Evidence map›Paper›PMID 29082246›Full record

ArticleBioMed research international2017

CT Scanning in Identification of Sheep Cystic Echinococcosis.

Rui Mao, Hongzhi Qi, Lei Pei, Jie Hao, Jian Dong, Tao Jiang, Abudula Ainiwaer, Ge Shang, Lin Xu, Xi Shou and 5 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Imaging techniques in veterinary medicineEuropean journal of radiology open · 2023
    Review
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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

15 authors at 1 institution in 1 country.

Rui MaoDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Hongzhi QiDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Lei PeiDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Jie HaoDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Jian DongState Key Laboratory Incubation Base for Xinjiang Major Diseases Research and Xinjiang Key Laboratory of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China.
Tao JiangState Key Laboratory Incubation Base for Xinjiang Major Diseases Research and Xinjiang Key Laboratory of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China.
Abudula AiniwaerDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Ge ShangDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Lin XuDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Xi ShouState Key Laboratory Incubation Base for Xinjiang Major Diseases Research and Xinjiang Key Laboratory of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China.
Songan ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Ge WuDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Pengfei LuDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Yongxing BaoDepartment of Radiation Oncology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.ORCID 0000-0003-1416-0622
Haitao LiAbdominal Surgery & Oncology Department, Changji Branch of the First Affiliated Hospital of Xinjiang Medical University, Changji, Xinjiang 831100, China.ORCID 0000-0003-4680-4752
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aim to determine the efficiency of CT in identification of cystic echinococcosis in sheep.

methodsFifty-three sheep with liver cysts confirmed by ultrasonography were subject to CT scan to evaluate the number, size, and type of the cysts in liver and lung, confirmed using necropsy. The correlation of numbers between liver cysts and lung cysts was calculated using Pearson analysis.

resultsNecropsy indicated a 98% consensus on size, location, number, and activity compared with CT scan. The viable cysts were 53.1% and 50.6% in the liver and lung, respectively. Among the cysts in liver, 35.5%, 9.5%, 5.7%, 10.2%, and 39.1% were Types CE1, CE2, CE3, CE4, and CE5, respectively. The cysts in the lungs, 17.4%, 26.9%, 12.1%, 11.6%, and 32.1%, were Types CE1, CE2, CE3, CE4, and CE5, respectively. A significant correlation was noticed between the number of cysts in liver and those in lung (

conclusionsCT scan is a suitable tool in determining the size and type of cystic hydatid cysts in both liver and lung of sheep. A significant correlation was noticed between the numbers in liver and lung, indicating that lung infection was likely due to the expansion of liver cyst burden pressure.

Indexed as

AnimalsEchinococcosisEchinococcus granulosusHumansLiverLungSheepSheep DiseasesTomography, X-Ray ComputedUltrasonography

Identifiers

PMID29082246
PMCPMC5610823
OpenAlexW2752157147

What OpenQuestion holds

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LicenceCC BY
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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.