Evidence map›Paper›PMID 29675110›Full record

ReviewJournal of Cancer2018

Evaluation of Detection Methods and Values of Circulating Vascular Endothelial Growth Factor in Lung Cancer.

Sumin Guo, Michael G Martin, Cheng Tian, Jinglin Cui, Lishi Wang, Shucai Wu, Weikuan Gu

Open access · goldAbstract readReview
In one paragraph

Review 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
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  7. 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

7 authors at 5 institutions in 2 countries.

Sumin GuoDepartment of Oncology, Hebei Chest Hospital, Lung Cancer Control and Prevention Center of Hebei Province, Shijiazhuang, Hebei, 050041, China.
Michael G MartinWest Cancer Center, University of Tennessee Health Science Center, Memphis, Tennessee, 38163, USA.
Cheng TianDepartment of Orthopaedic Surgery- Campbell Clinic and Pathology, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.
Jinglin CuiDepartment of Orthopaedic Surgery- Campbell Clinic and Pathology, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.
Lishi WangDepartment of Basic Medicine (Basic Medical Research), Inner Mongolia Medical University, Inner Mongolia, 010110, PR China.
Shucai WuDepartment of Oncology, Hebei Chest Hospital, Lung Cancer Control and Prevention Center of Hebei Province, Shijiazhuang, Hebei, 050041, China.
Weikuan GuDepartment of Orthopaedic Surgery- Campbell Clinic and Pathology, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.
Campbell Clinic · USHospital of Hebei Province · CNInner Mongolia Medical University · CNQiqihar Medical University · CNUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the deadliest cancer in the world. Angiogenesis plays a crucial role of the incidence, progression, and metastasis in lung cancer. Angiogenesis inhibitors are used to treat non-small cell lung cancer (NSCLC) patients, and the molecular biomarkers are also being assessed to predict treatment response/therapeutic response and patients' prognosis. Vascular endothelial growth factor (VEGF) is a signal protein produced by cells that stimulates angiogenesis. Due to its predictive values of prognosis on NSCLC, a large number of methods have been developed and evaluated to detect VEGF levels in a variety of studies. In this article, we review the detection methods designed to measure the VEGF levels in different body fluids and prognosticate the value of VEGF in treatment, diagnosis and survival in lung cancer.

Indexed as

angiogenesisbiomarkerevaluationNSCLCsmall cell lung cancer (SCLC)VEGF

Identifiers

PMID29675110
PMCPMC5907677
OpenAlexW2792615657

What OpenQuestion holds

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LicenceCC BY-NC
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.