Evidence map›Paper›PMID 30068347›Full record

ArticleBMC surgery2018

A giant lipoma of the parietal peritoneum: Laparoscopic excision with the parietal peritoneum preserving procedure - a case report with literature review.

Hanlim Choi, DongHee Ryu, Jae-Woon Choi, Yanjie Xu, Yook Kim

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Hanlim ChoiDepartment of Surgery, Chungbuk National University Hospital, 776, 1sunhwan-ro Seowon-gu, Cheongju-si Chungcheongbuk-do, 28644, South Korea.
DongHee RyuDepartment of Surgery, Chungbuk National University Hospital, 776, 1sunhwan-ro Seowon-gu, Cheongju-si Chungcheongbuk-do, 28644, South Korea. dhryu@chungbuk.ac.kr.ORCID http://orcid.org/0000-0001-6088-298X
Jae-Woon ChoiDepartment of Surgery, Chungbuk National University Hospital, 776, 1sunhwan-ro Seowon-gu, Cheongju-si Chungcheongbuk-do, 28644, South Korea.
Yanjie XuDepartment of Surgery, Chungbuk National University College of Medicine, Cheongju, South Korea.
Yook KimDepartment of Radiology, Chungbuk National University Hospital, Cheongju, South Korea.
Chungbuk National University · KRChungbuk National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipomas are very common benign tumors of mature fatty tissue that can occur in any part of the body. However, lipomas of the parietal peritoneum are extremely rare. CASE PRESENTATION: A 36-year-old man presented with urinary frequency for 6 months. On computerized tomography of the abdomen and pelvis, a well-defined fatty mass measuring 20 × 11 × 6.5 cm in size, was found in the lower abdominal cavity. We performed a laparoscopic parietal-peritoneum-preserving excision of the mass. The patient was discharged without complications on post-operative day 6.

conclusionsTo our knowledge, a laparoscopic excision with preservation of the parietal peritoneum for a giant parietal peritoneal lipoma has never been reported. Herein, we report a case of a giant lipoma of the parietal peritoneum successfully managed by laparoscopy.

Indexed as

AdultHumansLaparoscopyLipomaMalePelvisPeritoneumTomography, X-Ray ComputedGiant lipomaLaparoscopyParietal peritoneumUrinary frequency

Identifiers

PMID30068347
PMCPMC6071372
OpenAlexW2887423954

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.