A new validated screening method for endometriosis diagnosis based on patient questionnaires. (February 2022)
- Record Type:
- Journal Article
- Title:
- A new validated screening method for endometriosis diagnosis based on patient questionnaires. (February 2022)
- Main Title:
- A new validated screening method for endometriosis diagnosis based on patient questionnaires
- Authors:
- Chapron, Charles
Lafay-Pillet, Marie-Christine
Santulli, Pietro
Bourdon, Mathilde
Maignien, Chloé
Gaudet-Chardonnet, Antoine
Maitrot-Mantelet, Lorraine
Borghese, Bruno
Marcellin, Louis - Abstract:
- Summary: Background: The time between symptoms onset and endometriosis diagnosis is usually long. The negative impacts of delayed endometriosis diagnosis can affect patients and health outcomes. Methods: We conducted a case-control study using clinical symptoms and epidemiological data extracted from a prospective pre-operative patient questionnaire compared between patients with histologically proven endometriosis and patients with no endometriosis at surgical exploration from 2005 to 2018, in a French referral center. We used the beta coefficients of the significant variables introduced in a multiple regression model to devise a score (score 1), evaluated by the area under the curve (or C-index), with three levels, defined by a score between 1 and ≥ 25: (i) highly specific, identifying correctly the patients without the disease; (ii) highly sensitive, identifying the patients with the disease; and (iii) a level maximizing sensitivity and specificity for the best classification of the whole population. To minimize patient self-evaluation of pain, we devised a second score (score 2) with the same method and levels and scores definition, excluding visual analog scale pain scores, except for dysmenorrhea. These scores were validated on an internal and external population. Findings: Score 1 had a C-index of 0.81 (95% CI [0.79–0.83]). Results for the three score 1 levels were: ≥ 25: specificity of 91% (95% CI [89–93]); < 11: sensitivity of 91% (95% CI [89–93]); ≥ 18: specificitySummary: Background: The time between symptoms onset and endometriosis diagnosis is usually long. The negative impacts of delayed endometriosis diagnosis can affect patients and health outcomes. Methods: We conducted a case-control study using clinical symptoms and epidemiological data extracted from a prospective pre-operative patient questionnaire compared between patients with histologically proven endometriosis and patients with no endometriosis at surgical exploration from 2005 to 2018, in a French referral center. We used the beta coefficients of the significant variables introduced in a multiple regression model to devise a score (score 1), evaluated by the area under the curve (or C-index), with three levels, defined by a score between 1 and ≥ 25: (i) highly specific, identifying correctly the patients without the disease; (ii) highly sensitive, identifying the patients with the disease; and (iii) a level maximizing sensitivity and specificity for the best classification of the whole population. To minimize patient self-evaluation of pain, we devised a second score (score 2) with the same method and levels and scores definition, excluding visual analog scale pain scores, except for dysmenorrhea. These scores were validated on an internal and external population. Findings: Score 1 had a C-index of 0.81 (95% CI [0.79–0.83]). Results for the three score 1 levels were: ≥ 25: specificity of 91% (95% CI [89–93]); < 11: sensitivity of 91% (95% CI [89–93]); ≥ 18: specificity of 75% (95% CI [72–78]) and sensitivity of 73% (95% CI [70–76]). Score 2 had a C-index of 0.75 (95% CI [73–77]). The three levels of score 2 were: ≥ 24: specificity of 82% (95% CI [80–85]); < 7: sensitivity of 92% (95% CI [90–94]); ≥ 17: specificity of 62% (95% CI [58–65]) and sensitivity of 78% (95% CI [75–81]). The two scores were internally and externally validated. Interpretation: A score based only on a patient questionnaire could allow identification of a population at high risk of endometriosis. This strategy might help referral to specialized radiologists for a non-surgical endometriosis scan. Funding: None. … (more)
- Is Part Of:
- EClinicalMedicine. Volume 44(2022)
- Journal:
- EClinicalMedicine
- Issue:
- Volume 44(2022)
- Issue Display:
- Volume 44, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 44
- Issue:
- 2022
- Issue Sort Value:
- 2022-0044-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- Endometriosis -- Clinical diagnosis -- Questionnaire -- Lmaging work-up -- New paradigm -- Clinical score -- Multivariate regression analysis -- External validation
Medicine -- Research -- Periodicals
Medical policy -- Periodicals
Clinical Medicine
Health Policy
Public Health
Medical policy
Medicine -- Research
Periodical
Electronic journals
Periodicals
613 - Journal URLs:
- https://www.sciencedirect.com/science/journal/25895370 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.eclinm.2021.101263 ↗
- Languages:
- English
- ISSNs:
- 2589-5370
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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