ArticleEndocrine2019
A nomogram for predicting the presence of germline mutations in pheochromocytomas and paragangliomas.
Article in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Clinical exome next‑generation sequencing panel for hereditary pheochromocytoma and paraganglioma diagnosis.Experimental and therapeutic medicine · 2025Article
- Patient Sex and Origin Influence Distribution of Driver Genes and Clinical Presentation of Paraganglioma.Journal of the Endocrine Society · 2024Article
- Prognostic nomograms for lung neuroendocrine carcinomas based on lymph node ratio: a SEER database analysis.The Journal of international medical research · 2022Article
- A Nomogram for Individualized Prediction of Calf Muscular Vein Thrombosis in Stroke Patients During Rehabilitation: A Retrospective Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeUp to 40% of patients with pheochromocytomas or paragangliomas (PPGLs) carry a germline mutation. This study aimed to build a nomogram using clinical information to predict the probability of germline mutation in PPGLs.
methodsThe data were collected from 563 patients who were diagnosed with PPGLs between 2002 and 2015. Clinical and pathologic features were assessed with a multivariable logistic regression analysis to predict the presence of germline mutations. A nomogram to predict the probability of germline mutation was constructed with R software. Discrimination and calibration were employed to evaluate the performance of the nomogram.
resultsBy multivariate analysis, age at manifestation, bilateral, or multifocal tumors and family history were identified as independent predictors of the presence of any germline mutation. The nomogram was then developed using these three variables. The nomogram showed an area under the receiver operating characteristic curve (AUC) of 0. 841 (95% confidence interval [CI], 0.809-0.871). The calibration plot indicated that the nomogram-predicted probabilities compared very well with the actual probabilities (Hosmer-Lemeshow test: P = 0.888).
conclusionThe nomogram is a valuable predictive tool for the presence of germline mutations in patients with PPGLs.
Indexed as
Identifiers
31606865What 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.