Evidence map›Paper›PMID 34691383›Full record

ReviewInternational journal of inflammation2021

Idiopathic Pulmonary Comorbidities and Mechanisms.

Maricica Pacurari, Amal Mitra, Timothy Turner

Open access · goldAbstract readReview
In one paragraph

Review in International journal of inflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

Maricica PacurariDepartment of Biology, College of Science, Engineering, and Technology, Jackson State University, Jackson, MS 39217, USA.ORCID https://orcid.org/0000-0001-6348-379X
Amal MitraDepartment of Epidemiology and Biostatistics, School of Public Health, Jackson State University, Jackson, MS 39217, USA.
Timothy TurnerDepartment of Biology, College of Science, Engineering, and Technology, Jackson State University, Jackson, MS 39217, USA.
Jackson State University · US

Funding

Strengthening the Biomedical Data Science Training Program at Jackson State UniversityU54MD015929 · NIMHD · JACKSON STATE UNIVERSITY · PI STEVENS, JACQUELINE JEANETTE · 2020 to 2024
$12.1M
NIMHD NIH HHS U54 MD015929
6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a disease with an unknown etiology mainly characterized by a progressive decline of lung function due to the scarring of the tissue deep in the lungs. The overall survival after diagnosis remains low between 3 and 5 years. IPF is a heterogeneous disease and much progress has been made in the past decade in understanding the disease mechanisms that contributed to the development of two new drugs, pirfenidone and nintedanib, which improved the therapeutic management of the disease. The understanding of the cofactors and comorbidities of IPF also contributed to improved management of the disease outcome. In the present review, we evaluate scientific evidence which indicates IPF as a risk factor for other diseases based on the complexity of molecular and cellular mechanisms involved in the disease development and of comorbidities. We conclude from the existing literature that while much progress has been made in understating the mechanisms involved in IPF development, further studies are still necessary to fully understand IPF pathogenesis which will contribute to the identification of novel therapeutic targets for IPF management as well as other diseases for which IPF is a major risk factor.

Identifiers

PMID34691383
PMCPMC8528608
OpenAlexW3207949407

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.