Evidence map›Paper›PMID 34917531›Full record

ArticleIranian journal of public health2021

Efficacy Evaluation on the Color Doppler Ultrasound, Multislice Spiral CT Combined with Serum Markers in Diagnosis of Primary Hepatic Carcinoma.

Xiaolan Zhao, Yifang Xia, Chunjing Li, Dapeng Wang

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 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 87% 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, 1 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

4 authors at 2 institutions in 1 country.

Xiaolan ZhaoDepartment of Ultrasound, Yantaishan Hospital, Yantai 264000, China.
Yifang XiaDepartment of Imaging, Zhangqiu District People's Hospital, Jinan 250200, China.
Chunjing LiDepartment of Imaging, Zhangqiu District People's Hospital, Jinan 250200, China.
Dapeng WangDepartment of Imaging, the Affiliated Hospital of China University of Petroleum (East China), Qingdao 266580, China.
Zhangqiu City People's Hospital · CNYantaishan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe efficacy of color Doppler ultrasound, multislice spiral CT combined with serum alpha-fetoprotein (AFP) and alpha-fetoprotein heterogeneity (AFP-L3) in the diagnosis of primary hepatic carcinoma was evaluated.

methodsSeventy-nine patients with primary hepatic carcinoma (PHC group) and 50 patients with benign liver lesions (benign control group) admitted in Yantaishan Hospital (Yantai, China) from January 2016 to December 2018 were selected. The liver was scanned by color Doppler ultrasound and multiple multislice spiral CT. The serum AFP and AFP-L3 levels were detected by electrochemiluminescence. The value of color Doppler ultrasound, multislice spiral CT combined with serum AFP and AFP-L3 in diagnosis of primary liver cancer was retrospectively analyzed.

resultsThe color Doppler flow imaging (CDFI) showed a high-speed and high-resistance spectrum. The serum AFP and AFP-L3 levels of patients with primary hepatic carcinoma were significantly higher than those of the benign control group were (U=138.000 and 155.500,

conclusionColor Doppler ultrasound, multislice spiral CT combined with AFP and AFP-L3 examination could significantly improve the diagnosis efficiency of primary hepatic carcinoma, which was beneficial to early clinical diagnosis and early treatment.

Indexed as

Alpha-fetoprotein receptorCombination examinationPrimary hepatic carcinomaUltrasound

Identifiers

PMID34917531
PMCPMC8643511
OpenAlexW3191012788

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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.