Philosophy of Medicine Midterm Flashcards

1
Q

What is it that the physicians and researchers were debating when discussing the COVID drug wars?

A

They debated what the best approach was when providing drugs to treat COVID patients. There was one group of physicians that wanted to try drugs that are hypothesized to be effective for COVID patients but haven’t been tested by an RCT, and there was one group that wanted to conduct an RCT before administering a drug.

In one case, a physician wanted to give an anticoagulant to a patient who had cardiac arrest from COVID, but the patient was enrolled in research determining if an anticoagulant works better than a normal dose. There was a debate since the physician wanted to take the patient out of research and give a higher dose while the researchers wanted to test the efficacy before giving a higher dose

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2
Q

Why are RCTs considered the gold standard in medicine?

A

They are defended as being the least likely to yield biased results since double blind studies avoid selection bias, set standards of significance, can distinguish placebo from other specific medication effects, avoid salience which is when clinicians bias outcomes by choosing patients based on prior assumptions about the effectiveness of a treatment

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3
Q

Are there circumstances where an RCT may not be warranted? What are parachute cases?

A

In circumstances where not treating a patient may lead to serious consequences such as disability or death (parachute cases) or if there is a global crisis and health care facilities are overwhelmed by the number of ill patients, such as COVID, it may be necessary for physicians to make judgment calls prescribing patients drugs that may not always have gone through rigorous scientific testing via RCTs or may not completely fit with hospital protocols.

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4
Q

RCTs were deemed to be important due to the onset of a movement valuing evidence based medicine. What are some criticisms of evidence based medicine that may underscore the necessity of RCTs?

A

EBM may overlook the role of clinical experience, expert judgment from physicians, medical authority, variability between patients, the need for individualized treatment, patient goals, health care constraints, and medical theory that links causal relationships for different conditions

More criticisms of RCTs in particular are that they are not fast science and difficult to carry out ethically in all cases, a significant percentage of studies fail to replicate, there have been many medical reversals, and studies funded by pharmaceutical companies by and large have a much higher chance of demonstrating a positive effect. They may also be subject to confirmation bias, funding bias, self-selection bias where an individual may self-select into a group where shared characteristics may be present and bias results, and data-fishing bias where data analysis is misused

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5
Q

GRADE ranking system

A

Classifies quality of evidence. High quality is when further research is unlikely to change confidence of the estimate of an effect. Moderate quality is when further research is likely to have an important impact on our confidence in the estimate of effect or may change the estimate. Low quality is when further research is likely to have an important effect on the confidence in the estimate of an effect and is likely to change it. Very low quality is when any estimate of an effect is uncertain.

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6
Q

What is Boorse’s argument?

A

He argues that disease is a disruption of natural functions where these functions play a role in survival and reproductive success. Since somatic diseases require physical functions there must also be mental functions. Certain mental functions seem to perform universal functions in human behavior and contribute to survival and reproductive success such as perception and memory. He therefore offers a definition of disease where he argues that if there are any mental diseases, they must disrupt this process

He also argues that the criteria for identifying a condition as a mental illness either affirms societal values, abstracts from diagnostic cases, or involves social judgment so if there is a mental illness conditions must be disruptions to normal functions of mind, and none of these conditions are provided in mental health literature. Therefore, the criteria for mental health that is provided in most literature is unsatisfactory.

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7
Q

What is Boorse’s naturalist account of disease?

A

Disease is a deviation from species-typical function. Whether or not something counts as a disease is independent of whether or not people value or disvalue it. A trait is functional if it is species-typical and contributes to survival and reproduction. Whether or not a trait has a function depends exclusively on its consequences.

He argues that diseases are deviations from species design and their recognition is a matter of natural science rather than an evaluative decision. Science is therefore purely based on physiology rather than biology

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8
Q

Why is Boorse considered a philosopher and why is he different from social scientists?

A

Social scientists are usually concerned with how different cultures and societies use a term. They do not stipulate or explicate it, but rather they describe it. Boorse, however, is more concerned with explication or providing a definition, and he offers a definition that retains the central use of the term disease but makes the definition more precise

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9
Q

How does Boorse argue his view?

A
  • He first argues that previous discussions of health have failed
  • He then points out what is distinctive about his method and introduces important distinctions that ought to be granted
  • He then gives his positive account of what should be considered a disease
  • Fourth, he considers the advantages and disadvantages of his view
  • Then finally, he uses analysis to explain and describe why positive accounts of health seem value laden and how we can retain the idea of health as an absence of disease
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10
Q

How can we construe the question of whether or not diseases are real

A

Whether diseases are independently existing external entities (nominalism vs universals)

Whether disease taxonomy is artificial or natural (are disease classifications real/distinct in nature)

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11
Q

Different views on disease

A

Hybrid view: Disease ascriptions require both functional and normative judgements

Normativist: Disease ascriptions are normative and purely based on value judgements rather than dysfunction

Naturalist: Disease ascriptions only require an assessment of function. According to Boorse, a healthy physiological function has to be species-typical and contribute to survival and reproduction

Eliminativist: Disease ascriptions ought to be done away with since we can simply describe physiology and then make normative judgements. No evidence of “dysfunction” is required.

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12
Q

What is Stegenga’s main argument?

A

He argued that either the neutral view where health is the absence of disease and the positive view and the positive view where health is over and above the absence of disease is inconsistent

Or that we can use the term health in two paradigmatic ways where “health” is only used as a contrast to disease or it refers to an ideal or achievement over and above merely eliminating disease. In this case, we have to ensure health is not used equivocally

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13
Q

Are objectivism, subjectivism, naturalism, and normativism mutually exclusive?

A

Objectivism and naturalism tend to overlap since both posit that health depends on natural facts that can be determined objectively

Normativism and subjectivism tend to overlap since both posit that health depends on values that are either societal or held by the subject

In health care practice, hybrid views tend to be taken into consideration since a judgment of whether or not something is healthy involves a combination of “natural” indicators of dysfunction and normative judgements, such as impairment or undesirability. Objective factors such as test results or x-rays/screenings along with subjective factors such as the patient’s experience with a condition are also generally taken into consideration before a condition is determined to be a disease.

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14
Q

How do Lila and Elena reflect the two accounts of health?

A

Elena has a better quality and satisfaction of life while Lila is more dissatisfied. According to the neutral view on health, both are equally health since neither has any objective indicators of dysfunction

According to the positive view on health, Elena is more healthy than Lila since Elena has a better well-being and is less stressed. The positive view on health posits that there is no upper limit to a healthy state and well-being should be considered when considering health

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15
Q

Why would someone reject subjectivism? Give examples

A

One’s subjective experience with a condition may not always correlate with more “objective” indicators of disease such as the presence of sufficient nutrients. The subjectivist view posits that a person is healthy if they believe that they are, but a monk believes himself to be healthy even though he is lacking in nutrients, starving himself, and compromising his survival through his fasting. The naturalistic, objectivist view would reject this since this view would argue that compromising potential survival means compromising health, so we should regard the monk as unhealthy and the subjectivist assessment is flawed.

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16
Q

What rationale did the AMA offer for classifying obesity as a disease?

A

The AMA believed that recognizing obesity as a disease will help change the way the medical community tackles it. They also believed that it would reduce the incidence of cardiovascular disease and type 2 diabetes and communicate the risk to long term health

May promote/enable coverage for dieticians, medications, and surgery

May reduce stigma

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17
Q

Why was there opposition?

A

It was argued that there was a lack of a clear definition of what constitutes a disease and whether obesity fits criteria

BMI is not a suitable measure of overall health nor a good clinical measure

Economically disadvantaged people are disproportionately targeted

It may lead to worse outcomes since diets can lead to swings in weight

Overweight is not always harmful

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18
Q

Is obesity really a disease? Are there any benefits?

A

Hip fracture risk in postmenopausal women reduces with increasing BMI and overweight and class I obese individuals have a lower mortality risk than those with normal weight. Obese individuals also have a lower mortality than normal weight individuals for a range of diseases (cardiac failure, coronary syndromes, chronic kidney disease, etc)

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19
Q

What are four ways of going “wrong?”

A

Dysfunction where a biological structure is unable to fulfill the causal role for which it has been selected in the evolutionary past

Abnormal environment where a given mechanism is operating in accordance with its design but outside the operating parameters for that design

Heuristic failure where developmental trajectories initiated in the setting of imperfect information leads to a non-ideal state

Normal but inhospitable environment

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20
Q

What is the normativist vs naturalist view? What justifies taking a biological norm to be “natural?”

A

Normativist view posits that all judgements of health are value laden and the naturalist view posits that health is a purely natural category

A biological norm may be natural if there is projectability, shared evolutionary history, shared causal/physical realization/constitution, and shared mechanistic organization. If it “keeps with species design”

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21
Q

What is Greene’s goal?

A

To tell a story of the role pharmaceuticals have played in medical knowledge, disease categorization, rise of a risk factor, transformation of the risk thresholds for chronic conditions, a practice of medicine and biomedical science, relationships between science and business/insurance companies/regulatory bodies, and the creation of profit

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22
Q

What does he argue?

A

He documents the history of three drugs (Diuril, Orinase, and Mecavor) for high blood pressure, diabetes, and high cholesterol. He explains the science between how these drugs work, the marketing of drugs, the transformation of research surrounding drug discovery/development, the transformation of medicine, and the economics/politics of pharma-policy interface

He ultimately argues that medicine shifted. Treatments used to only be used for specific diseases now they’re used to encompass broader populations who may have risk factors but no immediate symptoms. There can also be a cycle where drugs can expand disease categories and enlarge markets where risk factors can be “transformed” into treatable conditions

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23
Q

What is Greene’s argument about the epidemiological shift regarding treatments?

A

He argued that the epidemiological shift was not simply a shift to better science and pharmaceuticals played a more central and active role in the newfound definitions of disease categories. The social histories behind new categorization and epidemiological shifts are more complex than just a shift in the way diseases are studied

Rather than an epidemiological transition where it was posited that the study of chronic diseases led to more discovery and preceded the inquiry into drugs to treat risk factors rather than diseases, he posited that a therapeutic transition occurred. He thought that the inquiry into drugs shaped the knowledge and understanding of which risk factors shape chronic disease and our very conception of disease. Rather than thinking of disease as overt symptoms we think of people who are at risk as diseased

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24
Q

Did Greene singlehandedly blame pharmaceuticals for this therapeutic transition?

A

No, he believed that this transition where pharmaceutical prevention was popularized cannot be reduced simply to a marketing effort or carefully planned medicalization where artificial disease categories were generated in order to make healthy Americans into drug consumers

He believes that argument overestimates the power of the pharmaceutical industry and minimizes the investment in scientific inquiry. He believes the term medicalization was a paranoid polemic and describes an omnipotent medical profession that expands its province over the healthy

25
Q

Who opposed Greene’s argument?

A

Some of his opponents believed that there were corporate incentives behind the new wave of treatments focusing on providing pharmaceutical treatments for risk factor diseases

Others believed that the drugs that were discovered during this period were revolutionary and spoke to a story of drug discovery and disease conquest.

A lot are in the middle and believe pharmaceuticals were neither groundbreaking nor damaging and driven by aims to make healthy Americans into drug consumers but something in between

26
Q

What do cholesterol and statins tell us about the ways market forces shape how we classify risk factors?

A

Cholesterol was identified as one of several risk factors for heart disease and there was a corporate payout, but actors failed to demonstrate a causal link between cholesterol and heart disease. However, there were still claims made despite a lack of decisive evidence and eventually the FDA approved the first statins with evidence it reduces cholesterol. By 2000, up to 90% of the US was defined as eligible for treatment with statins. This suggests that what we count as risky enough to warrant preventative care for a disease is shaped by market forces

27
Q

What is the main question regarding when to screen for disease and why is this controversial?

A

At what level of sensitivity, specificity, and cost is reasonable and acceptable to screen for disease? For women between the age of 40 and 49, the false positive rate for breast cancer is relatively high since there is a low prevalence of disease meaning false positives are more likely, but as the risk of breast cancer increases, the benefits of mammography increase and the harms become less significant

Over 10 years, 3568 will have normal results all 10 years, 6310 will have at least one false positive during the 10 years, 302 will be diagnosed as having breast cancer

28
Q

What does 95% sensitive and 95% specific mean

A

95% sensitive means 95% of disease is identified by a test. 95% specific means 95% of positive tests are due to disease

29
Q

What is Welch and Black’s Argument?

A

If we assume cancer rates are fairly constant over a 20-30 year period, if a screening regimen is instituted starting at a younger age, more cancers will be caught earlier and this should be offset by a decrease in cancers caught in later dates and more cancers being detected/treated. There should therefore also be a decrease in cancer deaths following diagnosis but this is not observed. Instead, extra “catch-up” cancers that developed after screening were observed in both control and mammography groups

In some age groups, most women with a positive mammogram do not have cancer, particularly at ages 40-50

30
Q

What is the solution posited in the Quanstrum article?

A

He posited that for most treatments, there should be two distinct thresholds for intervention rather than one single universal threshold. Above which a benefit clearly outweighs a risk and below which concern about harm dominates. There is also a space in between these thresholds where an intervention could help or harm a patient, and these cases would require more individualized decision making based on preferences/risk factors. They argue a change is needed

31
Q

Incidence

A

number of new cases diagnosed in a given population for a specific time frame

32
Q

High sensitive tests

A

detects all the disease at the expense of a lot of false positives, and this is good if the cost of missing a disease is high and the false positive cost is low (COVID)

Sensitivity: Probability a test will indicate disease among those with a disease (true positive)/(true positive + false negative) * 100%

33
Q

Highly specific tests

A

have few false positives but may miss some of the disease. Good if you are screening for a condition that is more uncommon and serious but treatable where the cost of false positives overwhelm the advantage of finding a disease since you don’t want to be reassured you don’t have a condition you have (cancer/AIDS)

Specificity: Fraction of those without a disease who have a negative test result (true negative)/(true negative + false positive) * 100%

34
Q

Positive predictive value

A

Chances of having a disease given a test result is positive. This is high for a high prevalence disease and lower for a low prevalence disease

35
Q

Prevalence

A

Proportion of people in a defined population at a given point in time with the condition. This can greatly vary the performance of the screening test

36
Q

What statistics are good to know when assessing the efficacy of a test? Especially when looking at breast cancer?

A

The rates of false positives and negatives. The sensitivity (probability a positive result will indicate disease). If this value is low PPV may be lower since there may be a lot of false positives) and specificity (probability a negative result will indicate no disease). PPV (probability you have a disease given a positive test result so how accurate a test is). Prevalence (PPV tends to be lower if disease is not as prevalent, even if test has high sensitivity/specificity)

Since there is a low prevalence of breast cancer, most women who screened positive did not have it since a low prevalence meant many false positives were yielded

37
Q

How might the prescription of treatments be biased

A

Surgical treatments and other kinds of prescription treatments may be based on habit and not always evidence. In addition, treatment administration may be susceptible to the manipulation of desires due to ads since they may contribute to a climate of anxiety and concern

38
Q

What were some issues with statistics and transparency observed?

A

Medical journals largely don’t provide transparent health statistics

Pamphlets tend to focus on relative risk, a lack of transparent data, and information about potential harms of a treatment may be lacking

Political institutions may encourage check ups/screenings when routine screening is opposed by scientific evidence

39
Q

How should physicians use statistics to inform treatment?

A

Physicians have to rely on personal experience, skill, and sometimes intuition (artist). They may be resistant to the use of statistics since homogeneity among patients may be encouraged when care should be individualized. Patients outside of a statistical norm shouldn’t be condemned to death since patients have to trust their physicians (paternalism)

They should also avoid the illusion of certainty and making deterministic claims since there is a large amount of variation between patients

40
Q

What are kinds and essences

A

This means kinds have a shared “constitutive” basis (common physical makeup) or “causal” basis (common cause). Species can be thought of as biological kinds or historical kinds where their existence/behavior is not unchanging or universal and they are a product of historically contingent events

This could also be the case for diseases since they are the product of historically and culturally changing events, but does this mean they are less “natural?”

Social kinds such as shared belief systems could also be present. They function as kinds and license predictions about social roles, behaviors, beliefs, etc. Membership in a group such as being a libertarian could be thought of as similar to a kind

41
Q

What are features of natural kinds in the context of disease?

A

Shared causal basis, shared pathophysiology/constitutive basis, shared symptoms

42
Q

What determines a causal basis?

A

Sufficiency theories: a cause is sufficient for some effect

INUS conditions: insufficient but non-redundant parts of a condition which is itself unnecessary but it is sufficient for the occurrence of an effect (may be broad but good for determining risk factors)

Probability theories: a cause increases the probability of the effect coming about. This may not always be easily determined

43
Q

What is the social constructivist vs naturalist view of disease?

A

Social constructivist posits that all diseases are social categories and naturalist view posits that diseases are all and only natural categories

Diseases may be “natural” due to common causes, common symptoms, and common pathophysiology, but they may also be socially constructed due to cultural/historical changes or self-concepts that can occur from classification

44
Q

What is the difference between metaphysics and pragmatics?

A

Metaphysics involves identifying true categories in nature such as chemical elements, species, diseases. Pragmatics means classifications are in service of documenting patterns, discovering generalizations, generating predictions about X, Y, and Z and explanations, validating individual experience, ensuring appropriate care

45
Q

Anti-realism vs Realism

A

Anti-realism posits that all categories are human categories while realism posits that some categories are real and some are not, and structure, cause, shared history, etc can make something real in nature

Realists believe the classification of natural kinds is human independent and underwrites the reliability of scientific/inferential practices. There is a belief that there is one correct classification of natural kinds in nature and their properties are explained through common microstructure or causal basis

46
Q

What are Neo-Krapelian views on psychiatry?

A

Believes that psychiatry is a branch of medicine and should base its practice on scientific/biological knowledge. The causes, diagnoses, and treatments of distinct mental illnesses should be investigated, there should be focus on the biological aspects of mental illness, and diagnostic criteria should be codified

47
Q

What was Spizer’s conclusion on the classification of homosexuality as a mental illness?

A

He observed that homosexuality was different from other psychiatric disorders and observed that is was accompanied by neither distress nor an impairment of social functioning. Believed it was too broad to classify it as a mental disorder just because it was suboptimal

48
Q

What are Hacking’s principles of kindhood?

A

Independence: where kindness is a fact of nature independent of psychological/social facts about human beings

Definability: where characterizations can be devised and a natural kind can be determined based on characteristics even if a precise definition is not present

Utility: the recognition and use of kinds plays a role in the growth of human knowledge

Uniqueness: there is a unique, best taxonomy in natural kinds that represents nature as it is and reflects the network of causal laws. Objective classifications can either be right or wrong since there is one true taxonomy of the universe. But there is debate since there may be adequate classifications of the same thing

49
Q

What is essentialism when looking at race?

A

In the case of race “racialism” posits that racial groups share properties belonging to them are often intellectual, psychological, and not only physical traits

50
Q

What is kindness when looking at race?

A

Modest realism about race which posits that traits cluster but there are no features belonging all and only to one group since traits are overlapping. Looping effects may also play an important causal role

51
Q

How is race relevant in medicine?

A

It is useful for diagnosis which is predicting when and how often a patient is at risk for a disease, prognosis when predicting how likely a patient’s disease will progress quickly, slowly, or not at all, and treatment which is the prediction of how a patient will respond to various drugs

It can be used as a proxy for diagnosis/prognosis similar to other factors such as family history, lifestyle, comorbidities, and biological profile. Many authors believe using race to inform practice is useful for tracking the health effects of racism even though phylogenetic and population genetic methods do not support a biological classification of race

52
Q

What do eliminativists argue about race?

A

They argue that race as a concept should be eliminated from medicine since there was never such a thing as a biological race difference, ethnicity/ancestry are imprecise and do not reliably track a biological difference, and they are highly variable in what they are referring to since social, political, and institutional changes occur and race changes across contexts

53
Q

What is the point of contention when it comes to race in medicine?

A

It is contested whether racial classification represents genetic clusters and if genetic clustered are representative of medically relevant genetic variation. Some genetic differences may be correlated with race but racism/racial disparities explain more significant differences in the health outcomes of racial groups

Epistemic injustice may occur since ill people are sometimes regarded as cognitively unreliable and unstable with rendering their testimonies when it comes to personal health

54
Q

What are some examples of disparate treatment between races in medicine?

A
  • Black children were less likely than white children to receive antibiotics
  • Black people with peripheral arterial disease were 77% more likely to have the limb amputated that white people
  • Black men were significantly less likely to be recommended for coronary bypass surgery than white men
  • Medical students recommended antiviral drug treatments less for black patients than white patients
  • Physicans are likely to underestimate the intensity of pain in Black people relative to other groups
  • Physicians also often prescribe lower levels of pain meds for black than white patients
55
Q

What did Rosenberg et al find?

A

Most genetic variation is found within racial groups, but it is still possible to cluster groups by race using shared genetic variants. However, it is possible to cluster any groups using shared variants

56
Q

What is Yudell’s argument about race?

A

Yudell posits that how people self-identify may not always track ancestry, and this may lead to poor science and/or dangerous confusion over appropriate health benchmarks. This can also lead to dangerous assumptions, such as sickle cell being identified as a “black” disease, thalassemia as a “Mediterranean” disease, and cystic fibrosis is likely underdiagnosed in black populations

57
Q

What are some objections on the data correlating genetic clusters and racial groups?

A

Mismatch objection: where a high correlation was observed is south asians were excluded since asian is partial and primary genomic ancestry of south asians is caucasian

Reification objection: where a sample is stacked with unmixed and genetically isolated groups. If cosmopolitan groups are included, strong correlations would not be observed

It is not clear that the differences in continental populations are where the most genetic differences exist, there may be more differences within ethnic groups

Heterogeneity (diversity) occurs within continental groups

Diachronic mismatch objection: correlations are not always stable enough through time to be useful

58
Q

What is Spencer’s Argument for why racial classification is useful in medicine

A

Argues that there is a set of 1997 OMB races which is identical with human continental populations, there are medically relevant genetic differences among these continental populations, and therefore there is a racial classification that is useful in medicine