Evidence map›Paper›PMID 31192920›Full record

ArticleMedicine2019

Hepatosplenic brucella abscesses on computed tomography and magnetic resonance imaging: Case series.

Hui Guo, Yan Wang, Yuxin Yang, Wenya Liu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. 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
1.0field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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 2 countries.

Hui GuoXinjiang Medical University, Affiliated Hospital 1, Medical Imaging Center.
Yan WangThe Sixth People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, China.
Yuxin YangThe Sixth People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, China.
Wenya LiuXinjiang Medical University, Affiliated Hospital 1, Medical Imaging Center.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBecause of its infrequent and the lack of clinical data and image finding, the management of acute infections with the hepatosplenic brucella abscesses is challenging.

methodsThere were 10 serologically diagnosed cases with this brucella infection. All patients had fever, 50% patients had upper abdominal pain. Ninety percent patients lived in an urban environment. The localization of lesions included: 30% hepatosplenic, 30% liver, and 40% spleen.

resultsAbdominal computed tomography (CT) scans and magnetic resonance imaging (MRI) demonstrated hepatosplenomegaly, with multiple small abscess lesions of various sizes in the acute stage of brucellosis, with the largest diameter of 1.5 cm in the liver. After contrast-enhanced CT and MRI findings, the arterial phase in which the enhancing area of lesions was thick, revealed multifocal hypodense or hypointense lesions of various sizes. These lesions manifested distinct boundary, which was intensified obviously in portal venous phase.

conclusionOur results indicate that early CT or MRI dynamic contrast enhancement of suspected cases could improve rapid diagnosis. However, diagnostic criteria remain problematic and diagnosis is mostly based on a combination of clinical suspicion, serologic markers, and radiologic findings.

Indexed as

AdolescentAgedBrucellosisChinaDoxycyclineFemaleHumansLiver AbscessMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingRetrospective StudiesRifampinSplenomegalyTomography, X-Ray ComputedDoxycyclineRifampin

Identifiers

PMID31192920
PMCPMC6587596
OpenAlexW2950961064

What OpenQuestion holds

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LicenceCC BY-NC
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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.