Evidence map›Paper›PMID 30845693›Full record

ArticleInternational journal of environmental research and public health2019

Sarcoid-Like Granulomatous Disease: Pathologic Case Series in World Trade Center Dust Exposed Rescue and Recovery Workers.

Vasanthi R Sunil, Jared Radbel, Sabiha Hussain, Kinal N Vayas, Jessica Cervelli, Malik Deen, Howard Kipen, Iris Udasin, Robert Laumbach, Jag Sunderram and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 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
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Particles exposures and sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
    Article
  2. Mutagenicity of the organic fraction of World Trade Center dust.Environmental and molecular mutagenesis · 2023
    Article
  3. Review
  4. Review
  5. Editorial for "Long-Term Health Effects of the 9/11 Disaster" inInternational journal of environmental research and public health · 2019
    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 at 1 institution in 1 country.

Vasanthi R SunilErnest Mario School of Pharmacy, Rutgers University, Piscataway, NJ 08854, USA. sunilva@pharmacy.rutgers.edu.
Jared RadbelRobert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08901, USA. jr1106@rwjms.rutgers.edu.ORCID 0000-0002-3013-6270
Sabiha HussainRobert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08901, USA. sabiha.hussain@rutgers.edu.
Kinal N VayasErnest Mario School of Pharmacy, Rutgers University, Piscataway, NJ 08854, USA. kinalv5@pharmacy.rutgers.edu.
Jessica CervelliErnest Mario School of Pharmacy, Rutgers University, Piscataway, NJ 08854, USA. j.cervelli@pharmacy.rutgers.edu.
Malik DeenRobert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08901, USA. malik.deen@rutgers.edu.
Howard KipenSchool of Public Health, Rutgers University, Piscataway, NJ 08854, USA. kipen@eohsi.rutgers.edu.
Iris UdasinSchool of Public Health, Rutgers University, Piscataway, NJ 08854, USA. iu22@eohsi.rutgers.edu.
Robert LaumbachSchool of Public Health, Rutgers University, Piscataway, NJ 08854, USA. laumbach@eohsi.rutgers.edu.
Jag SunderramRobert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08901, USA. sunderja@rwjms.rutgers.edu.
Jeffrey D LaskinSchool of Public Health, Rutgers University, Piscataway, NJ 08854, USA. jlaskin@eohsi.rutgers.edu.
Debra L LaskinErnest Mario School of Pharmacy, Rutgers University, Piscataway, NJ 08854, USA. laskin@eohsi.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

World Trade Center Monitoring and Treatment ProgramU10OH008239 · OH · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI UDASIN, IRIS GREENBERG · 2004 to 2012
$12.0M
NIOSH CDC HHS U100H008239
6 · The paper itself

Abstract

Sarcoid-like granulomatous diseases (SGD) have been previously identified in cohorts of World Trade Center (WTC) dust-exposed individuals. In the present studies, we analyzed lung and/or lymph node biopsies from patients referred to our clinic with suspected WTC dust-induced lung disease to evaluate potential pathophysiologic mechanisms. Histologic sections of lung and/or lymph node samples were analyzed for markers of injury, oxidative stress, inflammation, fibrosis, and epigenetic modifications. Out of seven patients examined, we diagnosed four with SGD and two with pulmonary fibrosis; one was diagnosed later with SGD at another medical facility. Patients with SGD were predominantly white, obese men, who were less than 50 years old and never smoked. Cytochrome b5, cytokeratin 17, heme oxygenase-1, lipocalin-2, inducible nitric oxide synthase, cyclooxygenase 2, tumor necrosis factor α, ADP-ribosylation factor-like GTPase 11, mannose receptor-1, galectin-3, transforming growth factor β, histone-3 and methylated histone-3 were identified in lung and lymph nodes at varying levels in all samples examined. Three of the biopsy samples with granulomas displayed peri-granulomatous fibrosis. These findings are important and suggest the potential of WTC dust-induced fibrotic sarcoid. It is likely that patient demographics and/or genetic factors influence the response to WTC dust injury and that these contribute to different pathological outcomes.

Indexed as

Occupational ExposureSeptember 11 Terrorist AttacksAdultDustFemaleHumansMaleMiddle AgedSarcoidosisDustfibrosisfibrotic sarcoidinflammationinjuryWTC

Identifiers

PMID30845693
PMCPMC6427752
OpenAlexW2919844747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.