Evidence map›Paper›PMID 29277184›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2017

[Study on Effects and Mechanisms of Phytochemicals in Vegetables and Fruits 
in Preventing and Treating Lung Cancer].

Tiantian Guo, Congmin Liu, Zhaoyu Gao, Yutong He

Open access · greenAbstract readReview
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 47% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

4 authors at 1 institution in 1 country.

Tiantian GuoCancer Institute, the Fourth Hospital of Hebei Medical University/The Tumor Hospital of Hebei Province, 
Shijiazhuang 050000, China.
Congmin LiuCancer Institute, the Fourth Hospital of Hebei Medical University/The Tumor Hospital of Hebei Province, 
Shijiazhuang 050000, China.
Zhaoyu GaoCancer Institute, the Fourth Hospital of Hebei Medical University/The Tumor Hospital of Hebei Province, 
Shijiazhuang 050000, China.
Yutong HeCancer Institute, the Fourth Hospital of Hebei Medical University/The Tumor Hospital of Hebei Province, 
Shijiazhuang 050000, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether in the world or China, lung cancer is a malignant tumor which is harmful to human health. There were studies showed that lung cancer is tightly related to the environment factors and life style. The epidemiology study found that eating more fruits and vegetables can prevent lung cancer. Vegetables and fruits are rich in phytochemicals such as isothiocyanates, indoles, flavonoids and so on. These phytochemicals reduce the risk of lung cancer by modulating antitumor-related pathways such as inhibition of cell proliferation, induction of apoptosis, and the like. The aim of this review is to summarize the mechanisms of phytochemicals in vegetables and fruits in the pathogenesis and progression of lung cancer, so as to provide theoretical basis and direction for the prevention and treatment of lung cancer.

Indexed as

Anticarcinogenic AgentsFruitHumansLung NeoplasmsPhytochemicalsVegetablesAnticarcinogenic AgentsPhytochemicalsAntineoplasticLung neoplasmsPhytochemicalsVegetables and fruits

Identifiers

PMID29277184
PMCPMC5973392
OpenAlexW2990615710

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.