Nomogram-based prediction of post-splenectomy thrombocytosis in children with hereditary spherocytosis

doi:10.5315/wjh.v12.i1.115355

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 12, Issue 1

This Article

(42)

(41)

(0)

(43)

(953)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Hematology

ISSN

2218-6204

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

World J Hematol. Jan 21, 2026; 12(1): 115355
Published online Jan 21, 2026. doi: 10.5315/wjh.v12.i1.115355

Table 3 Multivariate logistic regression analysis of risk factors for postoperative thrombocytosis

Variables	OR	95%CI	P value
Reticulocyte (%)	1.42	1.11-1.83	0.004
Preoperative platelet count	1.27	1.08-1.56	0.02
Mean platelet volume	0.81	0.69-0.95	0.01
Transfusion volume	1.35	1.05-1.72	0.03
Splenic size (cm)	1.10	0.92-1.32	0.18

P < 0.05 was considered statistically significant. Odds ratios and 95% confidence intervals were estimated using multivariate logistic regression. OR: Odds ratios; CI: Confidence intervals.

Full Size Table

Citation: Zhang T, Li ZC, Pan ZB, Qi SQ, Tang R. Nomogram-based prediction of post-splenectomy thrombocytosis in children with hereditary spherocytosis. World J Hematol 2026; 12(1): 115355
URL: https://www.wjgnet.com/2218-6204/full/v12/i1/115355.htm
DOI: https://dx.doi.org/10.5315/wjh.v12.i1.115355

Zhang T, Li ZC, Pan ZB, Qi SQ, Tang R. Nomogram-based prediction of post-splenectomy thrombocytosis in children with hereditary spherocytosis. World J Hematol 2026; 12(1): 115355 [DOI: 10.5315/wjh.v12.i1.115355]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.