Evidence map›Paper›PMID 38504211›Full record

ArticleBMC cancer2024

Assessing colposcopy competencies in medically underserved communities: a multi-center study in China.

Xiaoli Cui, Huike Wang, Mingyang Chen, Samuel Seery, Peng Xue, Youlin Qiao, Yuhong Shang

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Xiaoli CuiDalian Medical University, Dalian, Liaoning, 116044, China.
Huike WangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
Mingyang ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
Samuel SeeryFaculty of Health and Medicine, Division of Health Research, Lancaster University, Lancaster, LA1 4YW, UK.
Peng XueSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
Youlin QiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China. qiaoy@cicams.ac.cn.
Yuhong ShangDepartment of Gynecology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116021, China. shangyuhong@dmu.edu.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChina Medical University · CNFirst Affiliated Hospital of Dalian Medical University · CNLancaster University · GB

Funding

CAMS Innovation Fund for Medical Sciences CAMS 2021-I2M-1-004Liaoning Provincial Department of Science and Technology's "unveiling and commanding" project 2022JH1/10800070
6 · The paper itself

Abstract

backgroundColposcopy plays an essential role in diagnosing cervical lesions and directing biopsy; however, there are few studies of the capabilities of colposcopists in medically underserved communities in China. This study aims to fill this gap by assessing colposcopists' competencies in medically underserved communities of China.

methodsColposcopists in medically underserved communities across China were considered eligible to participate. Assessments involved presenting participants with 20 cases, each consisting of several images and various indications. Participants were asked to determine transformation zone (TZ) type, colposcopic diagnoses and to decide whether biopsy was necessary. Participants are categorized according to the number of colposcopic examinations, i.e., above or below 50 per annum.

resultsThere were 214 participants in this study. TZ determination accuracy was 0.47 (95% CI 0.45,0.49). Accuracy for colposcopic diagnosis was 0.53 (95% CI 0.51,0.55). Decision to perform biopsies was 0.73 accurate (95% CI 0.71,0.74). Participants had 0.61 (95% CI 0.59,0.64) sensitivity and a 0.80 (95% CI 0.79,0.82) specificity for detecting high-grade lesions. Colposcopists who performed more than 50 cases were more accurate than those performed fewer across all indicators, with a higher sensitivity (0.66 vs. 0.57, p = 0.001) for detecting high-grade lesions.

conclusionsIn medically underserved communities of China, colposcopists appear to perform poorly at TZ identification, colposcopic diagnosis, and when deciding to biopsy. Colposcopists who undertake more than 50 colposcopies each year performed better than those who perform fewer. Therefore, colposcopic practice does improve through case exposure although there is an urgent need for further pre-professional and clinical training.

Indexed as

ColposcopyUterine Cervical NeoplasmsBiopsyChinaFemaleHumansMedically Underserved AreaPregnancyColposcopyCompetenceHealth workforceUnderserved communities

Identifiers

PMID38504211
PMCPMC10949713
OpenAlexW4392960767

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.