A bad prognosis means there is little chance for recovery. Someone with a good or excellent prognosis is probably going to get better.
Factors that predict a better outcome are called 'good' or 'favorable' prognostic factors. Those that predict for worse outcomes are called 'poor' prognostic factors.
A prognosis may be described as excellent, good, fair, poor, or even hopeless. Prognosis for a disease or condition is largely dependent on the risk factors and indicators that are present in the patient.
Listen to pronunciation. (prog-NO-sis) The likely outcome or course of a disease; the chance of recovery or recurrence.
A favorable prognosis means a good chance of treatment success. For example, the overall 5-year relative survival rate for testicular cancer is 95%. This means that most men diagnosed with the disease have a favorable prognosis. Prognosis depends on the stage of the cancer at diagnosis.
A bad prognosis means there is little chance for recovery. Someone with a good or excellent prognosis is probably going to get better.
To be clear, the prognosis comes after the diagnosis; a diagnosis precedes a prognosis. After the session, the psychiatrist gave a diagnosis of ADHD. The doctor's prognosis was promising.
Q: How does a doctor determine a patient's prognosis? Dr. Byock: Doctors typically estimate a patient's likelihood of being cured, their extent of functional recovery, and their life expectancy by looking at studies of groups of people with the same or similar diagnosis.
More specifically, in end-of-life care, the term “prognosis” usually means how long a patient has to live. A prognosis is an educated guess. Medical science can only estimate length of life based on how a particular disease has affected many people in the past.
Classically, prognosis is defined as a forecast or prediction. Medically, prognosis may be defined as the prospect of recovering from injury or disease, or a prediction or forecast of the course and outcome of a medical condition. As such, prognosis may vary according to injury, disease, age, sex, race and treatment.
The prognostic score, formalized by Hansen [5], is defined as the predicted outcome under the control condition, reflecting baseline “risk.” It is estimated by fitting a model of the outcome in the control group and then using that model to obtain predictions of the outcome under the control condition for all ...
For example, in the instance of cancer, tumor grade at the time of histological examination is considered to be a prognostic factor because it is frequently associated with the time to death or disease recurrence.
(prog-NOS-tik FAK-ter) A situation or condition, or a characteristic of a patient, that can be used to estimate the chance of recovery from a disease or the chance of the disease recurring (coming back).
So doctors use the following factors to help them estimate a prognosis for early and advanced HL. These factors are called unfavourable (adverse) risks because they mean there is a greater risk that the HL will come back (relapse) after it is treated.
Fair: This prognosis would indicate that a person may have some response to treatment, but that their condition will likely have a notable impact on their life and ability to function. Poor: This indicates that their condition is unlikely to improve and that their quality of life will be significantly affected.
A “guarded” prognosis is when the person formulating the opinion simply does not have enough information to know or to foretell what the outcome may be.
The Prognosis in Palliative care Scales (PiPS) are prognostic models of survival. The scores are calculated using simple clinical data and observations. There are two separate PiPS models; PiPS-A for patients without blood test results and PiPS-B for patients with blood test results.
Prognosis plays a vital role in patient management and decision making. The assessment of prognostic factors, which relate baseline clinical and experimental covariables to outcomes, is one of the major objectives in clinical research.
In one study involving patients in Chicago hospice programs, doctors got the prognosis right only about 20 percent of the time, and 63 percent of the time overestimated their patients' survival. Interestingly, the longer the duration of the doctor-patient relationship, the less accurate was the prognosis.
Physicians are often able to formulate a reasonable prognosis or range of possible outcomes that can bring the patient's understanding closer to the truth. Strikingly, physicians give the least honest figures to those with the worst prognoses (and perhaps most in need of information to make decisions).
Conversely, patients with poor prognoses may opt for palliative treatment that will alleviate side effects and improve quality of life [1, 2]. In addition, prognosis is not static and may change as a result of treatments received or disease progression [2–4].
Many have fulminated against oncologists who lie to patients about their prognoses, but sometimes cancer doctors lie for or with patients to improve our chances of survival. Here's the back story in this case. The patient, a woman in her early 50s, was given a diagnosis of endometrial cancer.