Evidence map›Paper›PMID 40489843›Full record

ArticleMedicine2025

Development of a nomogram for predicting positive margins after cold knife conization in patients with high-grade squamous intraepithelial lesions.

Shuhua Wang, Zhaopeng Ma, Jing Dong, Na Zhang, Xuemei Zhang, Heying Li, Li Chen

Abstract read
In one paragraph

Article in Medicine, 2025. 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. Article
  2. Article
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.

Shuhua WangDepartment of Gynecology, Baoding First Central Hospital, Baoding, Hebei, China.
Zhaopeng MaDepartment of Endocrinology, Baoding First Central Hospital, Baoding, Hebei, China.
Jing DongDepartment of Gynecology, Baoding First Central Hospital, Baoding, Hebei, China.
Na ZhangDepartment of Gynecology, Baoding First Central Hospital, Baoding, Hebei, China.
Xuemei ZhangDepartment of Gynecology, Baoding First Central Hospital, Baoding, Hebei, China.
Heying LiDepartment of Gynecology, Baoding First Central Hospital, Baoding, Hebei, China.
Li ChenDepartment of Gynecology, Baoding First Central Hospital, Baoding, Hebei, China.ORCID 0009-0007-3674-0907

Funding

Baoding Science and Technology Plan Project 2241ZF044
6 · The paper itself

Abstract

The objective was to develop a nomogram for predicting positive margins after cold knife conization (CKC) in patients with high-grade squamous intraepithelial lesion (HSIL). This retrospective study included patients who underwent CKC at Baoding No. 1 Central Hospital between December 2013 and March 2024. Patients were divided into training (between December 2013 and December 2022) and validation (between January 2023 and March 2024) sets. The least absolute shrinkage and selection operator regression was applied to filter and select relevant variables. Multivariable logistic regression was used for nomogram construction. The model performance was evaluated using various methods, including receiver operating characteristics, decision curve analysis, and calibration analysis. The training and validation sets included 985 and 227 patients, respectively. Age (OR = 1.046, 95% CI: 1.028-1.064, P < .001), cervical intraepithelial neoplasia quadrants by punch biopsy (OR = 1.561, 95% CI: 1.348-1.808, P < .001), HSIL type (OR = 1.711, 95% CI: 1.102-2.657, P = .017), and gland involvement (OR = 1.552, 95% CI: 1.073-2.247, P = .020) were associated with positive margins and used for nomogram construction. The predictive model yielded area under the curves of 0.744 and 0.754 in the training and validation sets, respectively. Decision curve analysis indicated a net benefit when using the nomogram, and the calibration curves demonstrated a good fit. This study constructed a nomogram model for predicting positive margins after CKC in patients with HSIL. This nomogram may enable early and accurate patient evaluation, potentially improving clinical outcomes.

Indexed as

ConizationMargins of ExcisionNomogramsSquamous Intraepithelial LesionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultFemaleHumansMiddle AgedRetrospective StudiesROC Curvecervical intraepithelial neoplasianeolpasm residualnomogramspredictive value of testssurgical marginsuterine cervical conization

Identifiers

PMID40489843
PMCPMC12150994

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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.