Purpose of investigation: Difference between revisions
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Consider that many laboratories can analyse a pharyngeal swab for specific airway viruses. Would making such an investigation in this case change the management of the patient? In most cases no, as there is no specific treatment for most airway viruses anyway. | Consider that many laboratories can analyse a pharyngeal swab for specific airway viruses. Would making such an investigation in this case change the management of the patient? In most cases no, as there is no specific treatment for most airway viruses anyway. | ||
== Diagnosis == | == Diagnosis == | ||
When an investigation is ordered for diagnosis, one should already have a list of differential diagnoses before ordering the test, and the test should be able to narrow down the list of differential diagnoses. It's important to consider the test's specificity, sensitivity, positive predictive value, and negative predictive value in this. There is no reason to perform an investigation if it doesn't help narrow down the number of differential diagnoses. | When an investigation is ordered for diagnosis, one should already have a list of differential diagnoses before ordering the test, and the test should be able to narrow down the list of differential diagnoses. It's important to consider the test's [[specificity]], [[sensitivity]], [[positive predictive value]], and [[negative predictive value]] in this. There is no reason to perform an investigation if it doesn't help narrow down the number of differential diagnoses or doesn't validate your tentative diagnosis. | ||
This article leans heavily on statistical terms like probability and thresholds. In real-life, the exact probability and thresholds cannot be known in most circumstances. Instead, we think of these factors in approximate terms based not on statistical analysis but our own experience and knowledge. | |||
=== Approach to diagnosis === | === Approach to diagnosis === | ||
When a patient is presented with symptoms or clinical findings, one should formulate a list of differential diagnoses which could be underlying. Often, this is not a conscious process but rather an unconscious one | When a patient is presented with symptoms or clinical findings, one should formulate a list of differential diagnoses which could be underlying. Often, this is not a conscious process but rather an unconscious one. | ||
The model "a safe diagnostic strategy", made by professor John Murtagh, involves five questions one should ask themselves during patient presentations: | The model "a safe diagnostic strategy", made by professor John Murtagh, involves five questions one should ask themselves during patient presentations: | ||
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=== Considering test sensitivity === | === Considering test sensitivity === | ||
Using a test with low sensitivity for the diagnosis of a disorder can lack value. Consider, for example, a rib fracture. One might think that a rib fracture should be evaluated with a radiograph, as most fractures are. However, a radiograph has very low sensitivity for rib fracture (60%), and so 40% of people with rib fracture will have no findings on an x-ray. Knowing this, you could not trust a negative radiograph to rule out rib fracture, and so it is not recommended for the evaluation of this disorder. | Using a test with low sensitivity for the diagnosis of a disorder can lack value. Consider, for example, a rib fracture. One might think that a rib fracture should be evaluated with a radiograph, as most fractures are evaluated. However, a radiograph has very low sensitivity for rib fracture (60%), and so 40% of people with rib fracture will have no findings on an x-ray. Knowing this, you could not trust a negative radiograph to rule out rib fracture, and so it is not recommended for the evaluation of this disorder. | ||
=== Considering how pre-test probability changes the test characteristics === | === Considering how pre-test probability changes the test characteristics === | ||
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The more severe the suspected disorder is, the lower the pre-test probability needs to be before one should consider testing for it. This is because the consequences of missing a diagnosis is more severe, so the disadvantages of the test are weighed up for. | The more severe the suspected disorder is, the lower the pre-test probability needs to be before one should consider testing for it. This is because the consequences of missing a diagnosis is more severe, so the disadvantages of the test are weighed up for. | ||
For example, one would not test every person with a sore throat for [[streptococcal tonsillitis]], only if the pre-test probability is sufficiently high, usually more than 30%, as determined by a Centor score of 3 or more. However, one would test every person with significant microscopic haematuria for bladder cancer, despite a pre-test probability of only 5% (only 5% of people with significant microscopic haematuria have bladder cancer). | For example, one would not test every person with a sore throat for [[streptococcal tonsillitis]], only if the pre-test probability is sufficiently high, usually more than 30%, as determined by a Centor score of 3 or more. However, one would test every person with significant microscopic haematuria for [[bladder cancer]] (usually by [[cystoscopy]]), despite a pre-test probability of only 5% (only 5% of people with significant microscopic haematuria have bladder cancer). | ||
=== Considering the treatment threshold === | |||
The treatment threshold is a theoretical level of disease probability (pre-test or post-test) where the disease is so likely that you would consider treatment to be indicated. Another way to think of it is "at what degree of disease uncertainty am I comfortable with initiating treatment?". | |||
The treatment threshold is low if the treatment is harmless for healthy people and very efficacious for people with the assumed disease, for example [[Antihistamine|antihistamines]] in suspected [[allergic rhinitis]]. | |||
The treatment threshold is high if the treatment is harmful for healthy people ''or'' it is not very efficacious for people with the disease. This can occur for example in case of cancer (where treatment is very harmful, so the disease probability should be close to 100% before considering treatment) or in case of bacterial infections which are usually uncomplicated and self-limiting (like uncomplicated [[acute otitis media]] or [[acute sinusitis]]). | |||
If, based on the clinical findings, you find the pre-test probability to be sufficiently high that even a negative test will yield a post-test probability higher than the treatment threshold, testing does not influence the outcome, and so testing is unnecessary. | |||
Alternatively, if you find the pre-test probability to be so low that despite a positive test the post-test probability remains lower than the treatment threshold, testing also does not influence the outcome, and so testing is unnecessary in this case as well. An example of this can be if a patient has a sore throat but you find no evidence of streptococcal tonsillitis, in which case even a positive rapid strep test won't make the diagnosis of streptococcal tonsillitis high enough that you would consider antibiotics. | |||
== Follow-up and monitoring == | == Follow-up and monitoring == | ||
Follow-up and monitoring of a disorder is also a common use of laboratory and imaging investigations. Examples include: | Follow-up and monitoring of a disorder is also a common use of laboratory and imaging investigations. Examples include: | ||
* Serial CRP or leukocyte count following antibiotic prescription to evaluate the treatment response | * Serial [[CRP]] or [[leukocyte]] count following [[antibiotic]] prescription to evaluate the treatment response | ||
* Serial plasma sodium measurement following fluid restriction in assumed SIADH | * Serial plasma [[sodium]] measurement following fluid restriction in assumed [[SIADH]] | ||
* Yearly brain MRI following removal of a meningeoma, to try and catch a recurrence early, before it causes symptoms | * Yearly brain [[MRI]] following removal of a [[meningeoma]], to try and catch a recurrence early, before it causes symptoms | ||
However, it's important to keep in mind the requirement of value for the patient. In the first scenario, there is value as a lack of normalisation of inflammatory parametres in a patient treated with antibiotic for a bacterial infection may be a sign that the antibiotic is ineffective, which may require administration of a different antibiotic. In the | However, it's important to keep in mind the requirement of value for the patient. In the first scenario, there is value as a lack of normalisation of inflammatory parametres in a patient treated with antibiotic for a bacterial infection may be a sign that the antibiotic is ineffective, which may require administration of a different antibiotic. In the third scenario, there is also value, as the earlier one can catch recurrence of a meningeoma, the better the prognosis after treatment. However, if the patient is in a condition where they will not receive treatment anyway (for example, if they are preterminal), monitoring is not of value to the patient. | ||
== Evaluation of prognosis == | == Evaluation of prognosis == | ||
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* [https://www.bmj.com/content/351/bmj.h5552 Explaining laboratory test results to patients: what the clinician needs to know] | * [https://www.bmj.com/content/351/bmj.h5552 Explaining laboratory test results to patients: what the clinician needs to know] | ||
[[Category:Radiology]] | <noinclude>[[Category:Radiology]] | ||
[[Category:Laboratory Medicine]] | [[Category:Laboratory Medicine]] | ||
[[Category:Public Health]] | [[Category:Public Health]]</noinclude> |
Latest revision as of 11:58, 16 January 2024
When one orders a test (laboratory, imaging, or otherwise), it's important to have a predetermined purpose for the test and not just ordering tests willy-nilly. Tests are often invasive as well as time-consuming and expensive, and so they should be worth the risk, time, and expense. There is no point in ordering a test if the test result does not influence how you approach the patient.
Generally, investigations can be used for:
- Screening
- Diagnosis
- Follow-up/monitoring
- Monitoring progression/response to treatment
- Evaluation of prognosis
- Information regarding the likely outcome of the disease
Value to the patient
An investigation should have some form of value for the patient (except if done in a research setting or for epidemiological purpose, in which case the investigation has value for researchers, and in turn, future patients). The value to the patient should also weigh up for any negative consequences of the investigation.
Frail patients
Many frail patients, especially elderly, cannot or do not want to undergo certain tests or invasive procedures. Is there, for example, a point in evaluating a frail elderly person for cancer, if they do not want to or cannot undergo cancer treatment anyway? Take the following example:
A frail elderly patient living in an institution (like a nursing home) has a positive faecal occult blood test. The physician considers to refer them to colonoscopy, but stops to consider: how will a colonoscopy be of value to the patient? In their current state, even if the colonoscopy would show colorectal cancer, the patient would not be a candidate for any surgery or chemotherapy, so even if a diagnosis is made, nothing will change for the patient (except the stress of knowing they have cancer). In addition, colonoscopy is an invasive investigation which requires strict patient preparation, which can be difficult for a frail elderly to perform or even survive.
If they have colorectal cancer and it grows and eventually causes intestinal obstruction, colonoscopy may be indicated for stenting the bowel, in which case the colonoscopy would have value for the patient as palliative therapy. As such, one could note that the patient may have colorectal cancer, and only refer them to colonoscopy if intestinal obstruction is suspected at a later time.
One can also argue that even performing a faecal occult blood test in this case has no value for the patient, because the next step after a positive test would be a colonoscopy, a procedure which would not be of value to the patient anyway.
Patient management is the same regardless of test result
In some cases, it may be temping to order an investigation to gain more information, but it's important to consider whether that information is of value or not. Take the following example:
A young male has had lower back pain for a few days. The pain is not severe, and there are no red flags for cauda equina syndrome. He wants an MRI to know what's going on, but the physician stops to consider: how will an MRI be of value to the patient? The patient may or may not have a herniated disc, but even if they do, a herniated disc without red flags isn't an indication for surgery anyway. As such, whether the MRI shows a herniated disc or not, the management will be the same (no surgery, only physical therapy and pain relief), and the MRI is therefore of no value to the patient (and it is resource-intensive).
On the other hand, if the patient has debilitating pain or there are red flags present, he may have cauda equina syndrome, in which case surgery is indicated. In this case, MRI has value: it determines whether they need surgery or not.
Another example:
A middle aged woman has symptoms of an upper respiratory tract infection. After taking the anamnesis and physical examination, you're certain that it's a viral infection. You reflexively want to order a CRP or leukocyte count, but you stop to consider: will the laboratory investigation likely be of value to the patient? You know that viral URTIs only cause mildly elevated inflammatory parametres, so that's likely what you'll find anyway. And even if the CRP is higher than you expect, you're certain enough that this is not a bacterial infection, so you won't be administering antibiotics anyway. So even after making the investigation, you'll most likely not be changing your management of this patient; managing their symptoms and encouraging rest, without antibiotics.
On the other hand, if the patient has symptoms which make it difficult to distinguish between viral and bacterial infection clinically, a laboratory investingation is merited, as it provides additional information which can aid in the diagnosis and therefore the treatment in this case.
Consider that many laboratories can analyse a pharyngeal swab for specific airway viruses. Would making such an investigation in this case change the management of the patient? In most cases no, as there is no specific treatment for most airway viruses anyway.
Diagnosis
When an investigation is ordered for diagnosis, one should already have a list of differential diagnoses before ordering the test, and the test should be able to narrow down the list of differential diagnoses. It's important to consider the test's specificity, sensitivity, positive predictive value, and negative predictive value in this. There is no reason to perform an investigation if it doesn't help narrow down the number of differential diagnoses or doesn't validate your tentative diagnosis.
This article leans heavily on statistical terms like probability and thresholds. In real-life, the exact probability and thresholds cannot be known in most circumstances. Instead, we think of these factors in approximate terms based not on statistical analysis but our own experience and knowledge.
Approach to diagnosis
When a patient is presented with symptoms or clinical findings, one should formulate a list of differential diagnoses which could be underlying. Often, this is not a conscious process but rather an unconscious one.
The model "a safe diagnostic strategy", made by professor John Murtagh, involves five questions one should ask themselves during patient presentations:
- What is the list of differential diagnoses, and which ones are most likely?
- Which life-threatening or severe disorders are on the list of differential diagnoses that must not be missed?
- Or "are there any red flags?"
- Which disorders, which may present similarly, are usually overlooked?
- Or "are there any diagnostic pitfalls I must avoid here?"
- Could the patient have one of the "great imitator" disorders? (Syphilis, tuberculosis, Lyme disease, SLE, +++)
- Is the patient actually trying to tell me something else that I'm missing?
Using clinical findings and anamnesis to evaluate the pre-test probability
The probability of a person having a certain disorder depends on their symptoms and signs. For example, a person with sore throat and swollen tonsils with exudate have a much higher probability of having streptococcal tonsillitis than a person with sore throat but normal tonsils. Therefore, performing physical examination and taking a thorough anamnesis before considering whether to do a test is important. In some cases, a good physical examination and anamnesis may increase the pre-test probability to such an extent that the test becomes unnecessary.
For some disorders, researches have designed risk stratification tools which can help us determine the pre-test probability systematically. Examples are Wells criteria for DVT and PE, Centor criteria for streptococcal pharyngitis, Alvarado score for acute appendicitis, and CHA2DS2-VASc score for thromboembolism in atrial fibrillation. These scores can give us the estimated pre-test probability in percent; for example, a CHA2DS2-VASc score of 3 equals a risk of thromboembolism of approximately 4.6%.
Considering test sensitivity
Using a test with low sensitivity for the diagnosis of a disorder can lack value. Consider, for example, a rib fracture. One might think that a rib fracture should be evaluated with a radiograph, as most fractures are evaluated. However, a radiograph has very low sensitivity for rib fracture (60%), and so 40% of people with rib fracture will have no findings on an x-ray. Knowing this, you could not trust a negative radiograph to rule out rib fracture, and so it is not recommended for the evaluation of this disorder.
Considering how pre-test probability changes the test characteristics
Because positive and negative predictive values of a test depend on the pre-test probability, test may become more or less useful as the pre-test probability changes.
For example, a negative D-dimer has a high negative predictive value for VTE. However, negative predictive value decreases with increasing pre-test probability. A person with a high pre-test probability (Wells score for PE of 7 or more) have a 40+% pre-test probability of PE. If the patient has a high pre-test probability, determined by their Wells score, the patient no longer has the same pre-test probability as the general population (which is low). The negative predictive value decreases, which makes a negative D-dimer unsuitable for ruling out PE in a person with high pre-test probability. In other words, a patient with a high Wells score but a negative D-dimer still has a relatively high probability of having PE.
Considering pre-test probability and disease severity
The more severe the suspected disorder is, the lower the pre-test probability needs to be before one should consider testing for it. This is because the consequences of missing a diagnosis is more severe, so the disadvantages of the test are weighed up for.
For example, one would not test every person with a sore throat for streptococcal tonsillitis, only if the pre-test probability is sufficiently high, usually more than 30%, as determined by a Centor score of 3 or more. However, one would test every person with significant microscopic haematuria for bladder cancer (usually by cystoscopy), despite a pre-test probability of only 5% (only 5% of people with significant microscopic haematuria have bladder cancer).
Considering the treatment threshold
The treatment threshold is a theoretical level of disease probability (pre-test or post-test) where the disease is so likely that you would consider treatment to be indicated. Another way to think of it is "at what degree of disease uncertainty am I comfortable with initiating treatment?".
The treatment threshold is low if the treatment is harmless for healthy people and very efficacious for people with the assumed disease, for example antihistamines in suspected allergic rhinitis.
The treatment threshold is high if the treatment is harmful for healthy people or it is not very efficacious for people with the disease. This can occur for example in case of cancer (where treatment is very harmful, so the disease probability should be close to 100% before considering treatment) or in case of bacterial infections which are usually uncomplicated and self-limiting (like uncomplicated acute otitis media or acute sinusitis).
If, based on the clinical findings, you find the pre-test probability to be sufficiently high that even a negative test will yield a post-test probability higher than the treatment threshold, testing does not influence the outcome, and so testing is unnecessary.
Alternatively, if you find the pre-test probability to be so low that despite a positive test the post-test probability remains lower than the treatment threshold, testing also does not influence the outcome, and so testing is unnecessary in this case as well. An example of this can be if a patient has a sore throat but you find no evidence of streptococcal tonsillitis, in which case even a positive rapid strep test won't make the diagnosis of streptococcal tonsillitis high enough that you would consider antibiotics.
Follow-up and monitoring
Follow-up and monitoring of a disorder is also a common use of laboratory and imaging investigations. Examples include:
- Serial CRP or leukocyte count following antibiotic prescription to evaluate the treatment response
- Serial plasma sodium measurement following fluid restriction in assumed SIADH
- Yearly brain MRI following removal of a meningeoma, to try and catch a recurrence early, before it causes symptoms
However, it's important to keep in mind the requirement of value for the patient. In the first scenario, there is value as a lack of normalisation of inflammatory parametres in a patient treated with antibiotic for a bacterial infection may be a sign that the antibiotic is ineffective, which may require administration of a different antibiotic. In the third scenario, there is also value, as the earlier one can catch recurrence of a meningeoma, the better the prognosis after treatment. However, if the patient is in a condition where they will not receive treatment anyway (for example, if they are preterminal), monitoring is not of value to the patient.
Evaluation of prognosis
In some cases, performing an investigation even though it won't change patient management can be useful if it provides information on patient prognosis, for example the life expectancy. This is most common in case of patients with cancer.
External resources