Evidence map›Paper›PMID 25915759›Full record

ArticlePloS one2015

Passive Smoking and Breast Cancer Risk among Non-Smoking Women: A Case-Control Study in China.

Bin Li, Lian Wang, Min-Shan Lu, Xiong-Fei Mo, Fang-Yu Lin, Suzanne C Ho, Cai-Xia Zhang

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  11. Review
  12. GSTM1 and GSTT1 Genetic Polymorphisms and Breast Cancer Risk in Selected Filipino CasesAsian Pacific journal of cancer prevention : APJCP · 2019
    Article
  13. Review
  14. The Role of Nitrosamine (NNK) in Breast Cancer Carcinogenesis.Journal of mammary gland biology and neoplasia · 2017
    Review
  15. Article
  16. Cadmium exposure and the risk of breast cancer in Chaoshan population of southeast China.Environmental science and pollution research international · 2015
    Article
  17. 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

7 authors.

Bin LiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Epidemiology Research Unit, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Lian WangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Min-Shan LuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiong-Fei MoDepartment of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Fang-Yu LinNursing Department, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Suzanne C HoDivision of Epidemiology, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Cai-Xia ZhangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of passive smoking on breast cancer risk was unclear. This study aimed to evaluate the association between passive smoking and breast cancer risk among Chinese women. METHODS/PRINCIPAL

findingsA hospital-based case-control study, including 877 breast cancer cases and 890 controls, frequency-matched by age and residence, was conducted. A structured questionnaire was used to collect information on passive smoking history through face-to-face interview by trained interviewers. Unconditional logistic regression models were used to estimate the association between passive smoking and breast cancer risk. A positive association between any passive smoking exposure and breast cancer risk was observed. Compared with women who were never exposed to passive smoking, women who were ever exposed had a higher breast cancer risk, with the adjusted odds ratio (OR) and 95% confidence interval (CI) of 1.35 (1.11-1.65). Similar result was found on home passive smoking exposure and breast cancer risk, but not on workplace passive smoking exposure. Women who were ever exposed to tobacco smoke at home had a higher risk of breast cancer compared with never exposed women, with the adjusted OR (95% CI) of 1.30 (1.05-1.61). Home passive smoking exposure showed significant dose-response relationships with breast cancer risk in smoker-years, cigarettes/day and total pack-years (Ptrend=0.003, 0.006 and 0.009, respectively). An increased total smoker-years of any passive exposure significantly elevated the risk of breast cancer (Ptrend<0.001). Positive associations and dose-response relationships were found among postmenopausal women and all subtypes of estrogen receptor (ER) and progesterone receptor (PR) status of breast cancer.

conclusionsPassive smoking was associated with an increased risk of breast cancer among non-smoking Chinese women. A stronger positive association with breast cancer risk was seen mainly among postmenopausal women.

Indexed as

AdultAgedBreast NeoplasmsCase-Control StudiesChinaFamily CharacteristicsFemaleHumansMiddle AgedRisk FactorsSurveys and QuestionnairesTobacco Smoke PollutionWorkplaceTobacco Smoke Pollution

Identifiers

PMID25915759
PMCPMC4411087

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.