A prospective, open-label, single-arm study to evaluate the efficacy of dydrogesterone in the treatment of endometrial polyps

Figures & data

Figure 1. The work flow for the study.

Table 1. Changes in signs on transvaginal ultrasonography at follow-up.

Characteristics	Baseline	Follow-up	Changes	p Value
Endometrial thickness (Mean ± SD) cm	1.17 ± 0.33	0.90 ± 0.35	−0.27 ± 0.41	<.001
Polyp size (Mean ± SD) cm	1.10 ± 0.34	0.74 ± 0.65	−0.36 ± 0.58	.001

Abbreviations: SD: Standard Deviation.

Table 2. Comparison of patient characteristics between groups.

Characteristics	Effective treatment group (n = 31)	Ineffective treatment group (n = 29)	p Value
Age, years	32.00 (28.00–39.00)	39.00 (35.00–42.50)	.007*
Gravidity			.091
No	10	4
Yes	21	25
Parity			.029*
No	16	7
Yes	15	22
Number of polyps			.853
1	18	16
>1	7	7
Polyp size, cm	1.00 (0.70–1.20)	1.30 (0.90–1.50)	.019*
Endometrial thickness, cm	1.10 (1.00–1.30)	1.10 (0.90–1.60)	.766
Echo			.817
Median-high echo	20	19
High echo	4	5
Echo heterogenicity	7	5
Blood flow			.036*
No	21	13
Yes	4	10
Symptoms			.650
No	9	10
Yes	22	19
History of endometrial polypectomy			.155
No	27	21
Yes	4	8

Note. *The difference reached statistical significance.

Table 3. Risk factors for efficacy of dydrogesterone after univariate and multivariate analysis.

Characteristics	Univariate analysis		Multivariate analysis
	HR（95% CI）	p Value	HR（95% CI）	p Value
Age, years (≤36 vs.>36)	4.667 (1.571–13.866)	.006*	7.618 (1.781–32.581)	.006*
Gravidity (No vs. Yes)	3.947 (1.098–14.186)	.035*
Parity (No vs. Yes)	3.352 (1.111–10.115)	.032*
Number of polyps
(1 vs.>1)	1.326 (0.387–4.544)	.654
Polyp size, cm
(≤1.1cm vs.>1.1cm)	5.641 (1.754–18.142)	.004*	7.101 (1.744–28.916)	.006*
Endometrial thickness, cm
(≤1.1cm vs.>1.1cm)	0.742 (0.265–2.081)	.571
Blood flow (No vs. Yes)	4.312 (1.176–15.809)	.027*	5.902 (1.128–30.874)	.035*
Symptoms (No vs. Yes)	0.777 (0.261–2.311)	.650
History of endometrial polypectomy (No vs. Yes)	2.571 (0.681–9.711)	.164

Abbreviations: HR: hazard ratio; CI: confidence interval.

Note. *The difference reached statistical significance.

Figure 2. ROC curve was generated to evaluate the ability of the logistic model to predict efficacy of the treatment.

Data availability statement

The data that support the findings of this study are openly available in connieluyinxi/EP at https://github.com/connieluyinxi/EP.