Evidence map›Paper›PMID 25807305›Full record

SynthesisMedical science monitor : international medical journal of experimental and clinical research2015

The prognostic role of Ki-67/MIB-1 in cervical cancer: a systematic review with meta-analysis.

Denghua Pan, Kanglai Wei, Yanxin Ling, Shitao Su, Meilin Zhu, Gang Chen

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 6 pooled it
2.8field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 6 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Biological tumor markers associated with local control after primary radiotherapy in laryngeal cancer: A systematic review.Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2020
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  5. Decoy Receptor 3 (DcR3) as a Biomarker of Tumor Deterioration in Female Reproductive Cancers: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Pooled it
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  7. Review
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  13. Effects of anesthetics on development of gynecological cancer.Frontiers in cell and developmental biology · 2025
    Review
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  15. Article
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  17. A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Review
  18. Article
  19. Article
  20. Cervical Carcinoma: Oncobiology and Biomarkers.International journal of molecular sciences · 2021
    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

6 authors at 1 institution in 1 country.

Denghua PanDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China (mainland).
Kanglai WeiDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China (mainland).
Yanxin LingDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China (mainland).
Shitao SuDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China (mainland).
Meilin ZhuDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China (mainland).
Gang ChenDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China (mainland).
First Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA significant relationship has been reported in which Ki-67/MIB-1 expression is correlated with survival in cervical cancer patients. However, the prognostic value of Ki-67/MIB-1 in cervical cancer is still not well understood. MATERIAL AND

methodA meta-analysis was carried out to explore the prognostic value of Ki-67/MIB-1 on overall survival (OS) and/or disease-free survival (DFS) in cervical cancer. The databases of PubMed, ISI Web of Science, EMBASE, Cochrane Central Register of Controlled Trials, ScienceDirect, and Wiley Online Library were used to identify relevant literature.

resultsWe included 18 studies covering 1344 patients in the meta-analysis. The effect of Ki-67/MIB-1 on OS for pooled random effects HR estimate was 1.63 (95% confidence intervals (CI) 1.09-2.45; P<0.05). Subgroup analysis by ethnicity suggested that high expression of Ki-67/MIB-1 had association with Asians (1.84, 95% CI 1.04-3.23), but not with Africans (HR=1.53, 95% CI 0.34-6.86) or Europeans (HR=1.29, 95% CI 0.74-2.23). Furthermore, subgroup analysis of diverse treatments revealed no difference in surgery (HR=1.97, 95% CI 0.78-4.99) and radiation therapy (RT) (HR=1.56, 95% CI 0.93-2.63). The pooled HR for DFS was 1.26 (95% CI 0.58-2.73; P>0.05) and the subgroup analysis indicated Ki-67/MIB1 was associated with DFS (HR=3.67, 95% CI 2.65-5.09) in Asians. In the treatment subgroup analysis, no direct value was found among surgery (HR=1.13, 95% CI 0.10-13.53) and RT (HR=1.26, 95% CI 0.71-2.24).

conclusionsOur meta-analysis concludes that Ki-67/MIB-1 had a prognostic value for OS in cervical cancer patients. To further evaluate the prognostic role of Ki-67/MIB-1 on DFS, studies with larger numbers of patients are needed to validate our findings.

Indexed as

Disease-Free SurvivalFemaleHumansKi-67 AntigenPrognosisPublication BiasUterine Cervical NeoplasmsKi-67 Antigen

Identifiers

PMID25807305
PMCPMC4386420
OpenAlexW2026082117

What OpenQuestion holds

Textmetadata
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.