Evidence map›Paper›PMID 32396774›Full record

ArticleAmerican journal of respiratory and critical care medicine2020

Occupational Exposures and Lung Cancer.

David C Christiani

Abstract readEditorialComment
In one paragraph

Article in American journal of respiratory and critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Etiology of lung cancer: Evidence from epidemiologic studies.Journal of the National Cancer Center · 2022
    Review
  10. Article
  11. Article
  12. Multidisciplinary team care in lung cancer.Translational lung cancer research · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

David C ChristianiDepartment of Environmental HealthandDepartment of EpidemiologyHarvard T.H. Chan School of Public HealthBoston, Massachusettsand.ORCID 0000-0002-0301-0242

Funding

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
NCI NIH HHS R35 CA197449
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Lung NeoplasmsOccupational ExposureCase-Control StudiesHumansSilicon DioxideSmokingSilicon Dioxide

Identifiers

PMID32396774
PMCPMC7397805

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.