Evidence map›Paper›PMID 35401747›Full record

ArticleJournal of oncology2022

Magnetic Resonance Imaging and Serum AFP-L3 and GP-73 in the Diagnosis of Primary Liver Cancer.

Jun-Jian Yuan, Yan-Dong Xu, Heng Li, Qing-Jin Guo, Guo-Ce Li, Wei Chai, Zhi-Quan Zhang, Ru-Hai Liu

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Jun-Jian YuanDepartment of Hepatobiliary Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, China.ORCID https://orcid.org/0000-0003-3068-2826
Yan-Dong XuDepartment of General Surgery, Renqiu Second People's Hospital, Renqiu, China.
Heng LiDepartment of Surgery, Cangzhou Heping Hospital, Cangzhou, China.
Qing-Jin GuoDepartment of Colorectal Surgery, Cangzhou Central Hospital, Cangzhou, China.
Guo-Ce LiNuclear Magnetic Imaging Department, Cangzhou Central Hospital, Cangzhou, China.
Wei ChaiDepartment of Hepatobiliary Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, China.
Zhi-Quan ZhangDepartment of Hepatobiliary Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, China.
Ru-Hai LiuDepartment of Hepatobiliary Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, China.
Cangzhou Central Hospital · CNPeople's Hospital of Cangzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the combined application value of magnetic resonance imaging (MRI) combined with serum alpha-fetoprotein (AFP)-L3 and Golgi protein (GP)-73 in the diagnosis of primary liver cancer. Methods: The data of 200 patients with suspected liver cancer admitted to our hospital from February 2020 to February 2021 were retrospectively analyzed, and they were randomly divided into an experimental group and a control group, with 100 cases in each group. The experimental group received a combined detection of MRI with serum AFP-L3 and GP-73, and the control group adopted traditional diagnostic methods (spiral computed tomography and serum AFP). The diagnostic yields of the two groups were compared. Surgical resection was performed after the diagnosis of primary liver cancer, and the correlation between the efficacy and combined detection of MRI with serum AFP-L3 and GP-73 levels was analyzed. Results: The two groups presented comparable general information ( Conclusion: MRI combined with serum AFP-L3 and GP-73 presents favorable diagnostic efficiency in the diagnosis of primary liver cancer, which is worthy of clinical application.

Identifiers

PMID35401747
PMCPMC8986367
OpenAlexW4220972144

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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.