Evidence map›Paper›PMID 30588259›Full record

ArticleJournal of Cancer2018

Angiopoietin-like Protein 2 is a Useful Biomarker for Pancreatic Cancer that is Associated with Type 2 Diabetes Mellitus and Inflammation.

Takuma Yoshinaga, Tatsuyuki Niou, Toru Niihara, Yoriko Kajiya, Emiko Hori, Ayako Tomiyoshi, Erena Tokudome, Hiroto Nishimata, Takayuki Takei, Masahiro Yoshida

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 10 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

10 authors at 1 institution in 1 country.

Takuma YoshinagaDivision of Clinical Application, Nanpuh Hospital, Kagoshima, Japan.
Tatsuyuki NiouGastroenterology, Nanpuh Hospital, Kagoshima, Japan.
Toru NiiharaGastroenterology, Nanpuh Hospital, Kagoshima, Japan.
Yoriko KajiyaDepartment of Radiology, Nanpuh Hospital, Kagoshima, Japan.
Emiko HoriDivision of Clinical Application, Nanpuh Hospital, Kagoshima, Japan.
Ayako TomiyoshiDivision of Clinical Application, Nanpuh Hospital, Kagoshima, Japan.
Erena TokudomeDivision of Clinical Application, Nanpuh Hospital, Kagoshima, Japan.
Hiroto NishimataGastroenterology, Nanpuh Hospital, Kagoshima, Japan.
Takayuki TakeiDepartment of Chemical Engineering, Graduate School of Science and Engineering, Kagoshima, Japan.
Masahiro YoshidaDepartment of Chemical Engineering, Graduate School of Science and Engineering, Kagoshima, Japan.
Kagoshima University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is one of the tumors with the worst prognosis, with the 5-year survival rate reported to be 6%. The number of patients suffering from pancreatic cancer in recent years has continued to increase dramatically. Carbohydrate antigen 19-9 is an established biomarker of pancreatic cancer, but it does not have sufficient ability to detect pancreatic cancer at an early stage. We focused on angiopoietin-like protein 2 (ANGPTL2), which has been reported to be related to chronic inflammation and Type 2 diabetes mellitus. In this study, whether ANGPTL2 can detect early pancreatic cancer was evaluated. It was found that the concentration of serum ANGPTL2 was significantly higher in pancreatic cancer patients and tumor stage 0-I patients than in healthy individuals (5.84 ± 1.82 ng/mL vs 3.61 ± 0.64 ng/mL;

Indexed as

angiogenesisANGPTL2biomarkermellituspancreatic cancer

Identifiers

PMID30588259
PMCPMC6299393
OpenAlexW2902313213

What OpenQuestion holds

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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.