Evidence map›Paper›PMID 36379646›Full record

ArticleBMJ open2022

Overall and cause-specific mortality rates among men and women with high exposure to indoor air pollution from the use of smoky and smokeless coal: a cohort study in Xuanwei, China.

Teja Nagaradona, Bryan A Bassig, Dean Hosgood, Roel C H Vermeulen, Bofu Ning, Wei Jie Seow, Wei Hu, Lützen Portengen, Jason Wong, Xiao-Ou Shu and 13 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 58% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

23 authors at 11 institutions in 4 countries.

Teja NagaradonaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Bryan A BassigDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Dean HosgoodDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
Roel C H VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Bofu NingXuanwei Center for Disease Control and Prevention, Xuanwei, Yunnan, China.
Wei Jie SeowSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Wei HuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-4138-7905
Lützen PortengenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Jason WongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Xiao-Ou ShuDepartment of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Wei ZhengDepartment of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Nathan AppelInformation Management Services Inc, Rockville, Maryland, USA.
Yu-Tang GaoDepartment of Epidemiology, Shanghai Cancer Institute, Shanghai, China.
Qiu-Yin CaiDepartment of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Gong YangDepartment of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Ying ChenThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
George DownwardInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Jihua LiQujing Center for Diseases Control and Prevention, Qujing, Yunnan, China.
Kaiyun YangThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Lauren McCulloughDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.
Debra SilvermanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Yunchao HuangThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA qingl@mail.nih.gov.
National Cancer Institute · USVanderbilt University · USKunming Medical University · CNUtrecht University · NLAlbert Einstein College of Medicine · USEmory University · USInformation Management Services · USNational University of Singapore · SGQujing Normal University · CNShanghai Cancer Institute · CNYunnan Center for Disease Control And Prevention · CN

Funding

Assessing the Relative and Absolute Risk for site-Specific Cancer Mortality attributed to Household Air PollutionU01CA242740 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI HOSGOOD, H DEAN · 2020 to 2022
$1.2M
NCI NIH HHS U01 CA242740
6 · The paper itself

Abstract

objectivesNever-smoking women in Xuanwei (XW), China, have some of the highest lung cancer rates in the country. This has been attributed to the combustion of smoky coal used for indoor cooking and heating. The aim of this study was to evaluate the spectrum of cause-specific mortality in this unique population, including among those who use smokeless coal, considered 'cleaner' coal in XW, as this has not been well-characterised.

designCohort study.

settingXW, a rural region of China where residents routinely burn coal for indoor cooking and heating.

participantsAge-adjusted, cause-specific mortality rates between 1976 and 2011 were calculated and compared among lifetime smoky and smokeless coal users in a cohort of 42 420 men and women from XW. Mortality rates for XW women were compared with those for a cohort of predominately never-smoking women in Shanghai.

resultsMortality in smoky coal users was driven by cancer (41%), with lung cancer accounting for 88% of cancer deaths. In contrast, cardiovascular disease (CVD) accounted for 32% of deaths among smokeless coal users, with 7% of deaths from cancer. Total cancer mortality was four times higher among smoky coal users relative to smokeless coal users, particularly for lung cancer (standardised rate ratio (SRR)=17.6). Smokeless coal users had higher mortality rates of CVD (SRR=2.9) and pneumonia (SRR=2.5) compared with smoky coal users. These patterns were similar in men and women, even though XW women rarely smoked cigarettes. Women in XW, regardless of coal type used, had over a threefold higher rate of overall mortality, and most cause-specific outcomes were elevated compared with women in Shanghai.

conclusionsCause-specific mortality burden differs in XW based on the lifetime use of different coal types. These observations provide evidence that eliminating all coal use for indoor cooking and heating is an important next step in improving public health particularly in developing countries.

Indexed as

Air Pollution, IndoorCardiovascular DiseasesLung NeoplasmsCause of DeathChinaCoalCohort StudiesFemaleHumansLobelineMaleSmokeSmokingCoalLobelineSmokeEpidemiologyHealth & safetyPublic health

Identifiers

PMID36379646
PMCPMC9667990
OpenAlexW4309066579

What OpenQuestion holds

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LicenceCC BY-NC
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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.