Evidence map›Paper›PMID 26629032›Full record

ArticleInternational journal of clinical and experimental medicine2015

Diagnostic value of urinary microRNAs as non-invasive biomarkers for bladder cancer: a meta-analysis.

Mingxia Ding, Yi Li, Haifeng Wang, Yongchang Lv, Jianwei Liang, Jiansong Wang, Chong Li

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Comprehensive investigation of aberrant microRNA profiling in bladder cancer tissues.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

7 authors at 2 institutions in 1 country.

Mingxia DingDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University Kunming 650101, China.
Yi LiDepartment of Anesthesiology, Peking University Third Hospital Beijing 100083, China.
Haifeng WangDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University Kunming 650101, China.
Yongchang LvDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University Kunming 650101, China.
Jianwei LiangDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University Kunming 650101, China.
Jiansong WangDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University Kunming 650101, China.
Chong LiDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University Kunming 650101, China ; CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences Beijing 100101, China.
Kunming Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BC) is the fifth most common malignancy worldwide. The expression levels of microRNAs (miRNAs) in urine samples of BC patients have been demonstrated to be different from healthy people. Several studies focusing on the diagnostic value of urinary miRNAs for BC detection have been reported. The aim of this meta-analysis was to access the overall diagnostic accuracy comprehensively and quantitatively.

methodsPubMed, Embase, Web of Science, the Cochrane Library, and CNKI were searched without language restrictions for studies about the diagnostic value of miRNAs for BC. The pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR, respectively), diagnostic odds ratio (DOR) were calculated using the random effects model. The summary receiver operating characteristic (SROC) curve was also generated and the area under the curve (AUC) was also reckoned to assess the diagnosis accuracy. Besides, Chi-square test and I(2) test were used to assess the heterogeneity between studies. Publication bias was evaluated by the Deeks' funnel plot asymmetry test.

resultsFourteen studies were included in this meta-analysis, with a total of 1,128 BC patients and 1,057 matched controls. The overall sensitivity, specificity, PLR, NLR and DOR of urinary miRNAs for the diagnosis of BC were 0.71 (95% CI: 0.67-0.75), 0.75 (95% CI: 0.70-0.79), 2.8 (95% CI: 2.3-3.4), 0.39 (95% CI: 0.33-0.46) and 7 (95% CI: 5-10), respectively. The area under the SROC curve was 0.79. Subgroup analyses suggested that the ethnicity and miRNA profiling had an obvious influence on the diagnostic accuracy.

conclusionThe current analysis suggested that urinary miRNA panels may be a promising noninvasive biomarker in the diagnosis of BC.

Indexed as

bladder cancerdiagnostic valuemeta-analysismicroRNAsUrinary

Identifiers

PMID26629032
PMCPMC4658921
OpenAlexW2195161256

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Registered trials

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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.