Evidence map›Paper›PMID 39991663›Full record

ArticleJournal of inflammation research2025

Combined Inflammatory Markers for Predicting Acute Exacerbations in Chronic Obstructive Pulmonary Disease With Respiratory Failure.

Xiao-Hua Zhang, Ming-Feng Han, Xiao-Bao Teng, Jing-Feng Shi, Xiao-Ling Xu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. The Role of Advanced Lung Cancer Inflammation Index in Predicting COPD Exacerbation Risks.International journal of chronic obstructive pulmonary disease · 2026
    Article
  5. 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

5 authors.

Xiao-Hua ZhangCheeloo College of Medicine, Shandong University, Jinan, 250000, Shandong, People's Republic of China.
Ming-Feng HanDepartment of Respiratory and Critical Care Medicine, The Second People's Hospital of Fuyang City, Fuyang, Anhui, 236015, People's Republic of China.
Xiao-Bao TengDepartment of Respiratory and Critical Care Medicine, The Second People's Hospital of Fuyang City, Fuyang, Anhui, 236015, People's Republic of China.
Jing-Feng ShiDepartment of Respiratory and Critical Care Medicine, The Second People's Hospital of Fuyang City, Fuyang, Anhui, 236015, People's Republic of China.
Xiao-Ling XuCheeloo College of Medicine, Shandong University, Jinan, 250000, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the predictive value of the neutrophil-lymphocyte ratio (NLR), C-reactive protein/albumin ratio (CAR), and serum amyloid A (SAA) in predicting acute exacerbations of chronic obstructive pulmonary disease (AECOPD) complicated by respiratory failure (RF). Methods: A retrospective study was conducted on 198 patients with AECOPD in the Respiratory Department of No. 2 People's Hospital of Fuyang City from December 2022 to May 2023. Patients were categorized into two groups: an experimental group with the presence of RF (n = 70) and a control group with no RF present (n = 128). Baseline characteristics and inflammatory marker levels were compared between the two groups, and their impact on the risk of readmission within one year was analyzed to assess the predictive value of NLR, CAR, and SAA in patients with AECOPD and RF. Results: The experimental group exhibited significantly higher levels of white blood cells, neutrophils, C-reactive protein (CRP), SAA, NLR, and CAR compared to the control group. Additionally, the experimental group had a higher one-year readmission rate, with statistically significant differences. The areas under the receiver operating characteristic (ROC) curve for NLR, CAR, and SAA in predicting AECOPD with RF were 0.705, 0.659, and 0.656, respectively. When combined, the ROC area under the curve for these three markers increased to 0.717, which was statistically significant. Conclusion: The combined assessment of NLR, CAR, and SAA offers a reliable reflection of systemic inflammation and holds predictive value for AECOPD with RF.

Indexed as

acute exacerbation of chronic obstructive pulmonary diseaseC-reactive protein/albumin rationeutrophil-lymphocyte ratiopredictive valueserum amyloid A

Identifiers

PMID39991663
PMCPMC11847442

What Socratic 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 Socratic graph.