Evidence map›Paper›PMID 30344570›Full record

ArticlePakistan journal of medical sciences

The association of serum neuron-specific enolase with other disease markers in chronic obstructive pulmonary disease: A case-control study.

Jie Li, Xinyi Kong, Wei Shu, Wei Zhang

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 82% 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, 3 citations in OpenAlex.

  1. Quantitative PCCT spectral parameters for noninvasive prediction of EGFR status and its subtypes in lung adenocarcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  2. COInternational journal of environmental research and public health · 2024
    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

4 authors at 2 institutions in 1 country.

Jie LiJie Li, MD. Medical School of Nanchang University, Nanchang, China, Department of Internal Medicine, Jiangxi Provincial Chest Hospital.
Xinyi KongXinyi Kong, MSc. Department of Internal Medicine, The Second Affiliated Hospital of Nanchang University, China.
Wei ShuWei Shu, MSc. Department of Internal medicine, Jiangxi Provincial Chest Hospital, Nanchang, China.
Wei ZhangWei Zhang, MD. Department of Respiration, The First Affiliated Hospital of Nanchang University, China.
Jiangxi Chest Hospital · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to investigate the association between serum neuron-specific enolase (sNSE) levels and gender, age, body mass index (BMI) in patients with chronic obstructive pulmonary disease (COPD).

methodsThis case-control study was carried out among 182 participants in Jiangxi Provincial chest hospital, Nanchang, China, in 2017. One hundred and two patients diagnosed with COPD based on the Global Initiative for Chronic Obstructive Lung Disease (GOLD) grading classification and 80 Non-COPD participants were recruited. Multivariate logistic regression analysis was employed to examine whether or not sNSE and other indicators were independently associated with COPD.

resultsSerum NSE levels were not significantly different between the two groups (P=0.08). Whereas in COPD sub-groups, the levels of sNSE increased parallelly in a GOLD stage-dependent manner. There was a positive correlation between PH, P

conclusionsSerum NSE gradually increased with the severity of COPD and its change reflected changes in brain cells. PH, P

Indexed as

AssociationChronic obstructive pulmonary diseaseNeuron-specific enolaseSerum

Identifiers

PMID30344570
PMCPMC6191811
OpenAlexW2893309389

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.