PATENT CLAIM ANALYSIS

Application Number: 15911699
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["435", "007940"]

Abstract:
The present invention relates to a method for assessing whether a subject shall be subjected to an imaging based diagnostic assessment. The method is based on the determination of the amount(s) of a cardiac Troponin and/or Fibroblast Growth Factor 23 (FGF-23) in a sample from the subject, and on the comparison of the, thus, determined amount(s) with a reference amount (reference amounts). The present invention also relates to a system for performing an assessment whether a subject shall be subjected to an imaging based diagnostic assessment and to reagents and kits used in performing the methods disclosed herein. Moreover, the present invention is directed to a method for predicting the risk of mortality and/or of a cardiovascular event. Also encompassed is a method for diagnosing an early stage of LVH in a subject having a preserved left ventricular ejection.

Claim (Index 1):
A method for assessing whether a subject shall be subjected to an imaging based diagnostic assessment comprising the steps of\n a) determining the amount(s) of a cardiac Troponin and/or Fibroblast Growth Factor 23 (FGF-23) in a sample from the subject, and b) comparing the determined amount in step (a) to a reference amount, whereby it is assessed whether the subject shall be subjected to an imaging based diagnostic assessment.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.10667
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15581587', '15274533', '15285685', '12901691', '12554042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5471468366787232
- 35 USC 102 Novelty (BERT): 0.5143087382783246
- Combined Prediction Score: 0.5438630268386834
- Mean Citation Score: 184.318908
- Max Citation Score: 294.09018
- Similarity Product: 192.9467401031148

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test