Evidence map›Paper›PMID 30756355›Full record

ArticleEnvironmental science and pollution research international2019

Estimating the spatial distribution of environmental suitability for female lung cancer mortality in China based on a novel statistical method.

Xiao Han, Yanlong Guo, Hong Gao, Jianmin Ma, Manjie Sang, Sheng Zhou, Tao Huang, Xiaoxuan Mao

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 31% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Using Multisource Data to Assess PMInternational journal of environmental research and public health · 2022
    Article
  6. Article
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.

Xiao HanKey Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China.
Yanlong GuoKey Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, Gansu, China.
Hong GaoKey Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China. honggao@lzu.edu.cn.
Jianmin MaKey Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China.
Manjie SangResearch Center for Eco-Environment Sciences in Shanxi, Taiyuan, 030000, Shanxi, China.
Sheng ZhouKey Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China.
Tao HuangKey Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China.
Xiaoxuan MaoKey Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China.
Lanzhou University · CNNorthwest Institute of Eco-Environment and Resources · CNPeking University · CN

Funding

National Key Technology Research and Development Program of the Ministry of Science and Technology of China 2017YFC0212002National Natural Science Foundation of China 41671460
6 · The paper itself

Abstract

Lung cancer as one of the major causes of cancer mortality has been demonstrated to be closely related to the ambient atmospheric environment, but little has been done in the synthetic evaluation of the linkage between cancer mortality and combined impact of ambient air pollution and meteorological conditions. The present study determined the environmental suitability for female lung cancer mortality associated with air contaminants and meteorological variables. A novel fuzzy matter-element method was applied to identify the spatial distribution and regions for the environmental suitability for the female lung cancer mortality across China in 2013. The membership functions between the cancer mortality and 6 environmental factors, including PM

Indexed as

Models, StatisticalAir PollutantsAir PollutionChinaEnvironmental MonitoringFemaleHumansLung NeoplasmsParticulate MatterRisk AssessmentTemperatureAir PollutantsParticulate MatterChinaFemaleFuzzy mathematicsLung cancer mortalitySpatial distribution

Identifiers

PMID30756355
OpenAlexW2912555445

What OpenQuestion holds

Textmetadata
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.