ArticleObstetrics & gynecology science2022
Predictive value of 'Smartscopy' for the detection of preinvasive cervical lesions during the COVID-19 pandemic: a diagnostic study.
Article in Obstetrics & gynecology science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 2 citations in OpenAlex.
- A pilot study of upcycled smartphone-based colposcopy for visual inspection of cervix performed by community healthcare workers in rural Vietnam.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Article
- Diagnostic accuracy of hand-held colposcope (Gynocular) in comparison with standard colposcope in patients with abnormal cervical cytology or visual inspection with acetic acid positivity: a cross over randomized controlled study.Obstetrics & gynecology science · 2023Article
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
Abstract
objectiveTo evaluate the performance of "Smartscopy" in diagnosing preinvasive cervical lesions among patients with abnormal cervical cancer screening results obtained during the coronavirus disease 2019 (COVID-19) pandemic.
methodsThis diagnostic study enrolled non-pregnant women with abnormal cervical cancer screening results obtained at the colposcopy clinic at Srinagarind Hospital (Khon Kaen, Thailand) between September 2020 and March 2021. Two colposcopists independently evaluated the uterine cervix using a smartphone and colposcopy. Cervical biopsies and endocervical curettage were performed in accordance with standard procedures. The diagnostic performance of a smartphone in detecting low-grade squamous intraepithelial lesions or worse plus (LSIL+) and high-grade squamous intraepithelial lesions plus (HSIL+) was assessed.
resultsIn total, 247 patients were included. There was high agreement between the two colposcopists (κ=0.88; 95% confidence interval [CI], 0.82-0.93). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the smartphone to detect LSIL+ were 96.6% (95% CI, 91.6-99.1), 12.9% (95% CI, 8.06-19.2), 46.2% (95% CI, 39.7-52.4), 83.3% (95% CI, 62.6-95.3), and 0.49% (95% CI, 0.43-0.55), respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of smartscopy in diagnosing HSIL+ were 67.6% (95% CI, 55.2- 78.5), 85.4% (95% CI, 79.9-90.0), 60.5% (95% CI, 48.6-71.6), 88.9% (95% CI, 83.7-92.9), and 81.0% (95% CI, 0.75-0.85), respectively.
conclusionSmartscopy demonstrated a remarkable correlation with colposcopy and a high diagnostic performance value for the detection of preinvasive cervical lesions. Therefore, smartscopy may be an alternative tool for detecting abnormal cervical lesions in low to medium medical resource settings. Smartscopy may be applied in telemedicine during the COVID-19 pandemic.
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.