Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 28Occupational and environmental lung diseasesInterstitial Lung Diseases and Idiopathic Pulmonary FibrosisSarcoidosis and Beryllium Toxicity Research

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Serum CA125 and NSE: Biomarkers of disease severity in patients with silicosis

Fang, Shen-Cun, Zhang, Hai-Tao, Wang, Cai-Ying, Zhang, Ying-Ming·2014·Clinica Chimica Acta

Abstract

Background We investigated the clinical significance of tumor markers in patients with silicosis.Methods Eighty silicosis patients without malignancy and 50 healthy volunteers were compared for serum tumor marker concentrations. Pulmonary function and several routine laboratory tests were performed. Correlation between serum tumor marker concentrations and severity markers for silicosis was analyzed. Tumor marker concentrations were detected in both blood and BALF samples in silicosis patients. The pre- and post-lavage differences in the serum tumor marker concentrations were also investigated. Immunohistochemical staining for tumor markers was performed in a lung biopsy specimen from a silicosis patient.Results Both serum NSE and CA125 concentrations were significantly higher in cases compared with controls. Significant positive correlations were found between values of NSE and CA125 and LDH concentration. Significant negative correlations were also observed between values of NSE and CA125 and spirometric parameters. Patients with silicosis had higher concentrations of NSE in BALF than that in serum. 11 of 14 patients experienced a decrease in NSE concentrations following whole lung lavage. Immunohistochemical studies showed positive NSE staining in lung biopsy specimen.Conclusions Serum NSE and CA125 concentrations would provide valuable clinical information to assess disease severity in silicosis.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.cca.2014.03.005

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 17 references

Research works printed but not linked: 1

  1. Fang, 2013, Elevated tumor markers in patients with pulmonary alveolar proteinosis, Clin Chem Lab Med, 1

Cited by

See all 28

Metadata

Authors
Fang, S.-C., Zhang, H.-T., Wang, C.-Y., & Zhang, Y.-M.
Affiliations
Nanjing Chest Hospital (CN)
Corresponding author
Zhang, Ying-Ming
Venue
Clinica Chimica Acta
Publisher
Elsevier BV
Published
2014-06
Volume
433
Pages
123-127
ISSN
0009-8981 (ISSN-L)
OpenAlex
W2020760718
Cited by
28
References
17
Citations by year
2026: 1 · 2025: 4 · 2024: 4 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 1
FWCI
1.87
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Clinica Chimica Acta (publishedVersion)
  • PubMed (publishedVersion)
Funders
Nanjing Health Bureau (ZKK12036)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Occupational and environmental lung diseases
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Sarcoidosis and Beryllium Toxicity Research
Keywords
silicosis, CA125, neuron-specific enolase, tumor markers, disease severity, serum biomarkers, bronchoalveolar lavage, lung lavage, lactate dehydrogenase, lung function, lung biopsy
MeSH terms
Adult, Aged, Bronchoalveolar Lavage Fluid, Humans, Male, Middle Aged, Phosphopyruvate Hydratase, Silicosis, Biomarkers, Tumor, Case-Control Studies, CA-125 Antigen

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.