Treatment FAQ

b. how precise is the intervention or treatment (ci) in research studies

by Dave Ward Published 2 years ago Updated 2 years ago

When reading a research report, the range of the CI provides assurance (or confidence) regarding how precise the data are. CIs are calculated at a confidence level, for example 95%. This level is predetermined by the researcher.

This precision is usually communicated with a 95% confidence interval (CI).

Full Answer

What is an interventional study?

In the fourth piece of this series on research study designs, we look at interventional studies (clinical trials). These studies differ from observational studies in that the investigator decides whether or not a participant will receive the exposure (or intervention).

What is the range of the CI in a research report?

When reading a research report, the range of the CI provides assurance (or confidence) regarding how precise the data are. CIs are calculated at a confidence level, for example 95%. This level is predetermined by the researcher. Confidence levels are usually calculated so that this percentage is 95% although others 90%, 99%, and 99.

What is the use of CI in research?

CIs are used to interpret the reliability of research data. The width or range of the CI indicates the reliability of the data (sometimes known as precision). A narrow CI implies high precision and credible values whereas a wide interval suggests the reverse.

What is the difference between prospective cohort studies and intervention studies?

Intervention studies (clinical trials) are similar to prospective cohort studies in design in that subjects with or without a given exposure are followed over time to compare incidence of the outcome of interest.

How precise is the treatment effect?

The best estimate of the size of the treatment effect (70 per cent) and the 95 per cent confidence interval about this estimate (7 to 100 per cent) are shown. The best estimate of the treatment effect is that it is clinically worthwhile, but this conclusion is subject to a high degree of uncertainty.

How do you critically evaluate a treatment?

5:099:08How to Critically Appraise a Therapy Study- Part 1 - YouTubeYouTubeStart of suggested clipEnd of suggested clipTable which is usually Table one of most studies. So look at that table see if the two groups look.MoreTable which is usually Table one of most studies. So look at that table see if the two groups look. Similar what happens if they aren't similar. Well. This is more likely to happen in small studies.

What is the intervention effect?

The results of comparative clinical studies can be expressed using various intervention effect measures. Examples are absolute risk reduction (ARR), relative risk reduction (RRR), odds ratio (OR), number needed to treat (NNT), and effect size.

What is a treatment effect in RCT?

To estimate a treatment effect in an RCT, the analysis has to be adjusted for the baseline value of the outcome variable. A proper adjustment is not achieved by performing a regular repeated measures analysis (method 2) or by the regular analysis of changes (method 3).

What is the treatment recommendation?

Making a treatment recommendation involves framing a question, identifying management options and outcomes, collecting and summarizing evidence, and applying value judgments or preferences to arrive at an optimal course of action.

Why is critical analysis important in research?

Critical analysis allows you to have greater clarity on the issues and information you process. Academic disciplines are kept alive through constant reflection, debate and refinement of ideas. Critical analysis is thus crucial to the survival and renewal of all fields of enquiry.

What is treatment effect in research?

The average treatment effect (ATE) is a measure used to compare treatments (or interventions) in randomized experiments, evaluation of policy interventions, and medical trials. The ATE measures the difference in mean (average) outcomes between units assigned to the treatment and units assigned to the control.

How do you measure intervention effect?

A common way of evaluating an intervention study is to divide it time-wise into three main phases: the first before the intervention begins, the second its actual implementation, and the third on a number of occasions after its completion [1].

What is intervention analysis?

Intervention analysis is the application of modeling procedures for incorporating the effects of exogenous forces or interventions in time series analysis.

Why is RCT the best?

The randomised controlled trial (RCT) is considered to provide the most reliable evidence on the effectiveness of interventions because the processes used during the conduct of an RCT minimise the risk of confounding factors influencing the results.

What does intention to treat mean in research?

Intention-to-treat analysis is a method for analyzing results in a prospective randomized study where all participants who are randomized are included in the statistical analysis and analyzed according to the group they were originally assigned, regardless of what treatment (if any) they received.

What is the average treatment effect on the treated?

Average treatment effects on the treated (ATT) and the untreated (ATU) are useful when there is interest in: the evaluation of the effects of treatments or interventions on those who received them, the presence of treatment heterogeneity, or the projection of potential outcomes in a target (sub-) population.

The theory

When reading a research report, the range of the CI provides assurance (or confidence) regarding how precise the data are. CIs are calculated at a confidence level, for example 95%. This level is predetermined by the researcher.

The concept

A CI is a numerical range used to describe research data. For example, for a study outcome of weight, a CI may be 53 to 71 kg. This interval of 53 to 71 kg is where there is 95% certainty that the true weight would lie (if you were applying a 95% CI).

Meaning and interpretation

CI is usually found in the results section of a paper and provide the reader with an opportunity to draw conclusions about the importance of the size or strength of the results. CIs are expressed as X (A–B), where X is the observed statistic for example, a mean, A is the lower limit of the CI, and B is the upper limit.

Some examples

Researchers examined the efficacy of a homeopathic preparation for analgesia and swelling postoral surgery. Two days postoperatively the homeopathic preparation had led to a mean reduction in swelling of 3 mm. The 95% CI ranged from −5.5 to 7.5 mm.

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Why are trials stopped early?

At times, trials are stopped early and reported because of positive, large treatment effects . However, early termination may introduce bias secondary to chance deviations from the “true effect” of treatment which would decrease if the trial was continued to completion.[15] .

What should urologists consider when making treatment decisions?

Finally, urologists should consider all patient-important outcomes as well as the balance of potential benefits, harms, and costs, and patient values and preferences when making treatment decisions. Conclusion:

Why is prognostic balance less certain?

At study's completion, the question of prognostic balance is less certain because of a relatively high rate of loss to follow-up.

What are the criteria for urological research?

Three broad criteria should be assessed, including the validity of the results, the magnitude and precision of the treatment effect, and the applicability of results to patient care.

Why is follow up important at the end of a trial?

In order to assure that both experimental and control groups are balanced at the end of a trial, complete follow-up information on each patient enrolled is important. Unfortunately, this is rarely the case at the close of a trial. Therefore, it is important to understand to what extent follow-up was incomplete.

Do RCTs have meta-analysis?

Ideally, a systematic review and meta-analysis of several randomized controlled trials (RCTs) will exist to guide treatment decisions. However, RCTs comprise a very small proportion of the urologic literature,[3] which inhibits meta-analysis.

Should urology trials be terminated early?

For this reason, critical readers of the urology literature should interpret trials terminated early with caution. In the case of the REDUCE trial, it appears that the trial went to completion, so this is not a concern in terms of the validity of the trial.

What are the outcomes of a dichotomous intervention?

These outcomes may be dichotomous (either/or) outcomes such as dead versus alive, infection versus no infection, healed/not healed; or continuous such as # of sneezes per day, length of stay, respiratory rate, fasting glucose).

What is the arithmetic difference between intervention and control groups?

arithmetic difference in the event rates between intervention and control groups (obtained by subtracting one event rate from the other), usually reported as a %. If the risk in the intervention group is less than the control group, we call that an Absolute risk reduction.

Why is a randomized trial considered the highest level of evidence for a single study?

A randomized trial is considered the highest level of evidence for a single study, with the caution that not all questions can be subjected to an RCT either ethically or practically. Of course, a systematic review of a number of trials is a higher level of evidence.

What is evidence informed decision making?

Evidence-informed decision-making is about applying the best available evidence to answer a specific question. You may be lucky and find a pre-appraised article where someone else had done the critical appraisal for you, such as the case with a synopsis from an evidence-based journal. If you cannot find that, you will have to assess for yourself, the methods of the study. This process is known as critical appraisal. What you are judging is the quality of the study methods and if the study can be applicable to your own situation, whether your situation involves a population, an individual patient, a policy or yourself. You are trying to answer the question:

What is an observational study?

an observational study that begins by comparing patients who have the health problem (cases) and control participants who do not have the health problem, and then looking back in time to identify the existence of possible causal factors, for example, identifying patients with and without lung cancer and looking back in time to determine past smoking behavior (exposure to tobacco).

What is the 95% confidence interval?

The 95% confidence interval (CI) represents the range within which we are 95% certain that the true value of the effect lies.

What does affirmative mean in 4b?

In answering the questions in 4 b), you get a sense of the study methods and if the results are likely to be valid . If the answer is affirmative, you would go on to look at the actual results and to identify if the results of the study are important.

What is intervention study?

Intervention Studies (Clinical Trials, Experimental Studies) Intervention studies (clinical trials) are similar to prospective cohort studies in design in that subjects with or without a given exposure are followed over time to compare incidence of the outcome of interest.

What is the difference between a prospective cohort study and a clinical trial?

The key difference is that prospective cohort studies are observational, but in clinical trials the investigators assign subjects to the exposure groups. While this design is frequently used to evaluate new drugs, it can be used to evaluate the efficacy of.

What is random assignment in clinical trials?

However, unlike prospective cohort studies in which investigators record exposures that subjects already have, in clinical trials the investigators assign patients to one of the exposure groups being compared. Ideally, this assignment is done with random allocation, meaning that each subject has an equal chance of being assigned to any one ...

What is informed consent?

One of the key things that an IRB will consider is whether potential subjects have provided informed consent, which is the process by which study participants consent to be subjects only after becoming fully informed and understand all aspects of the research including the purpose, risks, type of information to be collected, potential benefits, and alternatives to the research. Informed consent should allow people to make a fully informed decision about whether to participate in a study or not based on their own goals and values. Informed consent must be obtained before assignment to a treatment group, and consent can be withdrawn at any time during the study.

When should informed consent be obtained?

Informed consent must be obtained before assignment to a treatment group , and consent can be withdrawn at any time during the study.

Is it ethical to test all exposures in a clinical trial?

Certainly, it is not ethical to test all exposures in this fashion. It would be unethical, for example, to conduct a clinical trial on the effects of smoking, particularly since we know that the harm caused by smoking far outweighs any potential benefits, such as relaxation or weight control.

Why is critical appraisal important in evidence-based research?

1 Critical appraisal is made easier through the use of quality checklists that can help you to appraise research studies systematically and efficiently. The 3 basic appraisal questions are the same whether the clinical question is about treatment, diagnosis, prognosis, or causation:

Is it misleading to compare a simple count of the number of studies that found a positive effect of an intervention

Comparing a simple count of the number of studies that found a positive effect of an intervention with the number that found no effect or a harmful effect, would be misleading. This would assume that all studies had equal validity, power, duration, dosage, etc, to have the potential for the same effect.

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