Evidence map›Paper›PMID 35570878›Full record

ArticleRadiology case reports2022

Retroperitoneal fetus in fetu presenting in a male infant: A case report and literature review.

Yixiao He, Yuzhu Ji, Gang Xie, Anqun Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Yixiao HeDepartment of Pathology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Changjia Alley, No.12, Fucheng District, Mianyang City, Sichuan Province, 621000, China.
Yuzhu JiDepartment of Pathology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Changjia Alley, No.12, Fucheng District, Mianyang City, Sichuan Province, 621000, China.
Gang XieDepartment of Pathology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Changjia Alley, No.12, Fucheng District, Mianyang City, Sichuan Province, 621000, China.
Anqun WangDepartment of Pathology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Changjia Alley, No.12, Fucheng District, Mianyang City, Sichuan Province, 621000, China.
Mianyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetus in fetu (FIF) is a rare congenital disease caused by the abnormal development of monochorionic diamniotic twins that appears as a cystic mass containing fetus-like structures mainly in the retroperitoneum of infants. The clinical manifestations of fetus in fetu vary, but they mostly present at infancy, hence, it should be differentiated from a teratoma. Here, we report a case of an infant with fetus in fetu in the retroperitoneum. Enhanced computed tomography scans and three-dimensional images showed a huge mixed-density mass on the left side of the abdominopelvic cavity with patchy distribution of fat, intact bones, and soft tissue. The child underwent fetus in fetu resection under general anaesthesia. Histopathology confirmed that the mass contained skin, muscle, intestinal mucosa, bones and cartilage, nerves, muscles, fat, and bone marrow tissue.

Indexed as

Fetus in fetuInfantsRare congenital diseaseRetroperitoneal

Identifiers

PMID35570878
PMCPMC9096470
OpenAlexW4229000924

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.