Evidence map›Paper›PMID 26622168›Full record

ReviewDrug design, development and therapy2015

Apatinib for molecular targeted therapy in tumor.

Haijun Zhang

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Drug design, development and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03376191 (Prospective, Multicenter, Non-intervention Clinical Trial of Apatinib in the Treatment of Advanced Non-squamous,Non-small Cell Lung Cancer), which is not on this map. Cited by 130 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 6 pooled it
9.8field-weighted citation impact, top 1% 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.

NCT03376191 unknown statusnot on this mapstarted 2017, after this paper: background citation

Prospective, Multicenter, Non-intervention Clinical Trial of Apatinib in the Treatment of Advanced Non-squamous,Non-small Cell Lung Cancer

TypeobservationalSponsorJian FangRan2017 to 2019Enrolled100ConditionsNon-squamous Non-Small Cell Lung CancerArmsapatinib
3 · Its place in the literature

Who cites it

130 citing papers in PubMed, 6 syntheses or guidelines pooled it, 207 citations in OpenAlex.

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  20. Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024
    Review

70 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Haijun ZhangDepartment of Oncology, Zhongda Hospital, Medical School, Southeast University, Nanjing, People's Republic of China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As tumor angiogenesis is one of the hallmarks of cancer, the inhibition of vascular endothelial growth factor signaling has become an attractive anticancer approach. Apatinib, a small-molecule inhibitor of vascular endothelial growth factor receptor-2, has demonstrated encouraging anticancer activity across a broad range of malignancies, including gastric cancer, non-small-cell lung cancer, breast cancer, and hepatocellular carcinoma. In this up-to-date review, focus is not only on the structure, mechanisms, and pharmacokinetics of apatinib, but also on summarizing clinical trials and making recommendations of apatinib for patients with advanced solid tumors.

Indexed as

Molecular Targeted TherapyNeovascularization, PathologicAngiogenesis InhibitorsAnimalsHumansMolecular StructureNeoplasmsPyridinesSignal TransductionTreatment OutcomeVascular Endothelial Growth Factor Receptor-2Angiogenesis InhibitorsapatinibKDR protein, humanPyridinesVascular Endothelial Growth Factor Receptor-2angiogenesisapatinibmolecular targeted therapytumorvascular endothelial growth factor receptor-2

Identifiers

PMID26622168
PMCPMC4654530
OpenAlexW2180834360

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.