Evidence map›Paper›PMID 38962100›Full record

ArticleChinese medical journal pulmonary and critical care medicine2024

Biomarkers in idiopathic pulmonary fibrosis: Current insight and future direction.

Zhen Zheng, Fei Peng, Yong Zhou

Abstract read
In one paragraph

Article in Chinese medical journal pulmonary and critical care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Multi-omics insights into the mechanisms and prognosis of IPF.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026
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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.

Zhen ZhengSection of Pulmonary Diseases, Critical Care and Environmental Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Fei PengSection of Pulmonary Diseases, Critical Care and Environmental Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Yong ZhouSection of Pulmonary Diseases, Critical Care and Environmental Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.

Funding

Mechano-niche in Lung Repair after InjuryR01HL156973 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ZHOU, YONG · 2021 to 2024
$2.4M
Targeting Matrix Stiffness in Lung Fibrosis Associated with AgingR01HL139584 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ZHOU, YONG · 2018 to 2024
$2.2M
NHLBI NIH HHS R01 HL139584NHLBI NIH HHS R01 HL156973
6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive interstitial lung disease with a dismal prognosis. Early diagnosis, accurate prognosis, and personalized therapeutic interventions are essential for improving patient outcomes. Biomarkers, as measurable indicators of biological processes or disease states, hold significant promise in IPF management. In recent years, there has been a growing interest in identifying and validating biomarkers for IPF, encompassing various molecular, imaging, and clinical approaches. This review provides an in-depth examination of the current landscape of IPF biomarker research, highlighting their potential applications in disease diagnosis, prognosis, and treatment response. Additionally, the challenges and future perspectives of biomarker integration into clinical practice for precision medicine in IPF are discussed.

Indexed as

BiomarkerDiagnosisIdiopathic pulmonary fibrosisPrognosisTreatment

Identifiers

PMID38962100
PMCPMC11221783

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.