Evidence map›Paper›PMID 29927090›Full record

SynthesisThoracic cancer2018

P16

Lei Tuo, Sha Sha, Zhang Huayu, Ke Du

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Thoracic cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Hallmarks of the ageing lung: 10 years later.The European respiratory journal · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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.

Lei TuoDepartment of Thoracic and Cardiovascular Surgery, Weifang Yidu Central Hospital Qingzhou, Weifang, China.ORCID 0000-0003-2440-4889
Sha ShaDepartment of Thoracic and Cardiovascular Surgery, Weifang Yidu Central Hospital Qingzhou, Weifang, China.
Zhang HuayuDepartment of Spine and Trauma, Weifang Yidu Central Hospital Qingzhou, Weifang, China.
Ke DuDepartment of Thoracic Surgery, Liaocheng People's Hospital Liaocheng Clinical School of Taishan Medical University, Liaocheng, China.
Yidu Central Hospital of Weifang · CNTaishan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis meta-analysis was conducted to investigate the diagnostic performance of P16

methodsTwo reviewers independently searched the Web of Science, PubMed, Cochrane, Embase, China National Knowledge Infrastructure, and Chinese Biomedical Literature databases. Publications relevant to P16

resultsTwenty-six publications with 1768 lung cancer cases and 1323 controls were included. The pooled sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio were 0.46 (95% confidence interval [CI] 0.43-0.48), 0.90 (95% CI 0.88-0.91), 6.33 (95% CI 3.89-10.30), 0.57 (95% CI 0.50-0.65) and 10.72 (95% CI 6.94-16.56), respectively, for P16

conclusionP16

Indexed as

DNA MethylationBiomarkers, TumorBronchoalveolar Lavage FluidCarcinoma, Non-Small-Cell LungCyclin-Dependent Kinase Inhibitor p16Early Detection of CancerHumansLung NeoplasmsPromoter Regions, GeneticROC CurveSensitivity and SpecificitySputumBiomarkers, TumorCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16Aberrant methylationbronchoalveolar fluidmeta-analysisP16INK4a geneserum

Identifiers

PMID29927090
PMCPMC6068431
OpenAlexW2809275582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.