Evidence map›Paper›PMID 39381422›Full record

ArticleOpen medicine (Warsaw, Poland)2024

Significance of negative cervical cytology and positive HPV in the diagnosis of cervical lesions by colposcopy.

Changhong Zhang, Liu Dong, Kejie Liu, Hong Xiao, Hao Si, Xiaoqin Wang, Hui Wang

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Changhong ZhangDepartment of Gynecology, The Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Liu DongDepartment of Gynecology, The Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Kejie LiuDepartment of Gynecology, The Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Hong XiaoDepartment of Gynecology, The Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Hao SiDepartment of Gynecology, The Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Xiaoqin WangDepartment of Gynecology, The Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Hui WangDepartment of Gynecology, The Affiliated Fuyang People's Hospital of Anhui Medical University, No. 63, Luci Street, Yingzhou District, Fuyang, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to investigate the significance of colposcopy in diagnosing cervical lesions when negative cervical cytology is combined with positive human papillomavirus (HPV). Methods: Overall, 370 patients with cervical epithelial lesions who had negative cervical fluid-based cytology combined with positive HPV results were selected and analysed for severity of cervical lesions and HPV distribution. Results: Among the patients with cervical lesions, 242 had a single HPV infection, and 128 cases had multiple infections. No significant difference was found between HPV single infection and multiple infections in both groups of patients with cervical lesions ( Conclusion: High-risk HPV testing is crucial in patients with negative cervical fluid-based cytology combined with positive HPV results. Patients with HPV 16 and 18 and those with simple HPV 52, 58, and 33 infections should undergo timely colposcopy.

Indexed as

cervical intraepithelial neoplasiacytodiagnosishuman papillomavirus infection

Identifiers

PMID39381422
PMCPMC11459370

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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.