{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T22:50:20Z","timestamp":1777503020858,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Cancer Inform"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Leukemia is a type of cancers that start in the bone marrow and produce a serious number of abnormal white blood cells. Bleeding and bruising problems, fatigue, fever, and an increased risk of infection are among symptoms of the disease. The main objective of this study is to identify the determinant of the progression rate of white blood cells among patients with chronic lymphocytic leukemia at Felege Hiwot Referral Hospital (FHRH), Bahir Dar, Ethiopia.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>A retrospective study design was conducted on 312 patients with chronic lymphocytic leukemia at FHRH, Bahir Dar, Ethiopia under treatment from 1 January 2017 to 31 December 2019. A linear mixed-effects model was considered for the progression of the white blood cell data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The estimated coefficient of the fixed effect intercept was 84.68, indicating that the average white blood cell (WBC) count of the patients was 84.68 at baseline time by excluding all covariates in the model ( P-value &lt;.001). Male sex ( \u03b2\u2009=\u20092.92, 95% confidence interval [CI] 0.58, 0.5.25), age ( \u03b2\u2009=\u2009.17, 95% CI 0.08, 0.28), widowed\/divorced marital status ( \u03b2\u2009=\u20093.30, 95% CI 0.03, 6.57), medium chronic lymphocytic leukemia (CLL) stage ( \u03b2\u2009=\u2009\u22124.34, 95% CI \u22126.57, \u22122.68), high CLL stage ( \u03b2\u2009=\u2009\u22122.76, 95% CI \u22124.86, \u22120.67), hemoglobin ( \u03b2\u2009=\u2009.15, 95% CI 0.07, 0.22), platelet ( \u03b2\u2009=\u2009.09, 95% CI 0.02, 0.17), lymphocytes ( \u03b2\u2009=\u2009.16, 95% CI 0.03, 0.29), red blood cell (RBC) ( \u03b2\u2009=\u2009.17, 95% CI 0.09, 0.25), and follow-up time ( \u03b2\u2009=\u2009.27, 95% CI 0.19, 0.36) were significantly associated with the average WBC count of chronic lymphocytic leukemia patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>The finding showed that age, sex, lymphocytic, stage of chronic lymphocytic leukemia, marital status, platelet, hemoglobin, RBC, and follow-up time were significantly associated with the average WBC count of chronic lymphocytic leukemia patients. Therefore, health care providers should give due attention and prioritize those identified factors and give frequent counseling about improving the health of chronic lymphocytic leukemia patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/11769351211069902","type":"journal-article","created":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T02:33:16Z","timestamp":1642213996000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Risk Factors of White Blood Cell Progression Among Patients With Chronic Lymphocytic Leukemia at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia"],"prefix":"10.1177","volume":"21","author":[{"given":"Gedam Derbew","family":"Addisia","sequence":"first","affiliation":[{"name":"Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Debre Tabor, Ethiopia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Awoke Seyoum","family":"Tegegne","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denekew Bitew","family":"Belay","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2413-8026","authenticated-orcid":false,"given":"Mitiku Wale","family":"Muluneh","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Debre Tabor, Ethiopia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahider Abere","family":"Kassaw","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Debre Tabor, Ethiopia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,1,14]]},"reference":[{"key":"bibr1-11769351211069902","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1315226"},{"key":"bibr2-11769351211069902","volume":"10","author":"Reta C","year":"2015","journal-title":"PLoS One"},{"key":"bibr3-11769351211069902","doi-asserted-by":"publisher","DOI":"10.1016\/j.nurpra.2017.12.011"},{"key":"bibr4-11769351211069902","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2014-02-556399"},{"key":"bibr5-11769351211069902","doi-asserted-by":"publisher","DOI":"10.1007\/s00262-012-1313-6"},{"key":"bibr6-11769351211069902","doi-asserted-by":"publisher","DOI":"10.1002\/ajh.25595"},{"key":"bibr7-11769351211069902","first-page":"187","volume":"23","author":"Mariam DH","year":"2009","journal-title":"Ethiop J Health Dev"},{"key":"bibr8-11769351211069902","doi-asserted-by":"publisher","DOI":"10.11648\/j.sjph.20140205.17"},{"key":"bibr9-11769351211069902","doi-asserted-by":"publisher","DOI":"10.1016\/j.cancergen.2013.01.003"},{"key":"bibr10-11769351211069902","volume-title":"Chronic Lymphocytic Leukemia","author":"Mukkamalla SKR","year":"2017"},{"key":"bibr11-11769351211069902","doi-asserted-by":"publisher","DOI":"10.1177\/11769351211045975"},{"key":"bibr12-11769351211069902","first-page":"42","volume":"25","author":"Zwiebel JA","year":"1998","journal-title":"Semin Oncol"},{"key":"bibr13-11769351211069902","volume-title":"Paper presented at: Proceedings of the International MultiConference of Engineers and Computer Scientists","author":"Saengseedam P","year":"2014"},{"key":"bibr14-11769351211069902","first-page":"981","volume":"18","author":"Teshnizi SH","year":"2017","journal-title":"Asian Pac J Cancer 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