Observational studyFuture oncology (London, England)2025
Postoperative nomogram for predicting involved lymph node in differentiated thyroid carcinoma: an observational study.
Observational study in Future oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aims to develop a comprehensive nomogram to accurately predict differentiated thyroid cancer (DTC) involved lymph node, enabling the personalization of treatment plans and optimizing patient outcomes.
methodsThe nomogram was developed through an analysis of data obtained from derivation cohorts. To identify independent predictors of involved lymph node, we utilized the Least Absolute Shrinkage and Selection Operator (LASSO) method in conjunction with multivariable logistic regression. These predictive factors were subsequently integrated into the nomogram's design. To ensure the tool's robustness and clinical applicability, we assessed its discriminative ability, calibration, and clinical utility in both the derivation cohort and an independent validation cohort.
resultsThe identification of four key parameters - Thyroglobulin, Lymphocyte count, BRAF
conclusionPeripheral lymphocyte counts have been found to correlate with involved lymph node in DTC patients. A nomogram tailored specifically for predicting involved lymph node in DTC guides personalized postoperative radioactive iodine (RAI) and plays a critical role in the preoperative assessment.
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