Evidence map›Paper›PMID 24101190›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Prognostic and clinicopathological significance of survivin expression in bladder cancer patients: a meta-analysis.

Shunzeng Lv, Ekaterina Turlova, Shigang Zhao, Huihui Kang, Mingzhi Han, Hong-Shuo Sun

RetractedAbstract readMeta-AnalysisRetracted Publication
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Expression of N-Myc Downstream-Regulated Gene 2 in Bladder Cancer and Its Potential Utility as a Urinary Diagnostic Biomarker.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  5. Article
  6. CXCL5 is a potential diagnostic and prognostic marker for bladder cancer patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  7. miR-9 promotes cell proliferation and inhibits apoptosis by targeting LASS2 in bladder cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  8. Article
  9. Article
  10. Increased miR-141 expression is associated with diagnosis and favorable prognosis of patients with bladder cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  11. Article
  12. Expression of survivin mRNA in gallbladder cancer: a diagnostic and prognostic marker?Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Shunzeng LvDepartment of Surgery, University of Toronto, Toronto, ON, Canada.
Ekaterina Turlova
Shigang Zhao
Huihui Kang
Mingzhi Han
Hong-Shuo Sun
University of Toronto · CAShandong University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Survivin has been widely reported to play a role in diagnosis and prognosis of bladder cancer patients. However, published data on this subject are heterogeneous. Here, we conducted a meta-analysis to obtain a complete evaluation of the association between survivin and recurrence-free survival (RFS), disease-specific survival (DSS), overall survival (OS), and odds ratio (OR) in bladder cancer patients. Published studies on this subject were selected for further assessment by online articles in PubMed, MEDLINE, EMBASE, and OVID databases. Pooled hazard ratios (HR) with 95 % confidence interval (95 % CI) were estimated. Funnel plots were used to evaluate the publication bias. As well, heterogeneity and sensitivity were analyzed. In this meta-analysis, we included 13 studies with the total number of 1,963 patients. Positive survivin expression in bladder cancer was associated with a poor RFS (HR, 1.831; 95 % CI, 1.344-2.49), DSS (HR, 1.721; 95 % CI, 1.477-2.004), or OS (HR, 1.753; 95 % CI, 1.092-2.816) in patients. In addition, a significant association between expression of survivin and age (OR, 0.641; 95 % CI, 0.416-0.987) as well as stage (OR, 0.37; 95 % CI, 0.190-0.750) was revealed. Heterogeneity was observed among the included studies with RFS (x (2) =29.58, p = 0.009, I (2) = 52.7 %), OS (x (2) = 15.67, p = 0.008, I (2) = 68.1 %), and stage (x (2) = 11.97, p = 0.035, I (2) = 58.2 %). There was no publication bias according to Begg's and Egger's tests except for studies with gender. Furthermore, sensitivity analysis obtained the source of heterogeneity and confirmed opposite results of some studies. This study suggests that expression of survivin indicates poor prognosis in older patients and muscle invasive or advanced stage in bladder cancer. Survivin expression could be used in identifying a subgroup of patients with potential to benefit from a targeted therapy against survivin.

Indexed as

Gene Expression Regulation, NeoplasticPrognosisAgedBiomarkers, TumorDisease-Free SurvivalFemaleHumansInhibitor of Apoptosis ProteinsMaleMiddle AgedSurvivinUrinary Bladder NeoplasmsBiomarkers, TumorBIRC5 protein, humanInhibitor of Apoptosis ProteinsSurvivin

Identifiers

PMID24101190
OpenAlexW2033406969

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.