ArticleAmerican journal of cancer research2023
Nomogram for predicting hemodynamic instability and the association between preoperative 3D printing and hemodynamic instability during laparoscopic adrenalectomy for pheochromocytoma.
Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Three-dimensional image guidance for diagnosis and treatment of adrenal disease: a systematic review.Updates in surgery · 2026Pooled it
- Integration of Three-dimensional Visualization Reconstruction Technology with Problem-Based Learning in the Clinical Training of Resident Physicians Specialized in Pheochromocytoma.Current medical imaging · 2025Trial
- The effect of mass functionality on laparoscopic adrenalectomy outcomes.Langenbeck's archives of surgery · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laparoscopic adrenalectomy (LA) for resection of pheochromocytomas (PCCs) is associated with high risk of complications and morbidity due to intraoperative hemodynamic instability (HDI). This study aims to identify factors related to HDI during laparoscopic resection of pheochromocytoma and develop a scoring model for prediction of HDI. Data of a total of 119 patients with pathological confirmed PCCs were collected at a single center in China between 2010 and 2021. All patients underwent unilateral LA for PCCs. Clinical and biochemical variables were collected. Next-generation sequencing was performed in all PCCs patients for detection of mutations. Univariate and multivariable logistic regression analyses were used to select risk factors for constructing the nomogram. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the discrimination of the nomogram. The calibration curve was performed. Finally, four variables including 24 h urinary output of urine vanillylmandelic acid (VMA) ≥ 58 μmol/day, tumor size ≥ 4 cm, right-side tumor location, Cluster 2 mutations were independent risk factors for HDI during LA and were included in the nomogram. The nomogram demonstrated a good discrimination performance with an AUC of 0.784 [95% confidence interval (CI), 0.701-0.867]. The calibration curve showed a bias-corrected AUC of 0.758. Multivariable analysis revealed that preoperative 3D printing is an independent protective factor for HDI. Our study proposed a novel nomogram for prediction of HDI during LA for resection of PCCs. Preoperative 3D printing was associated with HDI in PCCs.
Indexed as
Identifiers
37168353PMC10164799W4376224863What OpenQuestion holds
Registered trials
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.