| Literature DB >> 35237731 |
Krina T Zondervan1,2, Stacey Missmer3,4,5, Mauricio S Abrao6,7, Jon I Einarsson8, Andrew W Horne9, Neil P Johnson10, Ted T M Lee11, John Petrozza12, Carla Tomassetti13,14, Nathalie Vermeulen15, Grigoris Grimbizis16, Rudy Leon De Wilde17.
Abstract
STUDY QUESTION: Which classification system for endometriosis do clinicians use most frequently, and why? SUMMARY ANSWER: Even with a high uptake of the three existing endometriosis classification systems, most clinicians managing endometriosis would like a new simple surgical descriptive system for endometriosis. WHAT IS KNOWN ALREADY: In the field of endometriosis, several classifications, staging and reporting systems have been developed and published, but there are no data on the uptake of these systems in clinical practice. STUDY DESIGN SIZE DURATION: A survey was designed using the online SurveyMonkey tool consisting of 11 questions concerning three domains-participants background, existing classification systems and intentions with regards to a new classification system for endometriosis. Replies were collected between 15 May and 1 July 2020. PARTICIPANTS/MATERIALS SETTINGEntities:
Keywords: ENZIAN; classification; endometriosis; endometriosis fertility index; infertility; reporting; revised American Society for Reproductive Medicine; staging; survey
Year: 2022 PMID: 35237731 PMCID: PMC8885296 DOI: 10.1093/hropen/hoac002
Source DB: PubMed Journal: Hum Reprod Open ISSN: 2399-3529
Figure 1.Overview of replies to the survey on endometriosis classification systems, across different regions.
Figure 2.Overview of professions and expertise of the respondents.
Figure 3.Knowledge and use of ENZIAN, rASRM and EFI. rASRM, Revised American Society for Reproductive Medicine; EFI, Endometriosis Fertility Index.
Figure 4.Current use of a classification system, and which system is used.
Figure 5.Problems with use of the existing classification systems and reasons for not using a classification system.
Figure 6.Interest in a new simple surgical descriptive system for endometriosis.
Comparison of the replies of surgeons versus non-surgeons to questions in a survey on use of endometriosis classification systems.
| SURGEON† | NON-SURGEON†† | Chi-square | ||||
|---|---|---|---|---|---|---|
| N | % | N | % | |||
|
| ||||||
|
| Africa | 25 | 2.8% | 14 | 5.2% |
|
| Asia | 118 | 13.1% | 45 | 16.6% | ||
| Europe | 377 | 42.0% | 101 | 37.3% | ||
| North-America | 244 | 27.2% | 73 | 26.9% | ||
| Oceania | 53 | 5.9% | 4 | 1.5% | ||
| South-America | 81 | 9.0% | 34 | 12.5% | ||
|
| None | 0 | 0 | 0 | 0 |
|
| <10 patients per month | 248 | 27.6% | 89 | 32.8% | ||
| 10–50 patients per month | 507 | 56.5% | 151 | 55.7% | ||
| >50 patients per month | 143 | 15.9% | 31 | 11.4% | ||
|
| None | 21 | 2.3% | 118 | 43.5% |
|
| <5 | 307 | 34.2% | 100 | 36.9% | ||
| 5–10 | 314 | 35.0% | 32 | 11.8% | ||
| 10–20 | 177 | 19.7% | 16 | 5.9% | ||
| >20 | 79 | 8.8% | 5 | 1.8% | ||
|
| ||||||
|
| Knowledge | 322 | 37.2% | 85 | 33.2% |
|
| Use | 165 | 19.1% | 32 | 12.5% | ||
| No knowledge/use | 379 | 43.8% | 139 | 54.3% | ||
|
| Knowledge | 285 | 32.9% | 84 | 32.8% |
|
| Use | 543 | 62.7% | 157 | 61.3% | ||
| No knowledge/use | 38 | 4.4% | 15 | 5.9% | ||
|
| Knowledge | 416 | 48.0% | 132 | 51.6% |
|
| Use | 234 | 27.0% | 72 | 28.1% | ||
| No knowledge/use | 216 | 24.9% | 52 | 20.3% | ||
|
| Yes | 650 | 75.1% | 197 | 77.0% |
|
| No | 216 | 24.9% | 59 | 23.0% | ||
|
| Total | 568 | 130 |
| ||
| Enzian | 145 | 25.5% | 10 | 7.7% | ||
| rASRM | 492 | 86.6% | 117 | 90.0% | ||
| EFI | 158 | 27.8% | 42 | 32.3% | ||
| Other | 34 | 6.0% | 3 | 2.3% | ||
|
| Total | 642 | 192 |
| ||
| None | 181 | 28.2% | 56 | 29.2% | ||
| Too complicated | 151 | 23.5% | 31 | 16.1% | ||
| Not clinically relevant | 273 | 42.5% | 68 | 35.4% | ||
| Takes too much time | 124 | 19.3% | 36 | 18.8% | ||
| Other | 92 | 14.3% | 30 | 15.6% | ||
|
| Total | 216 | 58 |
| ||
| Existing systems are too complicated | 90 | 41.7% | 20 | 34.5% | ||
| Existing systems are not clinically relevant | 162 | 75.0% | 30 | 51.7% | ||
| Existing systems take too much time to complete | 69 | 31.9% | 15 | 25.9% | ||
| Other reason | 31 | 14.4% | 17 | 29.3% | ||
|
| ||||||
|
| Yes | 816 | 95.7% | 231 | 93.1% |
|
| No | 37 | 4.3% | 17 | 6.9% | ||
|
| Total | 853 | 248 |
| ||
| Predictor of response to treatment | 563 | 66.0% | 175 | 70.6% | ||
| Better patient care | 422 | 49.5% | 123 | 49.6% | ||
| Research purposes | 366 | 42.9% | 85 | 34.3% | ||
| Standardization of reporting | 679 | 79.6% | 170 | 68.5% | ||
| Billing purposes | 135 | 15.8% | 13 | 5.2% | ||
| Predict complexity to assist in surgical planning | 430 | 50.4% | 62 | 25.0% | ||
| Other | 32 | 3.8% | 10 | 4.0% | ||
Non-gynaecologist and gynaecologist surgeons.
Gynaecologists not performing surgery, reproductive endocrinologists, fertility specialists, sonographers.
Significant (P < 0.05) in comparing surgeons versus non-surgeons.
rASRM, Revised American Society for Reproductive Medicine.
Comparison of replies to the survey by continent.
| Africa | Asia | Europe | North-America | Oceania | South-America | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | N | % | N | % | N | % | ||
|
| |||||||||||||
|
| Surgeon (non-gynaecologist) | 0 | 0.0% | 2 | 1.2% | 3 | 0.6% | 2 | 0.6% | 0 | 0.0% | 1 | 0.9% |
| Gynaecologist-surgeon | 25 | 64.1% | 116 | 71.2% | 374 | 78.2% | 242 | 76.3% | 53 | 93.0% | 80 | 69.6% | |
| Gynaecologist not performing surgery | 0 | 0.0% | 2 | 1.2% | 29 | 6.1% | 3 | 0.9% | 2 | 3.5% | 5 | 4.3% | |
| Reproductive endocrinologist | 3 | 7.7% | 12 | 7.4% | 23 | 4.8% | 55 | 17.4% | 1 | 1.8% | 5 | 4.3% | |
| Fertility specialist | 11 | 28.2% | 31 | 19.0% | 47 | 9.8% | 14 | 4.4% | 1 | 1.8% | 20 | 17.4% | |
| Sonographer | 0 | 0.0% | 0 | 0.0% | 2 | 0.4% | 1 | 0.3% | 0 | 0.0% | 4 | 3.5% | |
|
| <10 patients per month | 18 | 46.2% | 52 | 31.9% | 124 | 25.9% | 99 | 31.2% | 9 | 15.8% | 35 | 30.4% |
| 10–50 patients per month | 17 | 43.6% | 88 | 54.0% | 281 | 58.8% | 175 | 55.2% | 38 | 66.7% | 59 | 51.3% | |
| >50 patients per month | 4 | 10.3% | 23 | 14.1% | 73 | 15.3% | 43 | 13.6% | 10 | 17.5% | 21 | 18.3% | |
|
| None | 8 | 20.5% | 21 | 12.9% | 65 | 13.6% | 22 | 6.9% | 3 | 5.3% | 20 | 17.4% |
| <5 | 14 | 35.9% | 66 | 40.5% | 148 | 31.0% | 128 | 40.4% | 11 | 19.3% | 40 | 34.8% | |
| 5–10 | 10 | 25.6% | 50 | 30.7% | 145 | 30.3% | 94 | 29.7% | 17 | 29.8% | 30 | 26.1% | |
| 10–20 | 6 | 15.4% | 16 | 9.8% | 77 | 16.1% | 51 | 16.1% | 23 | 40.4% | 20 | 17.4% | |
| >20 | 1 | 2.6% | 10 | 6.1% | 43 | 9.0% | 22 | 6.9% | 3 | 5.3% | 5 | 4.3% | |
|
| |||||||||||||
|
| Knowledge | 14 | 35.9% | 55 | 35.3% | 186 | 41.0% | 76 | 24.6% | 20 | 35.7% | 56 | 51.9% |
| Use | 6 | 15.4% | 16 | 10.3% | 130 | 28.6% | 23 | 7.4% | 4 | 7.1% | 18 | 16.7% | |
| No knowledge/use | 19 | 48.7% | 85 | 54.5% | 138 | 30.4% | 210 | 68.0% | 32 | 57.1% | 34 | 31.5% | |
|
| Knowledge | 15 | 38.5% | 64 | 41.0% | 146 | 32.2% | 100 | 32.4% | 10 | 17.9% | 34 | 31.5% |
| Use | 20 | 51.3% | 85 | 54.5% | 282 | 62.1% | 200 | 64.7% | 44 | 78.6% | 69 | 63.9% | |
| No knowledge/use | 4 | 10.3% | 7 | 4.5% | 26 | 5.7% | 9 | 2.9% | 2 | 3.6% | 5 | 4.6% | |
|
| Knowledge | 20 | 51.3% | 81 | 51.9% | 239 | 52.6% | 125 | 40.5% | 23 | 41.1% | 60 | 55.6% |
| Use | 14 | 35.9% | 37 | 23.7% | 136 | 30.0% | 62 | 20.1% | 21 | 37.5% | 36 | 33.3% | |
| No knowledge/use | 5 | 12.8% | 38 | 24.4% | 79 | 17.4% | 122 | 39.5% | 12 | 21.4% | 12 | 11.1% | |
|
| Yes | 29 | 74.4% | 117 | 75.0% | 343 | 75.6% | 227 | 73.5% | 45 | 80.4% | 86 | 79.6% |
| No | 10 | 25.6% | 39 | 25.0% | 111 | 24.4% | 82 | 26.5% | 11 | 19.6% | 22 | 20.4% | |
|
| Total | 21 | 88 | 267 | 210 | 41 | 71 | ||||||
| Enzian | 2 | 9.5% | 12 | 13.6% | 113 | 42.3% | 12 | 5.7% | 0 | 0.0% | 16 | 22.5% | |
| rASRM | 18 | 85.7% | 75 | 85.2% | 226 | 84.6% | 195 | 92.9% | 38 | 92.7% | 57 | 80.3% | |
| EFI | 6 | 28.6% | 32 | 36.4% | 90 | 33.7% | 35 | 16.7% | 10 | 24.4% | 27 | 38.0% | |
| Other | 0 | 0.0% | 1 | 1.1% | 19 | 7.1% | 8 | 3.8% | 6 | 14.6% | 3 | 4.2% | |
|
| Total | 28 | 115 | 335 | 226 | 45 | 85 | ||||||
| None | 8 | 28.6% | 30 | 26.1% | 105 | 31.3% | 66 | 29.2% | 11 | 24.4% | 17 | 20.0% | |
| Too complicated | 4 | 14.3% | 30 | 26.1% | 60 | 17.9% | 56 | 24.8% | 16 | 35.6% | 16 | 18.8% | |
| Not clinically relevant | 10 | 35.7% | 49 | 42.6% | 121 | 36.1% | 105 | 46.5% | 25 | 55.6% | 31 | 36.5% | |
| Takes too much time | 7 | 25.0% | 23 | 20.0% | 52 | 15.5% | 47 | 20.8% | 10 | 22.2% | 21 | 24.7% | |
| Other reason | 3 | 10.7% | 9 | 7.8% | 58 | 17.3% | 31 | 13.7% | 6 | 13.3% | 15 | 17.6% | |
|
| Total | 10 | 39 | 110 | 82 | 11 | 22 | ||||||
| Existing systems are too complicated | 4 | 40.0% | 15 | 38.5% | 49 | 44.5% | 31 | 37.8% | 6 | 54.5% | 5 | 22.7% | |
| Existing systems are not clinically relevant | 4 | 40.0% | 21 | 53.8% | 74 | 67.3% | 72 | 87.8% | 7 | 63.6% | 14 | 63.6% | |
| Existing systems take too much time to complete | 6 | 60.0% | 13 | 33.3% | 35 | 31.8% | 24 | 29.3% | 1 | 9.1% | 5 | 22.7% | |
| Other reason | 2 | 20.0% | 6 | 15.4% | 20 | 18.2% | 13 | 15.9% | 1 | 9.1% | 6 | 27.3% | |
|
| |||||||||||||
|
| Yes | 37 | 97.4% | 151 | 98.1% | 413 | 94.3% | 290 | 94.2% | 50 | 89.3% | 106 | 99.1% |
| No | 1 | 2.6% | 3 | 1.9% | 25 | 5.7% | 18 | 5.8% | 6 | 10.7% | 1 | 0.9% | |
|
| Total | 38 | 154 | 438 | 308 | 56 | 107 | ||||||
| Predictor of response to treatment | 25 | 65.8% | 116 | 75.3% | 277 | 63.2% | 208 | 67.5% | 31 | 55.4% | 81 | 75.7% | |
| Better patient care | 17 | 44.7% | 84 | 54.5% | 208 | 47.5% | 163 | 52.9% | 30 | 53.6% | 43 | 40.2% | |
| Research purposes | 9 | 23.7% | 52 | 33.8% | 185 | 42.2% | 145 | 47.1% | 26 | 46.4% | 34 | 31.8% | |
| Standardization of reporting | 32 | 84.2% | 102 | 66.2% | 350 | 79.9% | 242 | 78.6% | 46 | 82.1% | 77 | 72.0% | |
| Billing purposes | 4 | 10.5% | 6 | 3.9% | 20 | 4.6% | 102 | 33.1% | 7 | 12.5% | 9 | 8.4% | |
| Predict complexity to assist in surgical planning | 13 | 34.2% | 56 | 36.4% | 186 | 42.5% | 172 | 55.8% | 20 | 35.7% | 45 | 42.1% | |
| Other | 0 | 0.0% | 5 | 3.2% | 19 | 4.3% | 11 | 3.6% | 2 | 3.6% | 5 | 4.7% | |