Nomogram is such a clear and concise way to show your highlights.
In recent years, nomogram has appeared, and it appears more and more in high-quality clinical papers.
A good nomogram can add a touch of bright color to your paper.
Nomogram: Nomogram or Nomogram in Chinese is a prediction model created by Henderson in 1926. It can be used to diagnose diseases, predict the prognosis of diseases and predict the recurrence of diseases.
Its core lies in giving different scores to different indicators, and comprehensively calculating the total score of all the scores, so as to diagnose or predict.
Next, take an article about the nomogram of esophageal cancer as an example to explain how to interpret the nomogram.
Nomogram mainly consists of three parts: scoring part, index part and ending part.
According to the patient's condition, choose the score of the corresponding index.
For example, my patient is a 65-year-old female patient with esophageal squamous cell carcinoma. Her pathological grade was high (G3) and she did not receive radiotherapy or chemotherapy. The TNM stage was T2 N0, and the number of lymph nodes detected was > 13.
I want to predict the 3-year survival rate and 5-year survival rate of this patient.
For each index, such as age, sex, pathological type, radiotherapy and chemotherapy, etc. , the corresponding scoring part is shown in the figure below. Age 65 years old, corresponding score12; Female, the corresponding score is 0; Squamous cell carcinoma, the corresponding score is 20 points.
After scoring each indicator, add all the sub-scores to get the total score.
For example, the total score of the above patients is 150.
Finally, according to the total score 150, the corresponding 3-year survival rate and 5-year survival rate were analyzed, which were 54% and 42% respectively.
The nomogram can be used to predict the possibility of individual illness; Or predict the 3-year survival rate and 5-year survival rate of patients; Or predict the possibility of recurrence or metastasis of patients.
Widely used in the field of tumor, clinical research of other diseases can also be applied.
The most commonly used drawing tool is R language.
The simplest drawing tool is "Easy Software".
Other software includes SAS, etc.
Nomogram is also a routine in SEER research. It is very common to publish SEER articles using nomogram, and it is also a relatively fast way to publish articles.