SynthesisGenetic testing and molecular biomarkers2013
Diagnostic value of circulating microRNAs for lung cancer: a meta-analysis.
Synthesis in Genetic testing and molecular biomarkers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 5 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Diagnostic performance of PAX1 methylation as a biomarker for cervical lesions: a clinical study and meta-analysis.Annals of medicine · 2025Pooled it
- Pooled it
- Long noncoding RNAs as auxiliary biomarkers for gastric cancer screening: A pooled analysis of individual studies.Oncotarget · 2016Pooled it
- Diagnostic value of circulating microRNAs as biomarkers for breast cancer: a meta-analysis study.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Pooled it
- MicroRNAs as ideal biomarkers for the diagnosis of lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- Review
- PAX1 and SOX1 methylation as an initial screening method for cervical cancer: a meta-analysis of individual studies in Asians.Annals of translational medicine · 2016Article
- Epigenetics of lung cancer.Translational research : the journal of laboratory and clinical medicine · 2015Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer is a leading cause of cancer mortality, and it shows a high incidence worldwide. Circulating microRNAs have been proposed as diagnostic indicators of lung cancer, but inconsistent results in the literature have prevented their widespread use in diagnosis. The present meta-analysis aimed to systematically evaluate the diagnostic accuracy of circulating microRNAs for lung cancer.
methodsSeveral research databases were searched systematically for studies of the accuracy of circulating microRNAs as diagnostic indicators of lung cancer. Results from different studies were pooled using random-effects models. Summary receiver operating characteristic (SROC) curves were used to assess the overall performance of microRNA-based assays.
resultsThirteen publications were included in the meta-analysis. The following summary estimates were obtained for the performance of circulating microRNAs in lung cancer diagnosis: sensitivity, 0.85 (95% confidence intervals [CI]: 0.83-0.87); specificity, 0.84 (95% CI: 0.81-0.86); positive likelihood ratio, 5.23 (95% CI: 3.75-7.29); negative likelihood ratio, 0.20 (95% CI: 0.14-0.27); and diagnostic odds ratio, 31.77 (95% CI: 16.98-59.42). The SROC curve indicated a maximum joint sensitivity and specificity of 0.85, with an area under the curve of 0.92.
conclusionCirculating microRNAs show significant potential as diagnostic markers of lung cancer. The results of this meta-analysis justify larger, more rigorous studies to confirm such a diagnostic role.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.