A research consortium is studying a new vaccine for respiratory syncytial virus (RSV) in premature infants compared to the current standard of care. 1000 infants were randomized to either the new vaccine group or the standard of care group. In total, 520 receive the new vaccine and 480 receive the standard of care. Of those who receive the new vaccine, 13 contract RSV. Of those who received the standard of care, 30 contract RSV. Which of the following is the absolute risk reduction of this new vaccine?
Q12
BACKGROUND:
Aldosterone blockade reduces mortality and morbidity among patients with severe heart failure. We conducted a double-blind, placebo-controlled study evaluating the effect of eplerenone, a selective aldosterone blocker, on morbidity and mortality among patients with acute myocardial infarction complicated by left ventricular dysfunction and heart failure.
METHODS:
Patients were randomly assigned to eplerenone (25 mg per day initially, titrated to a maximum of 50 mg per day; 3,319 patients) or placebo (3,313 patients) in addition to optimal medical therapy. The study continued until 1,012 deaths occurred. The primary endpoints were death from any cause, death from cardiovascular causes, hospitalization for a heart failure exacerbation, acute myocardial infarction, stroke, or ventricular arrhythmia.
RESULTS:
During a mean follow-up of 16 months, there were 478 deaths in the eplerenone group and 554 deaths in the placebo group (relative risk, 0.85; 95% confidence interval, 0.75 to 0.96; p=0.008). Of these deaths, 407 in the eplerenone group and 483 in the placebo group were attributed to cardiovascular causes (relative risk, 0.83; 95% confidence interval, 0.72 to 0.94; p=0.005). The rate of the other primary endpoints, death from cardiovascular causes or hospitalization for cardiovascular events, was reduced by eplerenone (relative risk, 0.87; 95% confidence interval, 0.79 to 0.95; p=0.002), as was the secondary endpoint of death from any cause or any hospitalization (relative risk, 0.92; 95% confidence interval, 0.86 to 0.98; p=0.02). There was also a reduction in the rate of sudden death from cardiac causes (relative risk, 0.79; 95% confidence interval, 0.64 to 0.97; p=0.03). The rate of serious hyperkalemia was 5.5% in the eplerenone group and 3.9% in the placebo group (p=0.002), whereas the rate of hypokalemia was 8.4% in the eplerenone group and 13.1% in the placebo group (p<0.001).
Which of the following represents the relative risk reduction (RRR) in all-cause mortality, the primary endpoint, in patients supplemented with eplerenone?
Q13
In a randomized controlled trial studying a new treatment, the primary endpoint (mortality) occurred in 14.4% of the treatment group and 16.7% of the control group. Which of the following represents the number of patients needed to treat to save one life, based on the primary endpoint?
Q14
A researcher is investigating the risk of symptomatic intracerebral hemorrhage associated with tissue plasminogen activator (tPA) treatment in severe ischemic stroke. The outcomes of a large randomized controlled trial of ischemic stroke patients, some of whom were randomized to tPA, is shown:
Symptomatic intracerebral hemorrhage No symptomatic intracerebral hemorrhage
Received tPA 12 188
Did not receive tPA 25 475
Based on this data, how many patients with severe ischemic stroke would need to be treated with tPA, on average, to contribute to one case of symptomatic intracerebral hemorrhage?
Q15
An investigator is studying the efficacy of a new bisphosphonate analog in preventing hip fractures in patients above 60 years of age with risk factors for osteoporosis but no confirmed diagnosis. Participating patients were randomized to either pharmacologic therapy with the new bisphosphonate analog or a placebo. The results show:
Hip fracture No hip fracture
Pharmacologic therapy 3 97
No pharmacologic therapy 10 190
Based on this information, which of the following best represents the proportionate reduction in the risk of hip fractures brought about due to pharmacologic therapy, in comparison to the control group?
Q16
A new formula for an anti-wrinkle cream is being tested for efficacy in a group of 362 healthy 40- to 60-year-old female volunteers. The marketing team randomizes the volunteers. Half receive the new formula and the other half of the volunteers receive the original formula. The mean age in the test group is 48 (95% CI 42-56), and the average age of the control group is 49 (95% CI 42-55). The volunteers are unaware of which formula they receive. The research and development team then compares before and after photographs of the volunteers following 6 weeks of at home application twice daily. For simplicity, the marketing team labels the photographs with "new formula" or "original formula." 98% of volunteers in the test group complete the study, and 97% of volunteers in the control group complete the study. The researchers conclude that there is improved wrinkle reduction with 6 weeks of use of the new formula. Which of the following potential biases most likely impacted this conclusion?
Q17
In 2006, three researchers from North Carolina wanted to examine the benefits of treating the risk of suicidality in children and adolescents by looking at randomized, multicenter, controlled trials of sertraline usage compared to placebo. Their analysis found clinically significant benefits of the drug and a positive benefit-to-risk ratio for sertraline in adolescents with major depressive disorder. They also found that 64 depressed children and adolescents need to receive the drug for 1 extra patient to experience suicidality as an adverse outcome. In other words, if 64 treated individuals received sertraline, some would experience suicidality due to their illness, some would not experience suicidality, and 1 individual would become suicidal due to the unique contribution of sertraline. Which of the following statements is true for this measure (defined as the inverse of the attributable risk), which aims to describe adverse outcomes this way?
Q18
A randomized, controlled trial was undertaken by a team of clinical researchers to evaluate a new drug for the treatment of cluster headaches. This type of headache (that mostly affects men) is characterized by excruciating pain on 1 side of the head. After careful randomization and controlling for all of the known confounders, a total of 200 patients with cluster headaches were divided into 2 groups. The first group of study participants received 40 mg of the new drug, X, in the form of a powder mixed with water. The second group received 80 mg of verapamil (a calcium channel blocker that is commonly prescribed for cluster headaches) in the form of a labeled pill. Participants from both groups were mixed together in rooms designated for drug research purposes and could communicate freely. After the study period has finished without any loss to follow-up or skipped treatments, the outcome (pain alleviation) was assessed by trained researchers that were blinded to treatment assignment. Study results have shown that the new drug is more efficacious than current gold standard by both clinically and statistically significant margin. Therefore, the investigators concluded that this drug should be introduced for the treatment of cluster headaches. However, their conclusions are likely to be criticized on the grounds of which of the following?
Q19
The VALIANT trial compared the effect of captopril and valsartan on mortality in patients with myocardial infarction complicated by heart failure. Subjects were randomly assigned to treatment with either captopril or valsartan and subsequently followed for 2 years. The primary endpoint was death from any cause. The study concluded that valsartan was as effective as captopril in patients who are at high risk for cardiac events after an MI. Which of the following describes this type of study?
Q20
A pharmaceutical company is studying the effect of a novel compound that they have discovered to treat osteoporosis. They perform a randomized controlled clinical trial to study if this compound has an effect on the incidence of hip fractures among osteoporotic patients. They find that there is no statistical difference between the experimental and control groups so they do not pursue the compound further. Two years later, a second team tests the same compound and finds that the compound is effective, and follow up studies confirm that the compound has a statistically significant effect on fracture risk. Which of the following most likely describes what occurred in the first study?
RCTs US Medical PG Practice Questions and MCQs
Question 11: A research consortium is studying a new vaccine for respiratory syncytial virus (RSV) in premature infants compared to the current standard of care. 1000 infants were randomized to either the new vaccine group or the standard of care group. In total, 520 receive the new vaccine and 480 receive the standard of care. Of those who receive the new vaccine, 13 contract RSV. Of those who received the standard of care, 30 contract RSV. Which of the following is the absolute risk reduction of this new vaccine?
A. 4.3%
B. 3.75% (Correct Answer)
C. 6.25%
D. 1.7%
E. 2.5%
Explanation: ***3.75%***
- **Absolute Risk Reduction (ARR)** is calculated as the difference between the event rate in the control group (CER) and the event rate in the experimental group (EER).
- Here, the event rate in the standard of care (control) group is (30/480) * 100% = 6.25%, and in the new vaccine (experimental) group is (13/520) * 100% = 2.5%. Therefore, ARR = 6.25% - 2.5% = **3.75%**.
*4.3%*
- This value might be obtained from an incorrect calculation or misinterpreting the numbers for the **risk reduction**.
- It does not represent the direct difference in risk between the two groups.
*6.25%*
- This value represents the event rate in the **standard of care (control) group** (30/480).
- It is the control event rate (CER), not the absolute risk reduction.
*1.7%*
- This value is not derived from the correct formula for **absolute risk reduction**.
- It may arise from an incomplete or incorrect calculation of the risk difference.
*2.5%*
- This value represents the event rate in the **new vaccine (experimental) group** (13/520).
- This is the experimental event rate (EER), not the absolute risk reduction.
Question 12: BACKGROUND:
Aldosterone blockade reduces mortality and morbidity among patients with severe heart failure. We conducted a double-blind, placebo-controlled study evaluating the effect of eplerenone, a selective aldosterone blocker, on morbidity and mortality among patients with acute myocardial infarction complicated by left ventricular dysfunction and heart failure.
METHODS:
Patients were randomly assigned to eplerenone (25 mg per day initially, titrated to a maximum of 50 mg per day; 3,319 patients) or placebo (3,313 patients) in addition to optimal medical therapy. The study continued until 1,012 deaths occurred. The primary endpoints were death from any cause, death from cardiovascular causes, hospitalization for a heart failure exacerbation, acute myocardial infarction, stroke, or ventricular arrhythmia.
RESULTS:
During a mean follow-up of 16 months, there were 478 deaths in the eplerenone group and 554 deaths in the placebo group (relative risk, 0.85; 95% confidence interval, 0.75 to 0.96; p=0.008). Of these deaths, 407 in the eplerenone group and 483 in the placebo group were attributed to cardiovascular causes (relative risk, 0.83; 95% confidence interval, 0.72 to 0.94; p=0.005). The rate of the other primary endpoints, death from cardiovascular causes or hospitalization for cardiovascular events, was reduced by eplerenone (relative risk, 0.87; 95% confidence interval, 0.79 to 0.95; p=0.002), as was the secondary endpoint of death from any cause or any hospitalization (relative risk, 0.92; 95% confidence interval, 0.86 to 0.98; p=0.02). There was also a reduction in the rate of sudden death from cardiac causes (relative risk, 0.79; 95% confidence interval, 0.64 to 0.97; p=0.03). The rate of serious hyperkalemia was 5.5% in the eplerenone group and 3.9% in the placebo group (p=0.002), whereas the rate of hypokalemia was 8.4% in the eplerenone group and 13.1% in the placebo group (p<0.001).
Which of the following represents the relative risk reduction (RRR) in all-cause mortality, the primary endpoint, in patients supplemented with eplerenone?
A. 0.21
B. 0.15 (Correct Answer)
C. 0.13
D. 0.17
E. 0.08
Explanation: ***0.15***
- The relative risk (RR) for **death from any cause** in the eplerenone group vs. placebo was given as 0.85. The relative risk reduction (RRR) is calculated as **1 - RR**.
- Therefore, the RRR is 1 - 0.85 = **0.15**.
*0.21*
- This value represents the RRR for **sudden death from cardiac causes** (RR = 0.79; 1 - 0.79 = 0.21).
- It does not correspond to the **all-cause mortality** endpoint, which had an RR of 0.85.
*0.13*
- This value is not derived from the **relative risk of 0.85** for all-cause mortality mentioned in the study.
- It does not represent the correct **relative risk reduction** for this specific endpoint.
*0.17*
- This value is inconsistent with the **relative risk of 0.85** reported for all-cause mortality.
- It does not represent the correct **relative risk reduction** for this specific endpoint.
*0.08*
- This value does not correspond to any RRR calculation from the relative risks provided in the study.
- The correct RRR for **all-cause mortality** is 0.15, not 0.08.
Question 13: In a randomized controlled trial studying a new treatment, the primary endpoint (mortality) occurred in 14.4% of the treatment group and 16.7% of the control group. Which of the following represents the number of patients needed to treat to save one life, based on the primary endpoint?
A. 1/(0.144 - 0.167)
B. 1/(0.167 - 0.144) (Correct Answer)
C. 1/(0.300 - 0.267)
D. 1/(0.267 - 0.300)
E. 1/(0.136 - 0.118)
Explanation: ***1/(0.167 - 0.144)***
- The **Number Needed to Treat (NNT)** is calculated as **1 / Absolute Risk Reduction (ARR)**.
- The **Absolute Risk Reduction (ARR)** is the difference between the event rate in the control group (16.7%) and the event rate in the treatment group (14.4%), which is **0.167 - 0.144**.
*1/(0.144 - 0.167)*
- This calculation represents 1 divided by the **Absolute Risk Increase**, which would be relevant if the treatment increased mortality.
- The **NNT should always be a positive value**, indicating the number of patients to treat to prevent one adverse event.
*1/(0.300 - 0.267)*
- This option uses arbitrary numbers (0.300 and 0.267) that do not correspond to the given **mortality rates** in the problem.
- It does not reflect the correct calculation for **absolute risk reduction** based on the provided data.
*1/(0.267 - 0.300)*
- This option also uses arbitrary numbers not derived from the problem's data, and it would result in a **negative value** for the denominator.
- The difference between event rates of 0.267 and 0.300 is not present in the given information for this study.
*1/(0.136 - 0.118)*
- This calculation uses arbitrary numbers (0.136 and 0.118) that are not consistent with the reported **mortality rates** of 14.4% and 16.7%.
- These values do not represent the **Absolute Risk Reduction** required for calculating NNT in this specific scenario.
Question 14: A researcher is investigating the risk of symptomatic intracerebral hemorrhage associated with tissue plasminogen activator (tPA) treatment in severe ischemic stroke. The outcomes of a large randomized controlled trial of ischemic stroke patients, some of whom were randomized to tPA, is shown:
Symptomatic intracerebral hemorrhage No symptomatic intracerebral hemorrhage
Received tPA 12 188
Did not receive tPA 25 475
Based on this data, how many patients with severe ischemic stroke would need to be treated with tPA, on average, to contribute to one case of symptomatic intracerebral hemorrhage?
A. 13
B. 6
C. 0.01
D. 1.2
E. 100 (Correct Answer)
Explanation: ***100***
- To calculate the number needed to harm (NNH), first determine the **absolute risk reduction/increase (ARR/ARI)** for symptomatic intracerebral hemorrhage.
- The **risk in the tPA group** is 12 (hemorrhages) / (12 + 188) (total tPA patients) = 12/200 = 0.06. The **risk in the control group** is 25 (hemorrhages) / (25 + 475) (total control patients) = 25/500 = 0.05.
- The **ARI = Risk in tPA group - Risk in control group = 0.06 - 0.05 = 0.01**.
- The NNH is the reciprocal of the ARI: **NNH = 1 / ARI = 1 / 0.01 = 100**. This means 100 patients need to be treated for one additional case of symptomatic intracerebral hemorrhage due to tPA.
*13*
- This value does not represent the correct calculation for the **Number Needed to Harm (NNH)**.
- It likely results from an incorrect application of the data or a misinterpretation of the NNH formula.
*6*
- This number is incorrect and does not reflect the **NNH** based on the provided data.
- It might represent a calculation based on a different metric or a miscalculation of the **absolute risk increase**.
*0.01*
- This value represents the **absolute risk increase (ARI)** (0.06 - 0.05 = 0.01) of symptomatic intracerebral hemorrhage with tPA, not the **Number Needed to Harm (NNH)**.
- The NNH is the reciprocal of the ARI, which would be 1/0.01 = 100.
*1.2*
- This value is not derived from the standard calculation of **Number Needed to Harm (NNH)**.
- It may be the result of a miscalculation or an attempt to compare the relative risks, rather than addressing the question of treatment impact per case.
Question 15: An investigator is studying the efficacy of a new bisphosphonate analog in preventing hip fractures in patients above 60 years of age with risk factors for osteoporosis but no confirmed diagnosis. Participating patients were randomized to either pharmacologic therapy with the new bisphosphonate analog or a placebo. The results show:
Hip fracture No hip fracture
Pharmacologic therapy 3 97
No pharmacologic therapy 10 190
Based on this information, which of the following best represents the proportionate reduction in the risk of hip fractures brought about due to pharmacologic therapy, in comparison to the control group?
A. 5%
B. 40% (Correct Answer)
C. 3%
D. 2%
E. 60%
Explanation: ***Correct: 40%***
- The **Relative Risk Reduction (RRR)** represents the proportionate reduction in risk due to the intervention compared to the control group.
- Risk in control group = 10 / (10 + 190) = 10 / 200 = **0.05** or 5%
- Risk in treatment group = 3 / (3 + 97) = 3 / 100 = **0.03** or 3%
- **Absolute Risk Reduction (ARR)** = 0.05 - 0.03 = 0.02 or 2%
- **RRR** = ARR / (Risk in control group) = 0.02 / 0.05 = **0.40** or **40%**
*Incorrect: 5%*
- This value represents the **absolute risk of hip fracture** in the control group (10 hip fractures out of 200 participants).
- It does not reflect the **proportionate reduction** in risk due to the intervention.
*Incorrect: 3%*
- This value represents the **absolute risk of hip fracture** in the pharmacologic therapy group (3 hip fractures out of 100 participants).
- It does not represent the **relative reduction** in risk.
*Incorrect: 2%*
- This value represents the **Absolute Risk Reduction (ARR)**, which is the difference between the risk in the control group (5%) and the risk in the treatment group (3%).
- Although it's part of the RRR calculation, it is not the **proportionate (relative) reduction** itself.
*Incorrect: 60%*
- This value is obtained by incorrectly calculating the ratio of the reduction in risk to the risk in the treatment group (0.02 / 0.03), or making other computational errors.
- It does not represent the **proportionate reduction** in risk when compared to the baseline risk in the control group.
Question 16: A new formula for an anti-wrinkle cream is being tested for efficacy in a group of 362 healthy 40- to 60-year-old female volunteers. The marketing team randomizes the volunteers. Half receive the new formula and the other half of the volunteers receive the original formula. The mean age in the test group is 48 (95% CI 42-56), and the average age of the control group is 49 (95% CI 42-55). The volunteers are unaware of which formula they receive. The research and development team then compares before and after photographs of the volunteers following 6 weeks of at home application twice daily. For simplicity, the marketing team labels the photographs with "new formula" or "original formula." 98% of volunteers in the test group complete the study, and 97% of volunteers in the control group complete the study. The researchers conclude that there is improved wrinkle reduction with 6 weeks of use of the new formula. Which of the following potential biases most likely impacted this conclusion?
A. Observer bias (Correct Answer)
B. Procedure bias
C. Hawthorne effect
D. Recall bias
E. Selection bias
Explanation: ***Observer bias***
- The research and development team, who evaluated the **photographs**, were aware of whether the participants received the "new formula" or "original formula."
- This knowledge could unconsciously influence their interpretation of the photos, leading them to perceive more improvement in the "new formula" group even if the change was subtle or non-existent.
*Procedure bias*
- This occurs when different experimental procedures are applied to different groups in a study.
- In this scenario, both groups followed the same procedure of applying their assigned cream twice daily for 6 weeks, which minimizes this bias.
*Hawthorne effect*
- The Hawthorne effect describes a phenomenon where participants improve their performance or behavior in response to being observed.
- While participants knew they were in a study, the primary issue described is with the **evaluators' knowledge**, not the participants' changed behavior due to observation.
*Recall bias*
- Recall bias is a type of information bias where participants inaccurately recall past exposures or events due to their current status.
- This study uses before-and-after photographs for objective assessment, making participant recall of past wrinkle status less relevant.
*Selection bias*
- Selection bias occurs when the randomization process fails to create comparable groups, leading to systematic differences between them at baseline.
- The problem states that the volunteers were randomized, and the mean ages and their confidence intervals were very similar between the groups, suggesting successful randomization and minimizing selection bias.
Question 17: In 2006, three researchers from North Carolina wanted to examine the benefits of treating the risk of suicidality in children and adolescents by looking at randomized, multicenter, controlled trials of sertraline usage compared to placebo. Their analysis found clinically significant benefits of the drug and a positive benefit-to-risk ratio for sertraline in adolescents with major depressive disorder. They also found that 64 depressed children and adolescents need to receive the drug for 1 extra patient to experience suicidality as an adverse outcome. In other words, if 64 treated individuals received sertraline, some would experience suicidality due to their illness, some would not experience suicidality, and 1 individual would become suicidal due to the unique contribution of sertraline. Which of the following statements is true for this measure (defined as the inverse of the attributable risk), which aims to describe adverse outcomes this way?
A. Higher measures indicate greater risk.
B. Input values must be probabilities of the events of interest. (Correct Answer)
C. Multiple risks can be contained and described within one result.
D. The final metric represents proportions in percentage terms.
E. The measure can include multiple events at one time.
Explanation: ***Input values must be probabilities of the events of interest.***
- The measure described (- the inverse of the **attributable risk** - or more accurately, the **Number Needed to Harm** or **NNH**) is derived from **absolute risk reduction**, which requires the risk of an event in the exposed group and the risk of the event in the unexposed/control group to be expressed as **probabilities or proportions**.
- These probabilities are essential for calculating the difference in event rates, which is then inverted to get the NNH.
*Higher measures indicate greater risk.*
- A **higher NNH** (e.g., 64 in this case) indicates that a larger number of patients need to be treated for one additional adverse event to occur, implying a **lower risk** associated with the treatment.
- Conversely, a **lower NNH** (e.g., 10) would mean fewer patients need to be treated for one additional adverse event, indicating a **higher risk**.
*Multiple risks can be contained and described within one result.*
- The NNH (or Number Needed to Treat) is typically calculated for a **single specific outcome** (either beneficial or harmful).
- While an overall benefit-to-risk analysis might involve considering multiple outcomes, the NNH itself quantifies the impact for **one defined event**.
*The final metric represents proportions in percentage terms.*
- The final metric (NNH) is expressed as a **whole number** (e.g., 64), representing the number of patients.
- It does **not represent a proportion or a percentage**; rather, it indicates how many individuals need to be exposed to experience one additional event.
*The measure can include multiple events at one time.*
- The NNH is event-specific; it calculates the number of patients for **one particular adverse event**.
- To analyze multiple events, one would need to calculate **separate NNH values** for each individual event.
Question 18: A randomized, controlled trial was undertaken by a team of clinical researchers to evaluate a new drug for the treatment of cluster headaches. This type of headache (that mostly affects men) is characterized by excruciating pain on 1 side of the head. After careful randomization and controlling for all of the known confounders, a total of 200 patients with cluster headaches were divided into 2 groups. The first group of study participants received 40 mg of the new drug, X, in the form of a powder mixed with water. The second group received 80 mg of verapamil (a calcium channel blocker that is commonly prescribed for cluster headaches) in the form of a labeled pill. Participants from both groups were mixed together in rooms designated for drug research purposes and could communicate freely. After the study period has finished without any loss to follow-up or skipped treatments, the outcome (pain alleviation) was assessed by trained researchers that were blinded to treatment assignment. Study results have shown that the new drug is more efficacious than current gold standard by both clinically and statistically significant margin. Therefore, the investigators concluded that this drug should be introduced for the treatment of cluster headaches. However, their conclusions are likely to be criticized on the grounds of which of the following?
A. Intention to treat bias
B. Convenience sampling bias
C. Attrition bias
D. Observer bias
E. Response bias (Correct Answer)
Explanation: ***Response bias***
- **Response bias** is likely to occur because patients in the study were able to communicate freely and were not blinded to their treatment. Knowing whether they received the experimental drug or the control could influence their self-reported pain alleviation.
- The different forms of administration (powder vs. labeled pill) and dosages (40 mg vs. 80 mg) also make it difficult to blind participants effectively, contributing to the potential for response bias.
*Intention to treat bias*
- **Intention-to-treat bias** occurs when participants are analyzed according to the treatment they *actually received* rather than the treatment to which they were *originally assigned*.
- The study explicitly states there was "no loss to follow-up or skipped treatments," indicating that an intention-to-treat analysis (analyzing all participants in their assigned groups) would likely have been performed, thus reducing this type of bias.
*Convenience sampling bias*
- **Convenience sampling bias** arises when participants are selected based on their easy accessibility rather than through a random or representative process.
- The question states the trial involved "careful randomization," which means participants were assigned to groups randomly, not conveniently, making this bias unlikely.
*Attrition bias*
- **Attrition bias** (or loss to follow-up bias) occurs when there is a differential loss of participants from study groups, impacting the representativeness of the remaining cohorts.
- The study explicitly states there was "no loss to follow-up or skipped treatments," directly ruling out attrition bias.
*Observer bias*
- **Observer bias** (or assessor bias) occurs when researchers who assess the outcome are aware of the treatment assignments and their expectations influence the assessment.
- The study explicitly states that "outcome (pain alleviation) was assessed by trained researchers that were blinded to treatment assignment," thus mitigating observer bias.
Question 19: The VALIANT trial compared the effect of captopril and valsartan on mortality in patients with myocardial infarction complicated by heart failure. Subjects were randomly assigned to treatment with either captopril or valsartan and subsequently followed for 2 years. The primary endpoint was death from any cause. The study concluded that valsartan was as effective as captopril in patients who are at high risk for cardiac events after an MI. Which of the following describes this type of study?
A. Cross-sectional study
B. Randomized controlled trial (Correct Answer)
C. Case-control study
D. Crossover study
E. Cohort study
Explanation: ***Randomized controlled trial***
- Subjects were **randomly assigned** to different treatment groups (captopril or valsartan) and followed over time to compare outcomes, which is the hallmark of a randomized controlled trial.
- This design allows for the most robust comparison of treatment effects by minimizing confounding variables through randomization.
*Cross-sectional study*
- This type of study assesses **exposure and outcome simultaneously** at a single point in time, which does not fit the description of a follow-up over two years.
- It provides a snapshot of prevalence but cannot establish causality or track changes over time.
*Case-control study*
- This study design **compares subjects with a specific outcome (cases)** to subjects without the outcome (controls) to look back retrospectively for differential exposures.
- It does not involve random assignment to interventions or prospective follow-up.
*Crossover study*
- In a crossover study, each participant receives **all interventions in a sequence**, often with a washout period between treatments.
- The VALIANT trial described a comparison of two distinct groups, not a sequence of treatments within the same individuals.
*Cohort study*
- A cohort study **follows a group of individuals over time** to observe the incidence of disease or outcomes based on exposure status.
- While there is follow-up, the key differentiating factor from an RCT is the **lack of randomization to an intervention**, as exposures are typically observed rather than assigned.
Question 20: A pharmaceutical company is studying the effect of a novel compound that they have discovered to treat osteoporosis. They perform a randomized controlled clinical trial to study if this compound has an effect on the incidence of hip fractures among osteoporotic patients. They find that there is no statistical difference between the experimental and control groups so they do not pursue the compound further. Two years later, a second team tests the same compound and finds that the compound is effective, and follow up studies confirm that the compound has a statistically significant effect on fracture risk. Which of the following most likely describes what occurred in the first study?
A. Design bias
B. Type II error (Correct Answer)
C. Type I error
D. Selection bias
E. Type III error
Explanation: ***Type II error***
- A **Type II error** (or **beta error**) occurs when a study fails to detect a true effect; in this case, the first study concluded there was no difference, but a real effect of the compound existed.
- This typically happens when the study has **insufficient statistical power**, often due to a small sample size or an effect size that is smaller than anticipated.
*Design bias*
- **Design bias** refers to systematic errors introduced by the way a study is planned or executed, such as inappropriate blinding, randomization, or choice of control group.
- While it can lead to incorrect conclusions, it usually results in detecting an effect that isn't real (Type I error) or masking an effect due to fundamental flaws, rather than simply failing to detect a true effect due to power issues, which is inferred by the second team finding the effect.
*Type I error*
- A **Type I error** (or **alpha error**) occurs when a study concludes there is an effect when, in reality, there is none (a **false positive**).
- This scenario describes the opposite: the first study concluded no effect, but subsequent research proved there was one.
*Selection bias*
- **Selection bias** occurs when the study participants are not representative of the target population, leading to results that cannot be generalized.
- While selection bias can impact study outcomes, the problem described is more about the study's ability to detect a true effect, rather than the representativeness of the sample distorting the effect itself.
*Type III error*
- A **Type III error** occurs when a researcher correctly rejects the null hypothesis but for the wrong reason or by incorrectly interpreting the nature of the effect.
- This is not applicable here as the first study *failed* to reject the null hypothesis, rather than rejecting it for the wrong reason.