Evidence map›Paper›PMID 28353584›Full record

ArticleMedicine2017

Peliosis hepatis: 2 case reports of a rare liver disorder and its differential diagnosis.

Yi-Ning Dai, Ze-Ze Ren, Wen-Yuan Song, Hai-Jun Huang, Dan-Hong Yang, Ming-Shan Wang, Yi-Cheng Huang, Mei-Juan Chen, Jia-Jie Zhang, Yong-Xi Tong and 1 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Viability and Desiccation Resistance ofPathogens (Basel, Switzerland) · 2023
    Article
  4. Hepatic Angiosarcoma with Peliosis Hepatis.Internal medicine (Tokyo, Japan) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. 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

11 authors at 2 institutions in 1 country.

Yi-Ning DaiDepartment of Infectious Diseases, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College Department of Infectious Diseases, the Second Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Ze-Ze Ren
Wen-Yuan Song
Hai-Jun Huang
Dan-Hong Yang
Ming-Shan Wang
Yi-Cheng Huang
Mei-Juan Chen
Jia-Jie Zhang
Yong-Xi Tong
Hong-Ying Pan
Hangzhou Medical College · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationalePeliosis hepatis (PH) is a rare tumor-like liver lesion composed of multiple blood-filled cavities within the liver parenchyma. It is hard to differentiate PH from other liver lesions by imaging, such as carcinoma, metastases, or abscess. PATIENT CONCERNS: Here, we reported 2 cases that presented with liver lesions under ultrasound and computed tomography (CT) scanning, without any history of liver diseases or drug usage traced back. DIAGNOSES: Liver biopsy and laparoscopy were processed, and the lesions were eventually diagnosed as PH by histopathology, which microscopically presented with multiple sinusoidal dilatations with blood-filled cystic spaces.

interventionsAfter the liver biopsy or laparoscopy, the patients were discharged and followed up in the clinic. OUTCOMES: Both patients were followed up for at least 1 year with good recovery. LESSONS: PH should always be recognized in the differentiation of liver lesions, particularly indistinctive lesion(s) without any history of liver-related diseases.

Indexed as

Diagnosis, DifferentialFemaleHumansLiverMaleMiddle AgedPeliosis Hepatis

Identifiers

PMID28353584
PMCPMC5380268
OpenAlexW2598906790

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.