Evidence map›Paper›PMID 35646972›Full record

ArticleFrontiers in medicine2022

Harnessing PM2.5 Exposure Data to Predict Progression of Fibrotic Interstitial Lung Diseases Based on Telomere Length.

Jessica Germaine Shull, Lurdes Planas-Cerezales, Carla Lara Compte, Rosario Perona, Maria Molina-Molina

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Air pollution and alveolar health.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  2. Review
  3. 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

5 authors at 4 institutions in 1 country.

Jessica Germaine ShullInterstitial Lung Disease (ILD) Multidisciplinary Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Universitat de Barcelona, Hospitalet de Llobregat, L'Hospitalet de Llobregat, Spain.
Lurdes Planas-CerezalesInterstitial Lung Disease (ILD) Multidisciplinary Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Universitat de Barcelona, Hospitalet de Llobregat, L'Hospitalet de Llobregat, Spain.
Carla Lara CompteInterstitial Lung Disease (ILD) Multidisciplinary Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Universitat de Barcelona, Hospitalet de Llobregat, L'Hospitalet de Llobregat, Spain.
Rosario PeronaInstituto de Investigaciones Biomedicas Consejo Superior de Investigaciones Científicas/Universidad Autónoma de Madrid (CSIC/UAM), Madrid, Spain.
Maria Molina-MolinaInterstitial Lung Disease (ILD) Multidisciplinary Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Universitat de Barcelona, Hospitalet de Llobregat, L'Hospitalet de Llobregat, Spain.
Institut d'Investigació Biomédica de Bellvitge · ESConsejo Superior de Investigaciones Científicas · ESInstituto de Salud Carlos III · ESUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-analysis of clinical and pollution factors could help calculate the risk of fibrotic interstitial lung disease (ILD) development and progression. The intent of this study is to build a body of knowledge around early detection and diagnosis of lung disease, harnessing new data sets generated for other purposes. We cross-referenced exposure levels to particulate matter 2.5 (PM2.5) with telomere length of a cohort of 280 patients with fibrotic ILD to weigh impact and associations. There was no linear correlation between PM2.5 and telomere length in our data sets, as the value of the correlation coefficient was 0.08. This exploratory study offers additional insights into methodologies for investigating the development and prognosis of pulmonary fibrosis.

Indexed as

big dataimpact PM2.5pollutionpulmonary fibrosistelomeres

Identifiers

PMID35646972
PMCPMC9133476
OpenAlexW4280518475

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.