Evidence map›Paper›PMID 28352768›Full record

ArticleOpen medicine (Warsaw, Poland)2016

The diagnostic value of serum CEA, NSE and MMP-9 for on-small cell lung cancer.

Liu Xu, Wang Lina, Yin Xuejun

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  8. Review
  9. Prognostic Value of Enolase Gene Family in Colon Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

3 authors.

Liu XuDepartment of Clinical Laboratory, First Teaching Hospital of Tianjin University of TCM, Tianjin 300193 China.
Wang LinaDepartment of Clinical Laboratory, The 2nd People's Hospital of Tianjin, 300192 China.
Yin XuejunDepartment of Clinical Laboratory, First Teaching Hospital of Tianjin University of TCM, Tianjin 300193 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is the leading cause of cancer related deaths worldwide. But no one type of serum biomarker was found to be highly sensitive and specific for detection of lung cancer at present. So, the aim of this study was to evaluate a diagnostic value of serum carcinoembryonic antigen (CEA), neuron specific enolase (NSE) and matrix metallo-proteinase (MMP-9) for non-small cell lung cancer. Thirty-six cases with pathology confirmed non-small cell lung cancer and thirty-two of subjects with benign lung disease were reviewed in our hospital and included in this retrospective study. The serum level of CEA, NSE and MMP-9 were tested and compared between the non-small cell lung cancer patients and benign lung disease. The diagnosis sensitivity, specificity and area under the receiver-operating characteristic (ROC) curve (AUC) for serum CEA, NSE and MMP-9 were calculated with STATA10.0 software. The serum CEA, NSE and MMP-9 were 32.0±16.7 ng/mL, 51.6±68.3 ng/mL, 30.6 ±15.7 μg/L for the NSCLC patients and 15.1±10.9 ng/mL, 4.9±3.1 ng/mL, 9.3±5.9 μg/L for the benign lung disease patients with statistical difference (Pall<0.05); The diagnosis sensitivity, specificity and AUC were 80.0%, 72.2%, 0.84 for the serum CEA; 71.0%, 83.3% and 0.80 for NSE and 87.1%, 80.56%, 0.89 for MMP-9, respectively. The serum CEA, NSE and MMP-9 were generally elevated in patients with non-small cell lung cancer and could be used as potential bio-markers for non-small cell lung cancer diagnosis.

Indexed as

biomarkerdiagnosisNon-small cell lung cancersensitivityspecificity

Identifiers

PMID28352768
PMCPMC5329799

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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.