Evidence map›Paper›PMID 37753518›Full record

ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2023

Overtreatment in the see-and-treat approach for high-grade squamous cervical cytology.

W Rongthongaram, S Plumworasawat, C Charakorn, A A Lertkhachonsuk, S Satitniramai

Abstract read
In one paragraph

Article in European journal of obstetrics & gynecology and reproductive biology: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The 'see-and-treat' approach in the treatment of preneoplastic cervical lesions.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2026
    Article
  2. Review
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

5 authors.

W RongthongaramDepartment of Obstetrics and Gynaecology, Division of Gynaecologic Oncology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
S PlumworasawatDepartment of Pathology, Division of Anatomical Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
C CharakornDepartment of Obstetrics and Gynaecology, Division of Gynaecologic Oncology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
A A LertkhachonsukDepartment of Obstetrics and Gynaecology, Division of Gynaecologic Oncology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
S SatitniramaiDepartment of Obstetrics and Gynaecology, Division of Gynaecologic Oncology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate overtreatment with the 'see-and-treat' approach in patients with high-grade squamous cervical cytology, and identify the clinical factors associated with overtreatment. Study design: Patients with high-grade squamous intra-epithelial lesion (HSIL) cytology undergoing colposcopy and loop electrosurgical excision procedure (LEEP) in a single visit or the 'see-and-treat' approach from January 2005 to December 2019 were reviewed retrospectively. The overtreatment rate and complications following LEEP were explored. Results: In total, 220 cases were identified. The overtreatment rate was 11.4%, and surgical complications were haemorrhage ( Conclusions: The overtreatment rate with the 'see-and-treat' approach was 11.4%. Independent factors associated with overtreatment were current cervical cytological result of non-HSIL, and low-grade or normal colposcopic diagnosis.

Indexed as

ColposcopyHigh-grade squamous cytologyOvertreatmentSee-and-treat

Identifiers

PMID37753518
PMCPMC10518508

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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.