Evidence map›Paper›PMID 39876907›Full record

ArticleJournal of medical biochemistry2024

Influence mechanism of serum free immunoglobulin light chain on pulmonary inflammatory response and serum levels of inflammatory factors in patients with chronic obstructive pulmonary disease.

Ying Fang, Dandan Hu, Qin Li, Mei Chen, Cuiying Yin

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

5 authors.

Ying FangThird Affiliated Hospital of Zhejiang Chinese Medicine University, Department of Respiratory and Critical Care Medicine, Hangzhou, Zhejiang Province, China.
Dandan HuThird Affiliated Hospital of Zhejiang Chinese Medicine University, Department of Respiratory and Critical Care Medicine, Hangzhou, Zhejiang Province, China.
Qin LiThird Affiliated Hospital of Zhejiang Chinese Medicine University, Department of Respiratory and Critical Care Medicine, Hangzhou, Zhejiang Province, China.
Mei ChenThird Affiliated Hospital of Zhejiang Chinese Medicine University, Department of Respiratory and Critical Care Medicine, Hangzhou, Zhejiang Province, China.
Cuiying YinThird Affiliated Hospital of Zhejiang Chinese Medicine University, 2Department of Critical Care Medicine, Hangzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pathogenesis of chronic obstructive pulmonary disease (COPD) is not fully understood. This work aimed to demonstrate the role of serum free light chains (sFLC) in the pulmonary inflammatory response of COPD patients and its relationship with serum inflammatory cytokine (IC) levels. Methods: Eighty subjects were enrolled, including 40 COPD patients (COPD group) and 40 healthy controls (control group). All patients were further rolled into four subgroups regarding the Global Initiative for Chronic Obstructive Lung Disease (GOLD) staging criteria. The serum levels of sFLC and ICs were compared between the two groups, and their correlations with lung function indicators were analyzed. Results: The serum sFLC levels of COPD patients were markedly superior to those of healthy controls. The levels of serum sFLC and ICs (tumour necrosis factor-a (TNF-a), interleukin (IL)-6, IL-8) gradually increased with the severity of the disease. The levels of ICs were negatively correlated with lung function indicators (FEV1% predicted, FEV1/FVC). Conclusions: These findings suggest that serum sFLC may play a critical role in the pulmonary inflammatory response of COPD patients and serve as a potential indicator for evaluating COPD severity and predicting disease progression.

Indexed as

chronic obstructive pulmonary diseaseinflammatory factorslung function indexserum free immunoglobulin light chain

Identifiers

PMID39876907
PMCPMC11771967

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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.