Evidence map›Paper›PMID 25664059›Full record

ArticleInternational journal of clinical and experimental medicine2014

Serum cystatin C as a potential biomarker for the evaluation COPD.

Yonghong Zhang, Yanting Zhu, Yuanyuan Wu, Guizuo Wang, Xinming Xie, Rui Ke, Shaojun Li, Lu Liu, Wei Fen, Fengjuan Li and 2 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 41% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

12 authors at 1 institution in 1 country.

Yonghong ZhangDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Yanting ZhuDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Yuanyuan WuDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Guizuo WangDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Xinming XieDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Rui KeDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Shaojun LiDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Lu LiuDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Wei FenDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Fengjuan LiDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Fangxia LiDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Manxiang LiDepartment of Respiratory Medicine, Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an 710004, Shanxi, People's Republic of China.
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImbalance between protease-antiprotease plays an important role in the pathogenesis of chronic obstructive pulmonary disease (COPD). Cystatin C in circulating blood is a cysteine protease inhibitor and contributes to elastolysis and tissue destruction.

objectivesThe aims of the present study were to investigate whether cystatin C was a promising biomarker for the evaluation and follow-up of patients with COPD.

methodsSerum cystatin C level was determined in groups of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) (n = 93), stable COPD (SCOPD) (n = 299) and healthy controls (n = 151). The influences of smoking on the level of serum cystatin C and the correlation of cystatin C with lung functional parameters were further analyzed.

resultsSerum cystatin C level was significantly higher in COPD patients than that of healthy controls. Smoking increased serum cystatin C level in patients with SCOPD but not in AECOPD and control. In SCOPD group, serum cystatin C level was positively correlated with RV%TLC and negatively correlations with FEV1% predicted, FEV1%FVC, MMEF75/25% predicted, MVV% predicted and DLco% predicted. In multiple line analysis, FEV1% predicted and age were found to be independent predictors of serum cystatin C levels, but not smoking statue, sex and BMI.

conclusionsCOPD had a higher level of serum cystatin C, smoking only increased cystatin C level in SCOPD. Serum cystatin C level was negatively correlated with FEV1% predicted. These results suggest that cystatin C might be a potential biomarker for lung tissue destruction and severity of COPD.

Indexed as

biomarkercathepsinsCOPDcystatin Clung function

Identifiers

PMID25664059
PMCPMC4307506
OpenAlexW90446921

What OpenQuestion holds

Textmetadata
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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.