Evidence map›Paper›PMID 26631037›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

MicroRNA-17 family as novel biomarkers for cancer diagnosis: a meta-analysis based on 19 articles.

Ronghe Gu, Shiqing Huang, Weiguo Huang, Yuming Li, Huijiang Liu, Lijing Yang, Zhonggui Huang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. 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
–field-weighted citation impact
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

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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.

  1. Article
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  3. Genes · 2020
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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.

Ronghe GuDepartment of Orthopedics, The First People's Hospital of Nanning, NO. 89 Qixin Road, Nanning City, Guangxi Province, 530022, China.
Shiqing HuangOncology Department, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise City, Guangxi Province, 533000, China.
Weiguo HuangDepartment of Orthopedics, The First People's Hospital of Nanning, NO. 89 Qixin Road, Nanning City, Guangxi Province, 530022, China.
Yuming LiDepartment of Orthopedics, The First People's Hospital of Nanning, NO. 89 Qixin Road, Nanning City, Guangxi Province, 530022, China.
Huijiang LiuDepartment of Orthopedics, The First People's Hospital of Nanning, NO. 89 Qixin Road, Nanning City, Guangxi Province, 530022, China.
Lijing YangDepartment of Orthopedics, The First People's Hospital of Nanning, NO. 89 Qixin Road, Nanning City, Guangxi Province, 530022, China.
Zhonggui HuangDepartment of Orthopedics, The First People's Hospital of Nanning, NO. 89 Qixin Road, Nanning City, Guangxi Province, 530022, China. ccjian_818@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains as the leading cause of death all over the world due to the lack of efficient diagnostic techniques and therapeutic methods. Many studies have reported the potential diagnostic value of microRNA-17 (miRNA-17, miR-17) family members as biomarkers for cancer detection. However, inconsistent results were revealed from a wide range of studies. As a result of this, a meta-analysis based on 19 studies was conducted to assess the diagnostic performance of miR-17 family for cancer detection. A total of 1772 patients with certain types of cancer and 1320 healthy controls were involved in these studies. The overall diagnostic accuracy was measured by the following: sensitivity, 0.67 (95 % confidence interval (CI) 0.60-0.74); specificity, 0.83 (95 % CI 0.74-0.85); positive likelihood ratio (PLR), 3.9 (95 % CI 2.6-5.9); negative likelihood ratio (NLR), 0.40 (95 % CI 0.34-0.48); and diagnostic odds ratio (DOR), 10 (95 % CI 6-16), respectively. Additionally, the pooled area under the summary receiver operator characteristic (SROC) curve (area under the curve (AUC)) was 0.79 (95 % CI 0.75-0.82), indicating a relatively low accuracy of miR-17 family as biomarkers for cancer detection. Subgroup analysis further showed that miR-17 family had more reliable performance in cancer diagnosis for Asian than that for Caucasian. Moreover, multiple miRNAs containing miR-17, -20a/b, and -93 reflected higher diagnostic accuracy than both miR-106a/b (single miRNA) and the overall miR-17 family assay. Therefore, appropriate combinations of miR-17 family may be used as non-invasive screening biomarkers for cancer, and it is necessary to carry out a large-scale population-based study to further assess the potential diagnostic value of miR-17 family.

Indexed as

Biomarkers, TumorMultigene FamilyCase-Control StudiesHumansMicroRNAsNeoplasmsReproducibility of ResultsROC CurveSensitivity and SpecificityBiomarkers, TumorMicroRNAsMIRN17 microRNA, humanCancerDiagnosisMeta-analysisMicroRNA-17 family

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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.