Evidence map›Paper›PMID 31143091›Full record

ArticleCancer cell international2019

Elevated PD-L1 expression predicts poor survival outcomes in patients with cervical cancer.

Xiaobin Gu, Meilian Dong, Zheyan Liu, Yin Mi, Jing Yang, Zhigang Zhang, Ke Liu, Li Jiang, Yue Zhang, Shiliang Dong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Emerging phagocytosis checkpoints in cancer immunotherapy.Signal transduction and targeted therapy · 2023
    Review
  11. Article
  12. Article
  13. Evaluation of PD-L1 antigen expression using immunohistochemistry technique in medullary thyroid carcinoma samples.International journal of physiology, pathophysiology and pharmacology · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 1 institution in 1 country.

Xiaobin GuDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Meilian DongDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Zheyan LiuDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Yin MiDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Jing YangDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Zhigang ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Ke LiuDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Li JiangDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Yue ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Shiliang DongDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Yonggang ShiDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammed cell death ligand 1 (PD-L1) expression has been shown to associate with poor prognosis in a variety of solid tumors. However, the prognostic value of PD-L1 expression in cervical cancer is still controversial. Therefore, we carried a meta-analysis to investigate the prognostic and clinicopathological impact of PD-L1 in cervical cancer.

methodsA comprehensive literature search in was performed in PubMed, Embase, Web of Science, and Cochrane Library. The correlation between PD-L1 expression and overall survival (OS), progression-free survival (PFS), and clinicopathological features was analyzed by hazard ratios (HR), odds ratios (OR) and corresponding 95% confidence intervals (CI).

resultsSeven studies with 783 patients were included in this meta-analysis. The combined HR and 95% CI of OS was 2.52 (1.09-5.83), p = 0.031. The pooled results for PFS were HR = 2.07, 95% CI = 0.52-8.23, p = 0.302. The results of subgroup analysis showed that PD-L1 was a significant prognostic factor of poor OS in Asian patients (HR = 4.77, 95% CI = 3.02-7.54, p < 0.001) and of poor PFS in Asian patients (HR = 4.78, 95% CI = 1.77-12.91, p = 0.002). However, the pooled results suggested that PD-L1 was not significantly correlated with lymph node metastasis, tumor size, FIGO stage, depth of invasion, lymph-vascular invasion, or age.

conclusionsThe results of this meta-analysis suggest that PD-L1 overexpression is related to poor OS in patients with cervical cancer and poor PFS in Asian patients with cervical cancer. This study also suggests that PD-L1 is a promising prognostic indicator for cervical cancer.

Indexed as

Cervical cancerMeta-analysisPD-L1Prognosis

Identifiers

PMID31143091
PMCPMC6533692
OpenAlexW2944945233

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.