon syndrome (ACS), as a rare cause of mechanical intestinal obstruction, can be divided into primary/idiopathic vs. secondary type. The primary ACS is often asymptomatic and only diagnosed in exploratory laparotomy. The major treatment of surgery can be challenging. Since the gut wall and peritoneum are densely adhered, gut perforation might occur during adhesiolysis. Thus, it is important to have an experienced surgeon to perform the surgery. Case presentation: The authors present a primary ACS case of a 50-year-old man. The patient demonstrated an unbearable upper abdominal pain upon admission. A computed tomography (CT) scan showed a severe bowel obstruction. An exploratory laparotomy was indicated, leading to the diagnosis of ACS, which was considered idiopathic after ruling out secondary factors. An adhesiolysis was performed successfully. Note that the entire intestine measured was only 2.1 m during the surgery. There was no post-surgical complication. The patient was recovered uneventfully. Clinical discussion: The aetiology of primary ACS is unknown. The incidence is comparatively low and considered equal between men and women. As a rare cause of gut obstruction, the suspicion of the diagnosis should be strengthened. Surgery including adhesiolysis and bowel resection remains the major treatment. If adhesiolysis fails, bowel resection will be inevitable. The knowledge and experience of surgeon will be tested. Conclusion: The aetiology of primary ACS should be further explored. And the differential diagnosis of bowel obstruction should cover ACS in order for the surgeon to be prepared before surgery.

Indexed as

abdominal cocoon syndromeACS diagnosisACS treatmentidiopathicintestinal obstruction

Identifiers

PMID38333290
PMCPMC10849369
OpenAlexW4389892638

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.