Open Access Articles- Top Results for Prognosis
International Journal of Innovative Research in Computer and Communication EngineeringPrognosis of Failed Back Surgery Syndrome Based On Feature Extraction Method
Hereditary Genetics: Current ResearchMicroRNA 21 Expression Levels in HIV Negative and HIV Positive Diffuse Large B Cell Lymphoma
Immunome ResearchTherapeutic Effect of Oral CF101 in Patients with Rheumatoid Arthritis: A Randomized, Double-blind, Placebo-controlled Phase II Study
Journal of Nuclear Medicine & Radiation TherapyAssessment of Sorafenib and AntiVEGF Combination Therapy Response which Added to Neoadjuvant Therapy in two Pediatric Metastatic Ewing Sarcoma Patient
Journal of Clinical & Cellular ImmunologyDual Role of Inflammation in Prognosis and Prevention of Tuberculosis
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Prognosis (Greek πρόγνωσις "fore-knowing, foreseeing") is a medical term for predicting the likely outcome of one's current standing. When applied to large statistical populations, prognostic estimates can be very accurate: for example the statement "45% of patients with severe septic shock will die within 28 days" can be made with some confidence, because previous research found that this proportion of patients died. However, it is much harder to translate this into a prognosis for an individual patient: additional information is needed to determine whether a patient belongs to the 45% who will die, or to the 55% who survive.
A complete prognosis includes the expected duration, the function, and a description of the course of the disease, such as progressive decline, intermittent crisis, or sudden, unpredictable crisis.
Disease and prognostic indicators
Prognostic scoring is also used for cancer outcome predictions. A Manchester score is an indicator of prognosis in small-cell lung cancer. For Non-Hodgkin lymphoma, physicians have developed the International Prognostic Index to predict patient outcome.
End of life
Medical studies have demonstrated that most doctors are overly optimistic when giving prognostic information, that is, they tend to overstate how long a patient might live. For patients who are critically ill, particularly those in an intensive care unit, there are numerical prognostic scoring systems that are more accurate. The most famous of these is the APACHE II scale. However, this scale is most accurate when applied in the seven days prior to a patient's predicted death.
Knowing the prognosis helps determine whether it makes more sense to attempt certain treatments or to withhold them, and thus plays an important role in end-of-life decisions.
Estimators that are commonly used to describe prognoses include:
- Progression-free survival - the length of time during and after medication or treatment during which the disease being treated (usually cancer) does not get worse.
- Survival rate - indicating the percentage of people in a study or treatment group who are alive for a given period of time after diagnosis.
- Survival time - the remaining duration of life. If not otherwise specified, it generally starts from the time of diagnosis.
One of the earliest written works of medicine is the Book of Prognostics of Hippocrates, written around 400 BC. This work opens with the following statement: "It appears to me a most excellent thing for the physician to cultivate Prognosis; for by foreseeing and foretelling, in the presence of the sick, the present, the past, and the future, and explaining the omissions which patients have been guilty of, he will be the more readily believed to be acquainted with the circumstances of the sick; so that men will have confidence to intrust themselves to such a physician."
For 19th century physicians, particularly those following the French school of medicine, the main aim of medicine was not to cure disease, but rather to give a medical diagnosis and achieve a satisfying prognosis of the patient's chances. Only several decades later did the focus of efforts in Western medicine shift to curing disease. Outside of the medical realm, the term 'prognosis' is used in the sense of forecasting trends about an approaching period.
- Optimism bias
- Placebo (origins of technical term)
- Reference class forecasting
- Sign (medicine)
- Thought experiment
- Gould, SJ, The Median Isn't the Message, retrieved 1 November 2014
- Tembarai Krishnamachari, Rajesh. "Economic and geo-political prognosis for 2015", a sample forecasting report published by the non-profit think-tank South Asia Analysis Group, Paper 5856, Jan 2015.