Evidence map›Paper›PMID 40223944›Full record

ArticleJournal of thoracic disease2025

The significance of periostin in the diagnosis of idiopathic pulmonary fibrosis and prediction of acute exacerbations.

Shi Wu, Hua Liu, Shijia Yin, Yun Wang, Xiaoxiao Liu, Zhen Ding

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shi WuDepartment of Respiratory and Critical Care Medicine, the Third Affiliated Hospital of Anhui Medical University, Hefei, China.
Hua LiuAnhui Institutes for Food and Drug Control, Hefei, China.
Shijia YinDepartment of Respiratory and Critical Care Medicine, the Third Affiliated Hospital of Anhui Medical University, Hefei, China.
Yun WangDepartment of Respiratory and Critical Care Medicine, the Third Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaoxiao LiuDepartment of Respiratory and Critical Care Medicine, the Third Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhen DingDepartment of Respiratory and Critical Care Medicine, the Third Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to elucidate the capability of periostin (POSTN) as a serum biomarker in diagnosing idiopathic pulmonary fibrosis (IPF), assessing disease severity, and predicting acute exacerbations of IPF (AE-IPF), and to compare it with traditional IPF serum biomarkers Krebs von den Lungen-6 (KL-6), surfactant protein A (SP-A), and surfactant protein D (SP-D). Methods: From October 2022 to October 2023, 55 patients who were diagnosed with IPF and treated at the Third Affiliated Hospital of Anhui Medical University were enrolled in the IPF group. Additionally, 30 patients with bacterial pneumonia (BP) and 30 healthy individuals were selected as the BP and healthy control (HC) groups, respectively. All participants underwent pulmonary function tests, and enzyme-linked immunosorbent assay (ELISA) was used to measure serum POSTN, KL-6, SP-A, and SP-D levels. IPF patients also underwent high-resolution computed tomography (HRCT) to quantify HRCT scores. Receiver operating characteristic (ROC) curves were plotted to obtain sensitivity and specificity. Binary logistic regression analysis was conducted to identify AE-IPF risk factors. Results: Serum POSTN, KL-6, SP-A, and SP-D concentrations were significantly greater in the IPF group than in the BP and HC groups (P<0.001), whereas serum SP-A and SP-D levels were greater in the BP group than in the HC group (P=0.001, P=0.04). The sensitivity of POSTN for diagnosing IPF is 94.5%, and the specificity is 93.3%, both of which are higher than those of KL-6, SP-A, and SP-D. Within the IPF group, serum POSTN levels were negatively correlated with the percentage of predicted forced expiratory volume in one second (FEV Conclusions: POSTN is a valuable serum biomarker for IPF and has the highest sensitivity and specificity among the four serum markers, with a diagnostic performance superior to that of KL-6, SP-A, and SP-D. DLCO%pred and KL-6 have high predictive value for AE-IPF.

Indexed as

Idiopathic pulmonary fibrosis (IPF)Krebs von den Lungen-6 (KL-6)periostin (POSTN)surfactant protein A (SP-A)surfactant protein D (SP-D)

Identifiers

PMID40223944
PMCPMC11986764

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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.