Evidence map›Paper›PMID 30249219›Full record

ArticleBMC public health2018

Risk patterns of lung cancer mortality in northern Thailand.

Apinut Rankantha, Imjai Chitapanarux, Donsuk Pongnikorn, Sukon Prasitwattanaseree, Walaithip Bunyatisai, Patumrat Sripan, Patrinee Traisathit

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Spatial Distribution of Head and Neck Cancer in Chiang Mai, Thailand.Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
  7. Article
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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.

Apinut RankanthaGraduate School, Chiang Mai University, Chiang Mai, Thailand.
Imjai ChitapanaruxDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Donsuk PongnikornCancer Registry Unit, Lampang Cancer Hospital, Lampang, Thailand.
Sukon PrasitwattanasereeDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Walaithip BunyatisaiDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Patumrat SripanDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Patrinee TraisathitDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand. patrinee@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decade, lung cancers have exhibited a disproportionately high mortality and increasing mortality trend in Thailand, especially in the northern region, and prevention strategies have consequently become more important in this region. Spatial analysis studies may be helpful in guiding any strategy put in place to respond to the risk of lung cancer mortality in specific areas. The aim of our study was to identify risk patterns for lung cancer mortality within the northern region of Thailand.

methodsIn the spatial analysis, the relative risk (RR) was used as a measure of the risk of lung cancer mortality in 81 districts of northern Thailand between 2008 and 2017. The RR was estimated according to the Besag-York-Mollié autoregressive spatial model performed using the OpenBUGS routine in the R statistical software package. We presented the overall and gender specific lung cancer mortality risk patterns of the region using the Quantum Geographic Information System.

resultsThe overall risk of lung cancer mortality was the highest in the west of northern Thailand, especially in the Hang Dong, Doi Lo, and San Pa Tong districts. For both genders, the risk patterns of lung cancer mortality indicated a high risk in the west of northern Thailand, with females being at a higher risk than males.

conclusionsThere was distinct geographical variation in risk patterns of lung cancer mortality in Thailand. Differences could be related to differences in risk factors such as ground-based radon and air pollution. This study provides a starting point for estimating the spatial pattern of the risk of lung cancer mortality and for examining associations between geographic risk factors and lung mortality for further studies.

Indexed as

AdultFemaleGeographic Information SystemsGeographyHumansLung NeoplasmsMaleRisk FactorsSex DistributionSpatial AnalysisThailandBesag-York-MolliéLung cancerMortalityRelative risk

Identifiers

PMID30249219
PMCPMC6154807

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.