ArticleOncotarget2018
Diagnostic value of the 2011 International Federation for Cervical Pathology and Colposcopy Terminology in predicting cervical lesions.
Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07012356 (Does The Type of Hr-HPV and Multiple HPV Carrier Status Increase The Effectiveness of The Colposcopy in Diagnosing Preinvasive Lesions Using The Swede Score and The 2011 IFCPC Nomenclature?), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Does The Type of Hr-HPV and Multiple HPV Carrier Status Increase The Effectiveness of The Colposcopy in Diagnosing Preinvasive Lesions Using The Swede Score and The 2011 IFCPC Nomenclature?
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Pooled it
- Clinical Utility of Cytological Methylation Assay in Cervical Cancer Screening Across Various Cervical Transformation Zones.International journal of cancer · 2026Article
- Review
- Analysis of factors influencing the missed diagnosis of cervical precancerous lesions by colposcopy.BMC women's health · 2026Article
- Time-lapsed colposcopy image-based segmentation of cervical lesion areas.Scientific reports · 2026Article
- Evaluation of Onco E6 point of care rapid diagnostic test for human papilloma virus in Bahir Dar, Amhara Regional State, Ethiopia.PloS one · 2025Article
- Article
- Development and validation of artificial intelligence-based analysis software to support screening system of cervical intraepithelial neoplasia.Scientific reports · 2024Article
- Pivotal Clinical Study to Evaluate the Efficacy and Safety of Assistive Artificial Intelligence-Based Software for Cervical Cancer Diagnosis.Journal of clinical medicine · 2023Article
- Colposcopy Accuracy and Diagnostic Performance: A Quality Control and Quality Assurance Survey in Italian Tertiary-Level Teaching and Academic Institutions-The Italian Society of Colposcopy and Cervico-Vaginal Pathology (SICPCV).Diagnostics (Basel, Switzerland) · 2023Article
- Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.Cancer medicine · 2023Article
- Artificial intelligence in colposcopic examination: A promising tool to assist junior colposcopists.Frontiers in medicine · 2023Article
- Evaluating the Feasibility of Machine-Learning-Based Predictive Models for Precancerous Cervical Lesions in Patients Referred for Colposcopy.Diagnostics (Basel, Switzerland) · 2022Article
- Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
- Association of Swede Score and 2011 IFCPC Nomenclature in Women with Abnormal Cytology.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022Article
- Improving colposcopic accuracy for cervical precancer detection: a retrospective multicenter study in China.BMC cancer · 2022Observational
- Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening.Healthcare (Basel, Switzerland) · 2022Article
- Visual appearance of the uterine cervix differs on the basis of HPV type status in high-grade squamous intraepithelial lesion: the results of a reliable method.BMC women's health · 2022Article
- Assessing colposcopic accuracy for high-grade squamous intraepithelial lesion detection: a retrospective, cohort study.BMC women's health · 2022Article
- Analysis of the agreement between colposcopic impression and histopathological diagnosis of cervical biopsy in a single tertiary center of Chengdu.Archives of gynecology and obstetrics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the diagnostic accuracy of the 2011 International Federation for Cervical Pathology and Colposcopy (IFCPC) colposcopic terminology.
methodsThe clinicopathological data of 2262 patients who underwent colposcopy from September 2012 to September 2016 were reviewed. The colposcopic findings, colposcopic impression, and cervical histopathology of the patients were analyzed. Correlations between variables were evaluated using cervical histopathology as the gold standard.
resultsColposcopic diagnosis matched biopsy histopathology in 1482 patients (65.5%), and the weighted kappa strength of agreement was 0.480 (P<0.01). Colposcopic diagnoses more often underestimated (22.1%) than overestimated (12.3%) cervical pathology. There was no significant difference between the colposcopic diagnosis and cervical pathology agreement among the various grades of lesions (P=0.282). The sensitivity, specificity for detecting high-grade lesions/carcinoma was 71.6% and 98.0%, respectively. Multivariate analysis showed that major changes were independent factors in predicting high-grade lesion/carcinoma, whereas transformation zone, lesion size, and non-stained were not statistically related to high-grade lesion/carcinoma.
conclusionsThe 2011 IFCPC terminology can improve the diagnostic accuracy for all lesion severities. The categorization of major changes and minor changes is appropriate. However, colposcopic diagnosis remains unsatisfactory. Poor reproducibility of type 2 transformation zone and the significance of leukoplakia require further study.
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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.