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Predicting Sensory Block Level in Caudal Anesthesia Based on Sacral Canal Anatomical Parameters and Height: Development of an Ordinal Logistic Regression Model and Nomogram.

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Title: Predicting Sensory Block Level in Caudal Anesthesia Based on Sacral Canal Anatomical Parameters and Height: Development of an Ordinal Logistic Regression Model and Nomogram.
Authors: Li, Zhengying (AUTHOR), Wu, Haixuan (AUTHOR), Zhang, Simin (AUTHOR), Yu, Shuailong (AUTHOR), Liu, Ling (AUTHOR), Liufu, Ning (AUTHOR)
Source: Therapeutics & Clinical Risk Management. May2026, Vol. 22, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Predicting Sensory Block Level in Caudal Anesthesia Based on Sacral Canal Anatomical Parameters and Height: Development of an Ordinal Logistic Regression Model and Nomogram.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Zhengying%22">Li, Zhengying</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Haixuan%22">Wu, Haixuan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Simin%22">Zhang, Simin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Shuailong%22">Yu, Shuailong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Ling%22">Liu, Ling</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liufu%2C+Ning%22">Liufu, Ning</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Therapeutics+%26+Clinical+Risk+Management%22">Therapeutics & Clinical Risk Management</searchLink>. May2026, Vol. 22, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195497449
RecordInfo BibRecord:
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        Value: 10.2147/TCRM.S581371
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        Text: English
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      – TitleFull: Predicting Sensory Block Level in Caudal Anesthesia Based on Sacral Canal Anatomical Parameters and Height: Development of an Ordinal Logistic Regression Model and Nomogram.
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            NameFull: Li, Zhengying
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            NameFull: Wu, Haixuan
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            NameFull: Zhang, Simin
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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