Evidence map›Paper›PMID 42174502›Full record

ArticleBMC endocrine disorders2026

Development and validation of a predictive model for hypothalamic obesity following craniopharyngioma resection.

Qianshuai Li, Linlin Zhao, Fengjuan Huang, Xuyang Gong, Mengxing Pan, Xinjing Liu, Tianfang Wang, Xulong Li, Yijing Xie, Ankang Gao and 2 more

Abstract readValidation Study
In one paragraph

Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Qianshuai Li *Department of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Linlin Zhao *Department of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Fengjuan HuangDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Xuyang GongDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Mengxing PanDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Xinjing LiuDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Tianfang WangDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Xulong LiDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Yijing XieDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Ankang GaoDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Yong ZhangDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Yanyan ZhaoDepartment of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China. fcczhaoyy1@zzu.edu.cn.

Funding

National Natural Science Foundation of China 82470876Natural Science Foundation of Henan Province 242300421272Research and Innovation Team Project of the First Affiliated Hospital of Zhengzhou University QNCXTD2023015
6 · The paper itself

Abstract

objectiveTo analyze the risk factors for hypothalamic obesity (HO) after craniopharyngioma surgery, construct a predictive model and verify its efficacy.

methodsA retrospective analysis was conducted on 136 patients diagnosed with craniopharyngioma at The First Affiliated Hospital of Zhengzhou University between September 2018 and February 2024. Clinical and follow-up data were collected and split into training and validation cohorts (7: 3) randomly and divided into HO and non-HO groups post-surgery. Logistic regression was used to analyse risk factors for postoperative HO, and a prediction model was constructed and its efficacy was verified.

resultsIn the training cohort, the preoperative body mass index (BMI), preoperative serum sodium, preoperative uric acid levels, postoperative calcium levels, the probability of intraoperative blood loss ≥ 100 ml and preoperative hypothalamic injury and T-type tumors were higher in HO group. Small tumors (< 5 cm³) were less frequent in HO group (all P < 0.05). Logistic regression analysis showed that preoperative high BMI and intraoperative blood loss ≥ 100 ml were independent risk factors for postoperative HO, while older age at onset and smaller tumor size were protective factors (all P < 0.05). The model developed from the training cohort showed that the area under the receiver operating characteristic curve (AUC) was 0.865(95%CI of 0.793 ~ 0.937), with a sensitivity of 79.5% and a specificity of 80.8%, the validation cohort had an AUC of 0.864(95%CI:0.744-0.983), with a sensitivity of 90.9% and a specificity of 72.2%. The calibration curve and Hosmer-Lemeshow test demonstrated that the predicted value of the model was in agreement with the observed values in both the training and verification cohorts (P > 0.05).

conclusionPreoperative high BMI and intraoperative blood loss ≥ 100 ml are independent risk factors for HO after craniopharyngioma surgery. A predictive model based on preoperative BMI, age at onset, intraoperative blood loss, and tumor size shows potential for predicting the risk of postoperative HO, aiding in early identification for high-risk patients. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

CraniopharyngiomaHypothalamic DiseasesNeurosurgical ProceduresObesityPituitary NeoplasmsPostoperative ComplicationsAdolescentAdultBody Mass IndexChildFemaleFollow-Up StudiesHumansMalePrognosisRetrospective StudiesBody mass indexHypothalamic obesityPostoperative craniopharyngiomaPredictive model

Identifiers

PMID42174502
PMCPMC13218063

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.