| Literature DB >> 21637358 |
Olga Modinou1, Lykourgos Liaropoulos, Dafni Kaitelidou, Kyriakos Kioulafas, Eleni-Maria Theodoraki.
Abstract
Aims. Worldwide, cervical cancer is the fifth most deadly cancer in women, but screening prevents cancer by detecting precancerous lesions. The purpose of this study is to present the treatment profile for precancerous lesions of the uterine cervix, according to demographic data. Methods. An annual retrospective study was conducted in two public primary health care centres in Greece. The total number of Pap smears and colposcopies performed as well as the management of women with cervical intraepithelial neoplasia was collected and analysed. Results. Demographic characteristics and correlations with levels of Cervical Intraepithelial Neoplasia (CIN) and treatment path are presented. For each case, we noted the patients' age, the marital and educational status, and the professional and insurance type. From a total of 238 diagnostic procedures, 118 (49.5%) showed precancerous lesions, 83.3% of these were high grade while 16.7% were low grade. Conclusions. This study provides an estimate of the extensiveness of precancerous lesions of the uterine cervix. Management of CIN should be accounted for when balancing the benefits and unfavourable effects of this screening.Entities:
Year: 2010 PMID: 21637358 PMCID: PMC3102582 DOI: 10.5402/2011/301680
Source DB: PubMed Journal: ISRN Obstet Gynecol ISSN: 2090-4436
Figure 1The marital status of the study population.
Figure 2The occupation of the study population.
Patient demographics by hospital.
| Characteristics | Hospital | ||
|---|---|---|---|
| General hospital (%) | Cancer hospital (%) | ||
| Marital status | Single | 49.5 | 50.3 |
| Married | 39.5 | 38.8 | |
| Widow-divorced | 11.0 | 10.9 | |
|
| |||
| Education | Illiterate | 0.0 | 0.0 |
| Elementary primary school | 3.7 | 0.8 | |
| High school | 63.3 | 49.6 | |
| University | 33.0 | 49.6 | |
|
| |||
| Occupation | Civil servant | 12.8 | 14.7 |
| Private employee | 46.8 | 39.5 | |
| Free professional | 4.6 | 4.7 | |
| household | 21.1 | 16.3 | |
| Other | 14.7 | 24.8 | |
|
| |||
| Insurance fund | Public sector | 17.4 | 18.6 |
| Social security institute | 51.4 | 47.3 | |
| Insurance fund for craftsmen and small traders | 13,8 | 15,6 | |
| Lawyers insurance fund | 4.6 | 4.7 | |
| Mariners' pension fund | 6.4 | 8.5 | |
| Agricultural insurance organization | 6.4 | 5.4 | |
Patient demographics according to dysplasia grade.
| Characteristics | CIN grade |
| |||||||
|---|---|---|---|---|---|---|---|---|---|
| CIN1 | CIN2 | CIN3 | ASC/ASCUS | ||||||
|
| % |
| % |
| % |
| % | ||
| Marital status | .02* | ||||||||
| Married | 19 | 38.8 | 23 | 56.1 | 19 | 67.9 | 58 | 48.3 | |
| Single | 24 | 49.0 | 11 | 26.8 | 5 | 17.9 | 53 | 44.2 | |
| Widow-divorced | 6 | 12.2 | 7 | 17.1 | 4 | 14.2 | 9 | 7.5 | |
|
| |||||||||
| Education | .64* | ||||||||
| Illiterate | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | |
| Elementary primary school | 0 | 0.0 | 0 | 0.0 | 1 | 3.6 | 4 | 3.3 | |
| High school | 25 | 51.0 | 22 | 53.7 | 17 | 60.7 | 69 | 57.5 | |
| University | 24 | 49.0 | 19 | 46.3 | 10 | 35.7 | 47 | 39.2 | |
|
| |||||||||
| Occupation | .66** | ||||||||
| Civil servant | 9 | 18.4 | 6 | 14.6 | 3 | 10.7 | 15 | 12.5 | |
| Private employee | 20 | 40.8 | 18 | 43.9 | 11 | 39.3 | 53 | 44.2 | |
| Free professional | 3 | 6.1 | 2 | 4.9 | 0 | 0.0 | 6 | 5.0 | |
| Household | 4 | 8.2 | 9 | 22.0 | 6 | 21.4 | 25 | 20.8 | |
| Other | 13 | 26.5 | 6 | 14.6 | 8 | 28.6 | 21 | 17.5 | |
|
| |||||||||
| Insurance Fund | .99* | ||||||||
| Public sector | 10 | 20.4 | 9 | 22.0 | 5 | 17.9 | 19 | 15.8 | |
| Social security institute | 24 | 49.0 | 18 | 43.9 | 14 | 50.0 | 61 | 50.8 | |
| Insurance fund for craftsmen and small traders | 7 | 14,3 | 5 | 12,3 | 3 | 10.7 | 20 | 16.7 | |
| Lawyers insurance fund | 3 | 6.1 | 2 | 4.9 | 1 | 3.6 | 5 | 4.2 | |
| Mariners' pension fund | 3 | 6.1 | 4 | 9.8 | 2 | 7.1 | 9 | 7.5 | |
| (Hellenic) agricultural insurance organization | 2 | 4.1 | 3 | 7.3 | 3 | 10.7 | 6 | 5.0 | |
|
| |||||||||
| Age (mean ± SD) | 49 | 35 ± 11 | 41 | 39 ± 10 | 28 | 43 ± 8 | 120 | 35 ± 11 | <.001*** |
*Fisher's exact test
**Pearson Chi-square
***One-way ANOVA.
Demographics of patients by treatment path.
|
Conservative | Cryotherapy | Diathermic conization electrosurgical excisional procedure | Loop electrosurgical excisional procedure | LLETZ |
| ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % |
| % | ||
| Marital status | <.001* | ||||||||||
| Married | 55 | 41.4 | 5 | 38.5 | 31 | 70.5 | 23 | 54.8 | 5 | 83.3 | |
| Single | 64 | 48.1 | 7 | 53.8 | 7 | 15.9 | 14 | 33.3 | 1 | 16.7 | |
| Widow-divorced | 14 | 10.5 | 1 | 7.7 | 6 | 13.6 | 5 | 11.9 | 0 | 0.0 | |
|
| |||||||||||
| Education | .75* | ||||||||||
| Illiterate | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | |
| Elementary primary school | 3 | 2.3 | 0 | 0.0 | 1 | 2.3 | 1 | 2.4 | 0 | 0.0 | |
| High school | 81 | 60.9 | 6 | 46.2 | 21 | 47.7 | 22 | 52.4 | 3 | 50.0 | |
| University | 49 | 36.8 | 7 | 53.8 | 22 | 50.0 | 19 | 45.2 | 3 | 50.0 | |
|
| |||||||||||
| Occupation | .26** | ||||||||||
| Civil servant | 15 | 11.3 | 2 | 15.4 | 8 | 18.2 | 8 | 19.0 | 0 | 0.0 | |
| Private employee | 54 | 40.6 | 9 | 69.2 | 18 | 40.9 | 20 | 47.6 | 1 | 16.7 | |
| Free professional | 8 | 6.0 | 0 | 0.0 | 3 | 6.8 | 0 | 0.0 | 0 | 0.0 | |
| Household | 24 | 18.0 | 2 | 15.4 | 9 | 20.5 | 6 | 14.3 | 3 | 50.0 | |
| Other | 32 | 24.1 | 0 | 0.0 | 6 | 13.6 | 8 | 19.0 | 2 | 33.3 | |
|
| |||||||||||
| Insurance Fund | .07** | ||||||||||
| Public sector | 19 | 14.3 | 2 | 15.4 | 11 | 25.0 | 11 | 26.2 | 0 | 0.0 | |
| Social security institute | 63 | 47.4 | 10 | 76.9 | 19 | 43.2 | 23 | 54.8 | 2 | 33.3 | |
| Insurance fund for craftsmen and small traders | 23 | 17.3 | 0 | 0.0 | 8 | 18,2 | 3 | 7.1 | 1 | 16.7 | |
| Lawyers insurance fund | 8 | 6.0 | 1 | 7.7 | 1 | 2.3 | 0 | 0.0 | 1 | 16.7 | |
| Mariners' pension fund | 12 | 9.0 | 0 | 0.0 | 4 | 9.1 | 2 | 4.8 | 0 | 0.0 | |
| (Hellenic) agricultural insurance organization | 8 | 6.0 | 0 | 0.0 | 1 | 2.3 | 3 | 7.1 | 2 | 33.3 | |
|
| |||||||||||
| Age (mean ± SD) | 133 | 35 ± 11 | 13 | 34 ± 6 | 44 | 41 ± 10 | 42 | 39 ± 10 | 6 | 43 ± 10 | <.001*** |
*Fisher's exact test
**Pearson Chi-square
***One-way ANOVA.