Evidence map›Paper›PMID 40690164›Full record

ReviewRheumatology and therapy2025

Treatment Strategies for Acute Exacerbation of Interstitial Lung Disease Associated with Systemic Autoimmune Rheumatic Diseases in Chinese Patients: A Scoping Review.

Min Li, Yu Du, Xiaojuan Yang

Abstract readReview
In one paragraph

Review in Rheumatology and therapy, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Min Li *Chongqing Key Laboratory of Emergency Medicine, Chongqing, 400014, China.
Yu Du *Chongqing Key Laboratory of Emergency Medicine, Chongqing, 400014, China.
Xiaojuan YangChongqing Key Laboratory of Emergency Medicine, Chongqing, 400014, China. yxj_rheumatology@163.com.ORCID http://orcid.org/0009-0002-1047-4472

Funding

the Open Project Fund of Chongqing Key Laboratory of Emergency Medicine 2024KFKTYB08
6 · The paper itself

Abstract

Connective tissue disease-related interstitial lung disease (CTD-ILD) refers to a range of pulmonary complications arising from connective tissue disorders, characterized by alveolar inflammation and interstitial fibrosis. Various factors, such as the specific type of connective tissue disease, infections, and hypoxemia, influence acute exacerbations of CTD-ILD. Treatment strategies typically include targeted interventions for precipitating factors, glucocorticoids, immunosuppressants, and supportive care. Glucocorticoids play a key role in managing acute exacerbations of CTD-ILD; however, the optimal dosing and duration of treatment remain uncertain. Immunosuppressants show potential therapeutic value, but further studies are needed to determine the most effective regimens for CTD-ILD patients. Supportive care, including respiratory support and oxygen therapy, is crucial for symptom relief and correction of hypoxia. Despite recent treatment advancements in China, significant challenges remain in optimizing outcomes and improving survival rates in CTD-ILD, highlighting the need for a comprehensive, individualized management approach for Chinese patients. Future research should focus on elucidating the pathogenesis of CTD-ILD, tailoring treatment strategies, and establishing standardized diagnostic and management protocols based on the Chinese population.

Indexed as

Acute exacerbationGlucocorticoidsImmunosuppressorInterstitial lung disease with systemic autoimmune rheumatic diseasesSystemic autoimmune rheumatic disease

Identifiers

PMID40690164
PMCPMC12450174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.