Nomogram for predicting malignancy in thyroid nodules using clinical, biochemical, ultrasonographic, and cytologic features

Nixon, Iain J.; Ganly, Ian; Lin, Oscar; Yu, Changhong; Brandt, Suzanne M.; Shah, Jatin P.; Shaha, Ashok R.; Kattan, Michael W.; Patel, Snehal G.

doi:10.1016/j.surg.2010.09.030

Cited by 27 publications

(19 citation statements)

References 25 publications

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“…Nomograms have been widely used in many areas of oncology to maximize the prediction of treatment outcomes and individualize treatment (39, 40). In ovarian cancer, nomograms were developed by Chi et al to predict 5-year disease mortality with promising results for patient counseling and postoperative management (41, 42).…”

Section: Discussionmentioning

confidence: 99%

Risk-Scoring Model for Prediction of Non-Home Discharge in Epithelial Ovarian Cancer Patients

AlHilli

Tran

Langstraat

et al. 2013

Journal of the American College of Surgeons

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Section: Discussionmentioning

confidence: 99%

Risk-Scoring Model for Prediction of Non-Home Discharge in Epithelial Ovarian Cancer Patients

AlHilli

Tran

Langstraat

et al. 2013

Journal of the American College of Surgeons

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“…Nomograms are used widely in medicine. The MELD score prioritizes patients on the liver transplant waiting list,23 and nomograms are used for staging, prognosis, and treatment prediction in cancer patients 24‐26. More recently, nomograms have been used in discharge planning for patients undergoing knee arthroplasty 27, 28.…”

Section: Discussionmentioning

confidence: 99%

Predicting the discharge status after liver transplantation at a single center: A new approach for a new era

et al. 2012

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“…The search strategy in these databases all comprised MeSH terms of “thyroid neoplasm” or “thyroid cancer,” as well as (all fields) “thyrotropic hormone,” “thyrotropin,” “TSH,” and “hormothyrin,” following the MOOSE (Meta-analyses Of Observational Studies) guidelines [20]. No language restriction was applied.…”

Section: Methodsmentioning

confidence: 99%

An overall and dose-response meta-analysis for thyrotropin and thyroid cancer risk by histological type

Liu

et al. 2016

Oncotarget

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Thyrotropin (TSH) is thought as a risk factor for thyroid cancer. However, the effect of serum TSH might depend on histological types of thyroid cancer. We searched for related studies including serum TSH as an exposure and thyroid cancer as a result in PUBMED, EMBASE and Chinese National Knowledge Infrastructure up to April 21, 2016. This meta-analysis included 22 articles with 53,538 participants. When comparing all histological thyroid cancer, the pooled odds ratios of thyroid cancer in patients with nodules was found to increase significantly with higher serum TSH concentrations for differentiated thyroid carcinoma (1.88 vs .1.48, P = 0.0000) and papillary thyroid carcinoma (2.08 vs. 1.48, P = 0.0006). Each 1 mU/L increase of serum TSH was associated with 14% greater risk of thyroid cancer for all histological thyroid cancer, 16% for differentiated thyroid carcinoma and 22% for papillary thyroid carcinoma. In addition, high serum TSH was associated with a reduced risk for follicular thyroid carcinoma (OR = 0.73, 95% CI: 0.52, 1.02). This meta-analysis suggested high serum TSH concentration is risky for papillary thyroid carcinoma but not for follicular thyroid carcinoma.

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Nomogram for predicting malignancy in thyroid nodules using clinical, biochemical, ultrasonographic, and cytologic features

Cited by 27 publications

References 25 publications

Risk-Scoring Model for Prediction of Non-Home Discharge in Epithelial Ovarian Cancer Patients

Risk-Scoring Model for Prediction of Non-Home Discharge in Epithelial Ovarian Cancer Patients

Predicting the discharge status after liver transplantation at a single center: A new approach for a new era

An overall and dose-response meta-analysis for thyrotropin and thyroid cancer risk by histological type

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