Evidence map›Paper›PMID 32977148›Full record

ArticleInternational journal of surgery case reports2020

Difficulties in diagnosing the alveolar echinococcosis (case report).

Dinar Kaliyeva, Yekaterina Yukhnevich, Nurkassi Abatov, Aydin Nurbekov

Open access · goldAbstract readCase Reports
In one paragraph

Article in International journal of surgery case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 51% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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.

Dinar KaliyevaDepartment of Surgical Diseases, Karaganda Medical University, 40, Gogolia str, Karaganda 10017, Kazakhstan.
Yekaterina YukhnevichDepartment of Clinical Pharmacology and Evidence-Based Medicine, Karaganda Medical University, 40, Gogolia str, Karaganda 10017, Kazakhstan. Electronic address: 3204229@gmail.com.
Nurkassi AbatovDepartment of Surgical Diseases, Karaganda Medical University, 40, Gogolia str, Karaganda 10017, Kazakhstan.
Aydin NurbekovDepartment of Surgical Diseases, Karaganda Medical University, 40, Gogolia str, Karaganda 10017, Kazakhstan.
Karaganda Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlveolar echinococcosis is dangerous parasitic zoonose with the large endemic area. This disease has a high prevalence in Kazakhstan. PRESENTATION OF CASE: We report on a 45-year woman suffering from alveolar echinococcosis with a huge cystic mass and difficulty of differential diagnosis. She was hospitalized for surgery with primary diagnosis of hydatid disease. The liver carcinoma was suspected during surgery due to the huge size and structure of the mass. This mass was totally removed. The alveolar echinococcosis was confirmed by histopathological examination. DISCUSSION: Essential features of this case are the large size of the lesion with a dense consistency and the germination of blood vessels, which unusual for alveolar echinococcosis. Total resection and Albendazole therapy was successful for patient, she didn't have a relapse during the follow-up examination.

conclusionThis report may provide new aspects of visualization of alveolar echinococcosis and highlight the necessity for the upgrade of the diagnosis tactic.

Indexed as

Alveolar echinococcosisDifferential diagnosisLarge size

Identifiers

PMID32977148
PMCPMC7516185
OpenAlexW3082783779

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.