Evidence map›Paper›PMID 34589611›Full record

ArticleOpen medicine (Warsaw, Poland)2021

Peritoneal loose body presenting as a hepatic mass: A case report and review of the literature.

Yang Wen, Min-Jie Shang, Yan-Qing Ma, Song-Hua Fang, Yuan Chen

Open access · goldAbstract readCase Reports
In one paragraph

Article in Open medicine (Warsaw, Poland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. A nearly-missed peritoneal loose body.Frontiers in oncology · 2026
    Article
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Yang WenDepartment of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Min-Jie ShangDepartment of Hepatobiliary Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Yan-Qing MaDepartment of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Song-Hua FangDepartment of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Yuan ChenDepartment of Pathology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158, Shangtang Road, Hangzhou, 310014, Zhejiang, People's Republic of China.
Hangzhou Medical College · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peritoneal loose body (PLB) is a rare clinical entity. It is generally agreed that the most common origin of the loose bodies is appendix epiploica. We here report a case of PLB that looks like a "boiled egg," which was misdiagnosed preoperatively as a lesion of hepatic origin and was confirmed by operation and postoperative pathology. PLBs are rare entities, a good understanding of their specific imaging features can help prevent misdiagnosis, but sometimes an accurate preoperative diagnosis is still difficult to achieve. Exploratory laparoscopy is a recommended method for management of PLBs.

Indexed as

computed tomographylaparoscopicmagnetic resonance imagingperitoneal cavityperitoneal loose bodyultrasound

Identifiers

PMID34589611
PMCPMC8435557
OpenAlexW3199968304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.