ReviewArchives of academic emergency medicine2022
Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis.
Review in Archives of academic emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Accuracy of magnetic resonance imaging for acute appendicitis in pregnant women: an updated diagnostic systematic review and meta-analysis.Abdominal radiology (New York) · 2026Pooled it
- Impact of data augmentation and backbone architecture selection on dental caries segmentation in panoramic radiographs: a comparative deep learning study using pre-trained U-Net models.The Saudi dental journal · 2026Article
- Smart Logistics Model for Supply Chain Management via Brain-Inspired Geometric Deep Networks.Biomimetics (Basel, Switzerland) · 2026Article
- The evolving role of MRI in abdominopelvic emergencies: from problem-solving to first-line imaging.Abdominal radiology (New York) · 2026Review
- Hybrid Neural Network Architecture for Automated Liver and Tumor Segmentation Using Ensemble Learning on CT Images.Biomimetics (Basel, Switzerland) · 2026Article
- Deep Learning-Based Automatic Segmentation of Ischemic Stroke Lesions in CT Perfusion Imaging.Biomimetics (Basel, Switzerland) · 2026Article
- Enhancing corporate bankruptcy prediction and customer relationship sustainability through CNN-based financial feature transformation.Scientific reports · 2026Article
- The adaptive engagement framework: enhancing banking customer experience through AI-powered invisible marketing.Scientific reports · 2026Article
- Three-dimensional reconstruction of lung tumors from computed tomography scans using adversarial and transductive learning.Scientific reports · 2025Article
- Lessons Learned from Liver-on-Chip Platform.Annals of biomedical engineering · 2025Review
- Role of Nuclear Receptors on the Progression of Multiple Sclerosis: A Review.Cellular and molecular neurobiology · 2025Review
- Modern therapeutic approaches for hepatic tumors: progress, limitations, and future directions.Discover oncology · 2025Review
- Mesenchymal stem cells and their exosomes: a novel approach to skin regeneration via signaling pathways activation.Journal of molecular histology · 2025Review
- Current Research in Drug-Free Cancer Therapies.Bioengineering (Basel, Switzerland) · 2025Review
- Mesenchymal stromal cells in bone marrow niche of patients with multiple myeloma: a double-edged sword.Cancer cell international · 2025Review
- Review
- Pregnant patients requiring emergency general surgery: a scoping review of diagnostic and management strategies.Canadian journal of surgery. Journal canadien de chirurgieArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors at 13 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The diagnosis of acute appendicitis (AA) in pregnant women is commonly challenging owing to the normal results of laboratory tests, organ displacement, and normal physiological inflammatory alterations. This meta-analysis aimed to investigate the accuracy of magnetic resonance imaging (MRI) in diagnosis of AA in pregnant women. Methods: Two investigators independently performed a comprehensive systematic literature search of electronic databases including MEDLINE, Cochrane Central, EMBASE, Web of Science, Scopus, and Google Scholar to identify studies that reported accuracy of MRI for diagnosis of AA in pregnant women from inception to April 1, 2022. Results: Our systematic search identified a total of 525 published papers. Finally, a total of 26 papers were included in the meta-analysis. The pooled sensitivity and specificity of MRI in diagnosis of AA in pregnant women were 0.92 (95% CI: 0.88-0.95) and 0.98 (95% CI 0.97-0.98), respectively. The pooled positive likelihood ratio and negative likelihood ratio were 29.52 (95% CI: 21.90-39.81) and 0.10 (95% CI: 0.04-0.25), respectively. The area under hierarchical summary receiver operating characteristic (HSROC) curve indicated that the accuracy of MRI for diagnosis of AA in pregnant women is 99%. Conclusion: This meta-analysis showed that MRI has high sensitivity, specificity, and accuracy for diagnosis of AA in pregnant women and can be used as a first-line imaging modality for suspected cases of AA during pregnancy. Furthermore, it should be noted that when the result of ultrasonography is inconclusive, the use of MRI can reduce unnecessary appendectomy in pregnant patients.
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.