Evidence map›Paper›PMID 38752263›Full record

SynthesisTechnology in cancer research & treatment

Small Nucleolar RNAs as Diagnostic and Prognostic Biomarkers in Cancer: A Systematic Review and Meta-Analysis.

Liyun Gao, Junfei Fan, Jiayin He, Xiangxin Che, Xin Wang, Chunhua Han

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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.

Liyun GaoLaboratory of Precision Preventive Medicine, School of Basic Medicine, Jiujiang University, Jiujiang, China.ORCID 0000-0003-2361-7081
Junfei FanSchool of Humanities, Shangluo University, Shangluo, China.
Jiayin HeSchool of Literature and Journalism, South-central Minzu University, Wuhan, China.
Xiangxin CheLaboratory of Precision Preventive Medicine, School of Basic Medicine, Jiujiang University, Jiujiang, China.
Xin WangLaboratory of Precision Preventive Medicine, School of Basic Medicine, Jiujiang University, Jiujiang, China.
Chunhua HanInternal Medicine, Jiujiang First People's Hospital, Jiujiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSmall nucleolar RNAs (snoRNAs) form clusters within the genome, representing a mysterious category of small non-coding RNAs. Research has demonstrated that aberrant snoRNAs can contribute to the development of various types of cancers. Recent studies have identified snoRNAs as potentially valuable biomarkers for the diagnosis or/and prognosis of cancers. However, there has been a lack of comprehensive reviews on prognostic and diagnostic snoRNAs across different types of cancers.

methodsWe conducted a systematic search of various databases including Google Scholar, Medline, Cochrane, Scopus, PubMed, Embase, ScienceDirect, Ovid-Medline, Chinese National Knowledge Infrastructure, WanFang, and SinoMed with a time frame reception to December 30, 2022. A total of 49 relevant articles were included in our analysis, consisting of 21 articles focusing on diagnostic aspects and 41 articles focusing on prognostic aspects. Pooled odds ratio, 95% confidence intervals (CIs), and hazard ratio (HR) were utilized to evaluate clinical parameters and overall survival (OS), respectively.

resultThe findings indicated that area under the curve, sensitivity, and specificity were 0.85, 75%, and 80% in cancer, respectively. There was a possibility that snoRNAs had a positive impact on the diagnosis (risk ratio, RR = 2.95, 95% CI: 2.75-3.16,

conclusionThe results strongly suggested that snoRNAs could serve as potential novel indicators for prognosis and diagnosis in cancers. This systematic review followed the guidelines of the Transparent Reporting of Systematic Review and Meta-Analyses (PROSPERO register: CRD42020209096).

Indexed as

Biomarkers, TumorNeoplasmsRNA, Small NucleolarHumansPrognosisROC CurveBiomarkers, TumorRNA, Small Nucleolardiagnosishazard ratioprognosissensitivitysmall nucleolar RNAspecificity

Identifiers

PMID38752263
PMCPMC11102679

What OpenQuestion holds

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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.