Evidence map›Paper›PMID 30836056›Full record

ArticleChest2019

Validation of Predictive Metabolic Syndrome Biomarkers of World Trade Center Lung Injury: A 16-Year Longitudinal Study.

Sophia Kwon, George Crowley, Erin J Caraher, Syed Hissam Haider, Rachel Lam, Arul Veerappan, Lei Yang, Mengling Liu, Rachel Zeig-Owens, Theresa M Schwartz and 2 more

Abstract read
In one paragraph

Article in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Dynamic Metabolic Risk Profiling of World Trade Center Lung Disease: A Longitudinal Cohort Study.American journal of respiratory and critical care medicine · 2021
    Article
  12. Article
  13. Review
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Genomics of Particulate Matter Exposure Associated Cardiopulmonary Disease: A Narrative Review.International journal of environmental research and public health · 2019
    Review
  20. 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

12 authors.

Sophia KwonDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, NY.
George CrowleyDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, NY.
Erin J CaraherDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, NY.
Syed Hissam HaiderDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, NY.
Rachel LamDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, NY.
Arul VeerappanDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, NY.
Lei YangDivision of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY.
Mengling LiuDivision of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY.
Rachel Zeig-OwensBureau of Health Services and Office of Medical Affairs, Fire Department of New York, New York, NY; Pulmonary Medicine Division, Department of Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, New York, NY.
Theresa M SchwartzBureau of Health Services and Office of Medical Affairs, Fire Department of New York, New York, NY; Pulmonary Medicine Division, Department of Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, New York, NY.
David J PrezantBureau of Health Services and Office of Medical Affairs, Fire Department of New York, New York, NY; Pulmonary Medicine Division, Department of Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, New York, NY.
Anna NolanDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, NY; Department of Environmental Medicine, New York University School of Medicine, New York, NY; Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, New York, NY. Electronic address: anna.nolan@med.nyu.edu.

Funding

Metabolomics of World Trade Center-Lung Injury: Biomarker Validation, Longitudinal Assessment and Dietary InterventionU01OH011300 · OH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NOLAN, ANNA · 2017 to 2025
$4.8M
RAGE Mediates LPA Induced Pulmonary InflammationR01HL119326 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NOLAN, ANNA · 2015 to 2019
$2.1M
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetSyn) predicted future development of World Trade Center lung injury (WTC-LI) in a subgroup of firefighters who never smoked and were male. An intracohort validation of MetSyn as a predictor of WTC-LI is examined in the cohort exposed to the World Trade Center (WTC) that has been followed longitudinally for 16 years.

methodsResults of pulmonary function tests (n = 98,221) in workers exposed to the WTC (n = 9,566) were evaluated. A baseline cohort of firefighters who had normal FEV

resultsCase subjects were more likely to smoke, be highly exposed, and have MetSyn. There was a significant exposure dose response; the individuals most highly exposed had a 30.1% increased risk of developing WTC-LI, having MetSyn increased risk of developing WTC-LI by 55.7%, and smoking increased risk by 15.2%. There was significant interaction between smoking and exposure.

conclusionsWe validated the usefulness of MetSyn to predict future WTC-LI in a larger population of individuals who were exposed. MetSyn defined by dyslipidemia, insulin resistance, and cardiovascular disease suggests that systemic inflammation can contribute to future lung function loss.

Indexed as

September 11 Terrorist AttacksAdultBiomarkersForced Expiratory VolumeHumansLongitudinal StudiesLung InjuryMaleMetabolic SyndromeMiddle AgedPredictive Value of TestsReproducibility of ResultsTime FactorsBiomarkerslung injurymetabolic syndromevalidationWorld Trade Center

Identifiers

PMID30836056
PMCPMC6717118

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.