Evidence map›Paper›PMID 33886084›Full record

SynthesisMolecular diagnosis & therapy2021

The Diagnostic Accuracy of miR-371a-3p for Testicular Germ Cell Tumors: A Systematic Review and Meta-Analysis.

Qiangzhao Liu, Qiong Lian, Haidi Lv, Xiaofeng Zhang, Fenghai Zhou

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Molecular diagnosis & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. The utility of cfDNA in TGCT patient management: a systematic review.Therapeutic advances in medical oncology · 2022
    Review
  9. Article
  10. Article
  11. Improving outcomes in germ cell cancers using miRNA.Therapeutic advances in medical oncology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Qiangzhao Liu *Department of Urology, Gansu Provincial Hospital, Chengguan District, 204 Donggangxi Road, Lanzhou, 730000, Gansu, People's Republic of China. 758640930@qq.com.ORCID 0000-0002-7618-0349
Qiong Lian *Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Haidi Lv *Department of Urology, Gansu Provincial Hospital, Chengguan District, 204 Donggangxi Road, Lanzhou, 730000, Gansu, People's Republic of China.
Xiaofeng ZhangDepartment of Urology, Gansu Provincial Hospital, Chengguan District, 204 Donggangxi Road, Lanzhou, 730000, Gansu, People's Republic of China.
Fenghai ZhouDepartment of Urology, Gansu Provincial Hospital, Chengguan District, 204 Donggangxi Road, Lanzhou, 730000, Gansu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study sought to assess the utility of miR-371a-3p levels as a tool for diagnosing testicular germ cell tumors.

methodsFor this systematic review and meta-analysis we reviewed available published studies assessing the accuracy of miR-371a-3p as a tool for diagnosing testicular germ cell tumors. STATA 16.0 was used to calculate pooled sensitivity, specificity, negative likelihood ratio (NLR), positive likelihood ratio (PLR), and area under the curve (AUC) values.

resultsIn total, six studies incorporating 1835 individuals were included in this analysis. Pooled results suggested that miR-371a-3p was able to differentiate between testicular germ cell tumors and non-testicular germ cell tumors or healthy individuals with a sensitivity of 0.90 [95% confidence interval (CI) 0.88-0.92], a specificity of 0.93 (95% CI 0.87-0.96), a PLR of 12.2 (95% CI 6.90-18.24), an NLR of 0.11 (95% CI 0.09-0.14) a diagnostic odds ratio (DOR) of 121.56 (95% CI 64.84-227.89), and an AUC of 0.94.

conclusionsMiR-371a-3p represents a viable biomarker associated with testicular germ cell tumors.

Indexed as

Area Under CurveBiomarkers, TumorCase-Control StudiesEarly Detection of CancerHumansMaleMicroRNAsNeoplasms, Germ Cell and EmbryonalTesticular NeoplasmsBiomarkers, TumorMicroRNAsMIRN371 microRNA, human

Identifiers

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.