Evidence map›Paper›PMID 33312849›Full record

ArticleCurrent pulmonology reports2019

Acute exacerbation of idiopathic pulmonary fibrosis: who to treat, how to treat.

Tejaswini Kulkarni, Steven R Duncan

Open access · greenAbstract read
In one paragraph

Article in Current pulmonology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Idiopathic pulmonary fibrosis: Current and future treatment.The clinical respiratory journal · 2022
    Review
  4. 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

2 authors at 1 institution in 1 country.

Tejaswini KulkarniDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of Alabama at Birmingham, Birmingham AL 35294.
Steven R DuncanDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of Alabama at Birmingham, Birmingham AL 35294.
University of Alabama at Birmingham · US

Funding

Autoantibody-Targeted Therapy for Acute Exacerbations of Idiopathic Pulmonary FibrosisU01HL133232 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CRINER, GERARD J, DUNCAN, STEVEN R · 2017 to 2021
$3.8M
Rituximab Therapy in Patients with IPFR01HL119960 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, STEVEN R, KASS, DANIEL J · 2013 to 2018
$3.4M
NHLBI NIH HHS R01 HL119960NHLBI NIH HHS U01 HL133232
6 · The paper itself

Abstract

purpose of reviewAcute exacerbations of idiopathic pulmonary fibrosis (AE-IPF) are the most frequent cause of death among patients with IPF. Here, we review the revised definition and diagnostic criteria for AE-IPF and discuss management strategies including mechanistically targeted investigational therapies for this complex syndrome. RECENT

findingsNovel therapies targeting various pathways including inflammation, autoimmunity and coagulation cascade involved in AE-IPF have recently been reported. Although most of these reports are small and uncontrolled, they have provided evidence to design larger randomized, controlled, multicenter studies to improve outcomes among patients with AE-IPF. SUMMARY: AE-IPF has a dismal prognosis and current treatment consists mainly of supportive care and symptom palliation. There is a lack of consensus on current therapies for AE-IPF, including corticosteroids, but current randomized control studies for newer therapeutic strategies may hold promise.

Indexed as

Acute exacerbationidiopathic pulmonary fibrosismanagement

Identifiers

PMID33312849
PMCPMC7732144
OpenAlexW2990038625

What OpenQuestion holds

Textmetadata
LicenceTDM
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.