Evidence map›Paper›PMID 30463232›Full record

ArticleSensors (Basel, Switzerland)2018

Detection of Alpha-Fetoprotein in Hepatocellular Carcinoma Patient Plasma with Graphene Field-Effect Transistor.

Dae Hoon Kim, Hong Gi Oh, Woo Hwan Park, Dong Cheol Jeon, Ki Moo Lim, Hyung Jin Kim, Byoung Kuk Jang, Kwang Soup Song

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 46 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 3 institutions in 1 country.

Dae Hoon KimDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Korea. dhoonkim@kumoh.ac.kr.
Hong Gi OhDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Korea. oh558@naver.com.
Woo Hwan ParkDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Korea. parkwh123@gmail.com.
Dong Cheol JeonDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Korea. Vcaptin@kumoh.ac.kr.
Ki Moo LimDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Korea. kmlim@kumoh.ac.kr.
Hyung Jin KimBiomedical IT Convergence Center, Gumi Electronics and Information Technology Research Institute, Gumi, Gyeongbuk 39171, Korea. hjkim745@geri.re.kr.
Byoung Kuk JangDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu 41931, Korea. jangha106@gmail.com.
Kwang Soup SongDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Korea. kssong10@kumoh.ac.kr.
Kumoh National Institute of Technology · KRGumi Electronics & Information Technology Research Institute (South Korea) · KRKeimyung University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of alpha-fetoprotein (AFP) in plasma is important in the diagnosis of hepatocellular carcinoma (HCC) in humans. We developed a biosensor to detect AFP in HCC patient plasma and in a phosphate buffer saline (PBS) solution using a graphene field-effect transistor (G-FET). The G-FET was functionalized with 1-pyrenebutyric acid

Indexed as

Transistors, Electronicalpha-FetoproteinsBiomarkers, TumorCarcinoma, HepatocellularElectrochemical TechniquesGraphiteHumansImmunoassayLiver Neoplasmsalpha-FetoproteinsBiomarkers, TumorGraphitealpha-fetoproteinbiosensorfield-effect transistorgraphenehepatocellular carcinoma

Identifiers

PMID30463232
PMCPMC6263997
OpenAlexW2901962722

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.