Evidence map›Paper›PMID 25670808›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

Nonsteroidal Anti-Inflammatory Drug and Aspirin Use in Relation to Lung Cancer Risk among Postmenopausal Women.

Christina S Baik, Theodore M Brasky, Mary Pettinger, Juhua Luo, Zhihong Gong, Jean Wactawski-Wende, Ross L Prentice

Open access · bronzeAbstract readClinical TrialObservational Study
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2015. 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
1.1field-weighted citation impact, top 20% 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, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    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

7 authors at 5 institutions in 1 country.

Christina S BaikDepartment of Medicine, University of Washington, Seattle, Washington. cbaik2@uw.edu.
Theodore M BraskyThe Ohio State University College of Medicine, Columbus, Ohio.
Mary PettingerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Juhua LuoDepartment of Epidemiology and Biostatictics, Indiana University, Bloomington, Indiana.
Zhihong GongRoswell Park Cancer Institute, Buffalo, New York.
Jean Wactawski-WendeUniversity at Buffalo, Buffalo, New York.
Ross L PrenticeDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Fred Hutch Cancer Center · USRoswell Park Comprehensive Cancer Center · USThe Ohio State University · USUniversity at Buffalo, State University of New York · USUniversity of Washington · US

Funding

Aberrant DNA methylation patterns of miRNAs and breast cancer racial disparitiesK07CA178293 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI GONG, ZHIHONG · 2014 to 2018
$720k
NCI NIH HHS K07 CA178293NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CWHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundResults from prospective studies suggest that nonsteroidal anti-inflammatory drugs (NSAID) may decrease lung cancer risk; however, any protective effect appears to be most evident in men.

methodsWe evaluated the associations between NSAID use and lung cancer incidence in postmenopausal women in the Women's Health Initiative (WHI) adjusting for female-specific potential confounders such as hormone therapy in addition to smoking histories and other potential confounders. We identified 143,841 women from ages 50 to 79 and 1,902 centrally confirmed lung cancer cases were included in the analysis. We used Cox regression models to estimate HRs and their 95% confidence intervals (CI).

resultsCompared with nonuse, regular NSAID use was not associated with overall lung cancer incidence (NSAID use >10 years HR 0.87; 95% CI, 0.71-1.08, P(trend) = 0.13). No statistically significant associations were found when examined by histologic subtypes and although there was a trend of decreased risk with longer duration of NSAID use in the adenocarcinoma subtype, this was not statistically significant (NSAID use >10 years HR 0.80; 95% CI, 0.58-1.10; P(trend) = 0.07).

conclusionOur study did not show that NSAID use is associated with lung cancer risk in women even after adjusting for female-specific confounders. There was a trend of decreased risk in the adenocarcinoma subtype; however, this was not statistically significant. IMPACT: Future studies will need to take in account the various molecular subtypes of non-small cell lung cancer to further elucidate the role of NSAIDs in lung cancer, especially for the adenocarcinoma subtype.

Indexed as

PostmenopauseAgedAnti-Inflammatory Agents, Non-SteroidalAspirinFemaleHumansIncidenceLung NeoplasmsMiddle AgedProportional Hazards ModelsRisk FactorsAnti-Inflammatory Agents, Non-SteroidalAspirin

Identifiers

PMID25670808
PMCPMC4578149
OpenAlexW2145502209

What OpenQuestion holds

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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.