Observational studyBMC cancer2022
Improving colposcopic accuracy for cervical precancer detection: a retrospective multicenter study in China.
Observational study in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Pooled it
- HPV positivity despite cytological negativity: Risk assessment with colposcopic and histopathological findings.Pakistan journal of medical sciences · 2026Article
- Review
- Trends in over- and under-screening for cervical cancer after EMR implementation in rural China.NPJ digital medicine · 2026Article
- High-Risk Clinical Characteristics and Risk Model for Unexpected Cervical Cancer Diagnosed After Surgery in Patients with LSIL/HSIL Biopsy.International journal of women's health · 2026Article
- Role of endocervical curettage in detecting CIN2 + in postmenopausal women with persistent high-risk HPV and type 3 transformation zone.BMC cancer · 2025Observational
- AI-Based Identification Method for Cervical Transformation Zone Within Digital Colposcopy: Development and Multicenter Validation Study.JMIR cancer · 2025Article
- Risk factors of human papillomavirus-related cervical lesions in postmenopausal women: a cross-sectional study.BMC women's health · 2025Article
- Supporting the global reduction of cervical cancer: challenges in colposcopy practice and training.Frontiers in oncology · 2025Review
- Immediate risk of cervical intraepithelial neoplasia and diagnostic value of colposcopy among cytology-negative women with oncogenic HPV: a retrospective study.BMC women's health · 2024Article
- Article
- Assessing colposcopy competencies in medically underserved communities: a multi-center study in China.BMC cancer · 2024Article
- Development of a clinical prediction model for pathological upgrading in low-grade squamous intraepithelial lesions following cervical conization.CytoJournal · 2024Article
- A segmentation model to detect cevical lesions based on machine learning of colposcopic images.Heliyon · 2023Article
- Detection of High-Grade Cervical Intraepithelial Neoplasia by Electrical Impedance Spectroscopy in Women Diagnosed with Low-Grade Cervical Intraepithelial Neoplasia in Cytology.Life (Basel, Switzerland) · 2023Article
- Detection of cervical high-grade squamous intraepithelial lesions and assessing diagnostic performance of colposcopy among women with oncogenic HPV.BMC women's health · 2023Article
- Evaluating the Feasibility of Machine-Learning-Based Predictive Models for Precancerous Cervical Lesions in Patients Referred for Colposcopy.Diagnostics (Basel, Switzerland) · 2022Article
- Development and validation of a predictive model for endocervical curettage in patients referred for colposcopy: A multicenter retrospective diagnostic study in China.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022Article
- Evaluation of the diagnostic performance of colposcopy in the diagnosis of histologic cervical intraepithelial neoplasia 2+ (CIN2+).BMC cancer · 2022Article
- Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColposcopy alone can result in misidentification of high-grade squamous intraepithelial or worse lesions (HSIL +), especially for women with Type 3 transformation zone (TZ) lesions, where colposcopic assessment is particularly imprecise. This study aimed to improve HSIL + case identification by supplementing referral screening results to colposcopic findings.
methodsThis is an observational multicenter study of 2,417 women, referred to colposcopy after receiving cervical cancer screening results. Logistic regression analysis was conducted under uni- and multivariate models to identify factors which could be used to improve HSIL + case identification. Histological diagnosis was established as the gold standard and is used to assess accuracy, sensitivity, and specificity, as well as to incrementally improve colposcopy.
resultsMultivariate analysis highlighted age, TZ types, referral screening, and colposcopists' skills as independent factors. Across this sample population, diagnostic accuracies for detecting HSIL + increased from 72.9% (95%CI 71.1-74.7%) for colposcopy alone to 82.1% (95%CI 80.6-83.6%) after supplementing colposcopy with screening results. A significant increase in colposcopic accuracy was observed across all subgroups. Although, the highest increase was observed in women with a TZ3 lesion, and for those diagnosed by junior colposcopists.
conclusionIt appears possible to supplement colposcopic examinations with screening results to improve HSIL + detection, especially for women with TZ3 lesions. It may also be possible to improve junior colposcopists' diagnoses although, further psychological research is necessary. We need to understand how levels of uncertainty influence diagnostic decisions and what the concept of "experience" actually is and what it means for colposcopic practice.
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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.