Development and validation of a clinical prediction model for endocervical curettage decision-making in cervical lesions
| Autor: | Haixia Luo, Xiu Zhang, Yueyang Zhao, Dongyan Li, Wei Wang, Jingjing Chang, Yuanxing Li, Jing Li |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Cancer Research medicine.medical_specialty Biopsy Decision Making Preoperative factors Uterine Cervical Neoplasms Endocervical curettage Logistic regression Nomogram Curettage 03 medical and health sciences 0302 clinical medicine Genetics medicine Humans Cervix RC254-282 Retrospective Studies Cervical cancer Colposcopy 030219 obstetrics & reproductive medicine Receiver operating characteristic medicine.diagnostic_test business.industry Research Neoplasms. Tumors. Oncology. Including cancer and carcinogens Middle Aged medicine.disease Prognosis Confidence interval medicine.anatomical_structure Oncology 030220 oncology & carcinogenesis Female Radiology business Decision-making |
| Zdroj: | BMC Cancer BMC Cancer, Vol 21, Iss 1, Pp 1-11 (2021) |
| ISSN: | 1471-2407 |
| Popis: | Background In the absence of practical and reliable predictors for whether the endocervical curettage (ECC) procedure should be performed, decisions regarding patient selection are usually based on the colposcopists’ clinical judgment instead of evidence. We aimed to develop and validate a practical prediction model that uses available information to reliably estimate the need to perform ECC in patients suspected of having cervical lesions. Methods In this retrospective study, 2088 patients who underwent colposcopy, colposcopically directed biopsy (CDB) and ECC procedures between September 2019 and September 2020 at the Second Hospital of Shanxi Medical University were included. The data were analyzed with univariate and multivariable logistic regression. Least absolute shrinkage and selection operator (LASSO) was used to select predictors for ECC positivity. The ECC prediction model was presented as a nomogram and evaluated in terms of discrimination and calibration. Furthermore, this model was validated internally with cross-validation and bootstrapping. Results Significant trends were found for ECC positivity with increasing age (P = 0.001), menopause (P = 0.003), Human papillomavirus (HPV) status (P P P = 0.037) and colposcopy impression (P Conclusions A readily applicable clinical prediction model was constructed to reliably estimate the probability of ECC positivity in patients suspicious of having cervical lesions, which may help clinicians make decisions regarding the ECC procedure and possibly prevent adverse effects. |
| Databáze: | OpenAIRE |
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