Evidence map›Paper›PMID 28969076›Full record

ArticleOncotarget2017

Systematic review and meta-analysis of the efficacy of serum neuron-specific enolase for early small cell lung cancer screening.

Lang Huang, Jian-Guo Zhou, Wen-Xiu Yao, Xu Tian, Shui-Ping Lv, Ting-You Zhang, Shu-Han Jin, Yu-Ju Bai, Hu Ma

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. SCLC: Epidemiology, Risk Factors, Genetic Susceptibility, Molecular Pathology, Screening, and Early Detection.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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

9 authors at 3 institutions in 1 country.

Lang Huang *Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Jian-Guo Zhou *Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Wen-Xiu Yao *Department of Oncology, Affiliated Cancer Hospital of Medical School, University of Electronic Science and Technology of China, Sichuan Cancer Hospital and Institute & Cancer, The Second People's Hospital of Sichuan Province, Chengdu 610000, China.
Xu TianChongqing Cancer Hospital and Institute, Chongqing 40030, China.
Shui-Ping LvDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Ting-You ZhangDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Shu-Han JinDepartment of Cardiology and Endodontics, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi 563000, China.
Yu-Ju BaiDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Hu MaDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Zunyi Medical University · CNChongqing Cancer Hospital · CNSichuan Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a pooled analysis of the efficacy of serum neuron-specific enolase (NSE) levels for early detection of small cell lung cancer (SCLC) in patients with benign lung diseases and healthy individuals. Comprehensive searches of several databases through September 2016 were conducted. The quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Ultimately, 33 studies containing 9546 samples were included in the review. Pooled sensitivity of NSE for detecting SCLC was 0.688 (95%CI: 0.627-0.743), specificity was 0.921 (95%CI: 0.890-0.944), positive likelihood ratio was 8.744 (95%CI: 6.308-12.121), negative likelihood ratio was 0.339 (95%CI: 0.283- 0.405), diagnostic odds ratio was 25.827 (95%CI: 17.490- 38.136) and area under the curve was 0.88 (95%CI: 0.85- 0.91). Meta-regression indicated that study region was a source of heterogeneity in the sensitivity and joint models, while cut-off level was a source in the joint model. Subgroup analysis showed that enzyme linked immunosorbent assays had the highest sensitivity and radioimmunoassay assays had the highest specificity. The diagnostic performance was better in Europe [sensitivity: 0.740 (95%CI: 0.676-0.795), specificity: 0.932 (95%CI: 0.904-0.953)] than in Asia [sensitivity: 0.590 (95%CI: 0.496- 0.678), specificity: 0.901 (95%CI: 0.819-0.948)]. In Europe, 25 ng/ml is likely the most suitable NSE cut-off level. NSE thus has high diagnostic efficacy when screening for SCLC, though the efficacy differs depending on study region, assay method and cut-off level. In the clinic, NSE measurements should be considered along with clinical symptoms, image results and histopathology.

Indexed as

diagnosis accuracymeta-analysisneuron-specific enolasesmall cell lung cancersystematic review

Identifiers

PMID28969076
PMCPMC5610008
OpenAlexW2613076204

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.