Evidence map›Paper›PMID 31220278›Full record

ArticleInternational journal of epidemiology2019

Cohort Profile: The American Manufacturing Cohort (AMC) study.

Holly Elser, Andreas M Neophytou, Erika Tribett, Deron Galusha, Sepideh Modrek, Elizabeth M Noth, Valerie Meausoone, Ellen A Eisen, Linda F Cantley, Mark R Cullen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

10 authors.

Holly ElserDivision of Epidemiology, UC Berkeley School of Public Health, Berkeley, CA, USA.
Andreas M NeophytouDivision of Environmental Health Sciences, UC Berkeley School of Public Health, Berkeley, CA, USA.
Erika TribettCenter for Population Health Sciences, Stanford University, Stanford, CA, USA.
Deron GalushaDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Sepideh ModrekDepartment of Economics, San Francisco State University, College of Business, San Francisco, CA, USA.
Elizabeth M NothCenter for Population Health Sciences, Stanford University, Stanford, CA, USA.
Valerie MeausooneCenter for Population Health Sciences, Stanford University, Stanford, CA, USA.
Ellen A EisenDivision of Environmental Health Sciences, UC Berkeley School of Public Health, Berkeley, CA, USA.
Linda F CantleyDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Mark R CullenCenter for Population Health Sciences, Stanford University, Stanford, CA, USA.

Funding

Risk factors for Alzheimer's Disease and Related Dementia: Evidence from a Large Occupational CohortR01AG026291 · NIA · YALE UNIVERSITY · PI CANTLEY, LINDA, EISEN, ELLEN AURA · 2006 to 2021
$12.9M
Occupational Exposure to PM2.5 and Cardiovascular Disease(CVD)R01OH009939 · OH · STANFORD UNIVERSITY · PI CANTLEY, LINDA, CULLEN, MARK RICHARD · 2011 to 2019
$4.7M
Determinates of Depression Among Female Blue-Collar WorkersF31MH112246 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI ELSER, HOLLY · 2017 to 2019
$64k
NIA NIH HHS R01 AG026291NIMH NIH HHS F31 MH112246NIOSH CDC HHS R01 OH009939
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AdultAudiometryBiometryBody Mass IndexCohort StudiesFemaleHealth StatusHumansInsurance Claim ReviewMaleManufacturing and Industrial FacilitiesMiddle AgedMyocardial IschemiaOccupational ExposureOccupational HealthResearch Design

Identifiers

PMID31220278
PMCPMC6857757

What OpenQuestion holds

Textmetadata
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.