Evidence map›Paper›PMID 34307567›Full record

ArticleWorld journal of clinical cases2021

Imaging presentation and postoperative recurrence of peliosis hepatis: A case report.

Si-Xie Ren, Pan-Pan Li, Hai-Peng Shi, Jun-Hui Chen, Zhen-Ping Deng, Xi-E Zhang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Si-Xie RenDepartment of Radiology, Chengdu Second People's Hospital, Chengdu 610000, Sichuan Province, China.
Pan-Pan LiDepartment of Radiology, Chengdu Second People's Hospital, Chengdu 610000, Sichuan Province, China.
Hai-Peng ShiPathology Center, Chengdu Second People's Hospital, Chengdu 610000, Sichuan Province, China.
Jun-Hui ChenDepartment of Radiology, Chengdu Second People's Hospital, Chengdu 610000, Sichuan Province, China. junhuichenjhc@126.com.
Zhen-Ping DengDepartment of Radiology, Chengdu Second People's Hospital, Chengdu 610000, Sichuan Province, China.
Xi-E ZhangDepartment of Radiology, Chengdu Second People's Hospital, Chengdu 610000, Sichuan Province, China.
Chengdu Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeliosis hepatis (PH) is a rare benign lesion of vascular origin with a pathological characteristic of multiple blood-filled cavities in the liver parenchyma. It is commonly misdiagnosed due to its lack of specificity in clinical presentation and laboratory test results. Herein, a case of a patient with PH who was misdiagnosed with hepatic echinococcosis before operation to remove the lesions was analyzed, with an emphasis on the computed tomography and magnetic resonance imaging characteristics of PH. CASE SUMMARY: We outline the case of a 40-year-old Chinese female who was admitted with aggravated abdominal pain with fever for 1 wk. Ultrasound examination at the local hospital indicated hepatic echinococcosis. However, discordance between imaging diagnosis, clinical history and laboratory examinations in our hospital. Subsequently, the patient was pathologically confirmed as having PH-like changes, which recurred 1 year after operation removal of the lesion.

conclusionOur objective is to highlight the imaging diagnostic value of PH.

Indexed as

Case reportComputer tomographyMagnetic resonance imagingMisdiagnosisPeliosis hepatisRecurrence

Identifiers

PMID34307567
PMCPMC8283614
OpenAlexW3175259170

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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.