{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T04:27:51Z","timestamp":1792038471303,"version":"4.4.0"},"reference-count":30,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>\n                    A\n                    <jats:sc>BSTRACT<\/jats:sc>\n                  <\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>The incidence of endometrial cancer is on the rise in India, particularly in Kerala. A comprehensive understanding of the clinicopathological profile of endometrial cancer can help identify the underlying factors driving this trend and facilitate the development of targeted preventive strategies and effective management policies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>This register-based retrospective study analyzed clinicopathological patterns in endometrial cancer patients at a tertiary care hospital in Kerala from 2013 to 2019, with Institutional Review Board and Scientific Committee clearance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      A total of 476 patients were identified with endometrial cancer diagnosed and\/or treated at our institution. The mean age was 57.9 years (standard deviation [SD] \u00b1 9.5 years) with 73.3% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 349) postmenopausal, 14.1% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 67) perimenopausal\/unknown status, and 12.6% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 60) premenopausal. Histopathological analysis showed 80.0% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 381) endometrioid, 8% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 38) carcinosarcoma, 6.3% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 30) serous, 3.6% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 17) clear cell, 1.9% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 9) un\/dedifferentiated, and 0.2% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 1) a rare squamous cell carcinoma. Out of 406 patients with available tumor grading, 50% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 203) were classified as Grade 1, 15.8% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 64) as Grade 2, and 34.2% (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 139) as Grade 3. There was a significant relationship between age and tumor grade; the mean age of occurrence of high grade was 61 years (SD \u00b1 9.8), and low grade was 56.5 (SD \u00b1 8.6) (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = &lt;0.001). Age also correlated with the incidence of endometrioid or nonendometrioid tumors (mean age 56.7 \u00b1 9.1 years vs. 62.2 \u00b1 9.4 years,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = &lt;0.001). Nonendometrioid tumors were diagnosed in advanced stages compared to endometrioid type (38.1% vs. 20.8% in Stage III\/IV,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.004). The tumor size was directly correlated with advanced stage, tumor grade, and myometrial invasion. Specifically, the likelihood of diagnosis at an advanced stage increased with tumor size: 0% for tumors smaller than 2 cm, 11% for tumors measuring 2\u20134 cm, and 21% for tumors larger than 4 cm (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.001). The deep myometrial invasion occurred in 33.0% of tumors &lt;4 cm versus 68.0% of tumors \u22654 cm (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = &lt;0.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The most common type of endometrial cancer is the endometrioid type. Older age is associated with nonendometrioid as well as high-grade disease. Tumor size plays an important role in predicting myometrial invasion, grading, and stage of the disease.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jmh.jmh_191_24","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T16:18:06Z","timestamp":1744042686000},"page":"96-102","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":2,"title":["Clinicopathological Profile of Carcinoma Endometrium in a Single Institution of Kerala, India"],"prefix":"10.4103","volume":"16","author":[{"given":"Anjali","family":"Prem","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynaecology, Government Medical College, Kottayam, Kerala, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Murali","family":"Thekkeveettil","sequence":"additional","affiliation":[{"name":"Department of Surgical Oncology, Government Medical College, Kottayam, Kerala, 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