SynthesisJournal of cellular and molecular medicine2025
Diagnostic and Prognostic Accuracy of MiRNAs in Pancreatic Cancer: A Systematic Review and Meta-Analysis.
Synthesis in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Peripheral Blood Leukocyte Ratios as Novel Biomarkers in Brain Glioma: A Comprehensive Systematic Review and Meta-Analysis.Journal of cellular and molecular medicine · 2026Pooled it
- Crosstalk between KRAS and miRNAs in pancreatic cancer: Opportunities for its diagnosis, prognosis and therapeutic intervention (Review).International journal of oncology · 2026Review
- Unravelling the nexus of non-coding RNAs in cancer stemness and therapeutic drug resistance.Frontiers in cell and developmental biology · 2026Review
- Bone-modifying therapy in multiple myeloma: a comprehensive review.Frontiers in oncology · 2026Review
- Serum MicroRNA-196, -200 and -423 Improve Diagnostics and Differentiate Pancreatic Ductal Adenocarcinoma From Chronic Pancreatitis.Physiological research · 2025Article
- Unraveling the therapeutic landscape of miRNAs in pancreatic cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Circulating miRNAs as Non-Invasive Biomarkers in Pancreatic Cancer: A Two-Phase Plasma-Based Study.Journal of clinical medicine · 2025Article
- Serum exosomal hsa-let-7f-5p: A potential diagnostic biomarker for metastatic pancreatic cancer detection.World journal of gastroenterology · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic cancer (PC) remains a significant contributor to global cancer mortality, with limited effective diagnostic and prognostic tools. MicroRNAs (miRNAs) have emerged as promising biomarkers for PC diagnosis and prognosis. A comprehensive literature search was conducted in PubMed, Web of Science, and Scopus. Studies reporting sensitivity, specificity or area under the curve (AUC) for miRNAs in PC diagnosis, as well as hazard ratios (HRs) for survival evaluations, were included. Data extraction and quality assessment followed PRISMA guidelines. Meta-analyses were conducted using appropriate statistical methods. The protocol is registered in PROSPERO. Diagnostic analysis included 290 evaluations, revealing an overall AUC of 0.8226 for PC diagnosis. Subgroup analyses showed varying accuracies, with blood and tissue specimens yielding higher AUC values. Promising miRNAs with AUC values above 0.8 included miR-320, miR-1290, miR-93, miR-25, miR-451, miR-20, miR-21, miR-223 and miR-122. Prognostic analysis encompassed 46 studies, indicating significant associations between miRNA expression and overall survival (OS) and progression-free survival (PFS). The combined HR for studies reporting OS HRs higher than one was 1.7613 (95% CI: 1.5394-2.0152, p < 0.0001; I
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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.