3. Was the outcome adequately ascertained?
Questions 4, 5 and 6 are mostly relevant to cases of adverse drug events.
For example, a study that explicitly describes all the cases who have presented to a medical centre over a certain period of time would satisfy the selection domain. In contrast, a study that reports on several individuals with unclear selection approach leaves the reader with uncertainty to whether this is the whole experience of the researchers and suggests possible selection bias. For the domain of ascertainment, self-report (of the exposure or the outcome) is less reliable than ascertainment using administrative and billing codes, which in turn is less reliable than clinical records. For the domain of causality, we would have stronger inference in a case report of an adverse drug reaction that has resolved with cessation of the drug and reoccurred after reintroduction of the drug. Lastly, for the domain of reporting, a case report that is described with sufficient details may allow readers to apply the evidence derived from the report in their practice. On the other hand, an inadequately reported case will likely be unhelpful in the course of clinical care.
We suggest using this tool in systematic reviews of case reports/series. One option to summarise the results of this tool is to sum the scores of the eight binary responses into an aggregate score. A better option is not to use an aggregate score because numeric representation of methodological quality may not be appropriate when one or two questions are deemed most critical to the validity of a report (compared with other questions). Therefore, we suggest making an overall judgement about methodological quality based on the questions deemed most critical in the specific clinical scenario.
A single patient case report does not allow the estimation of an effect size and would only provide descriptive or narrative results. Case series of more than one patient may allow narrative or quantitative synthesis.
A systematic review of the cases with the rare syndrome of lipodystrophy was able to suggest core and supportive clinical features and narratively summarised data on available treatment approaches. 17 Another systematic review of 172 cases of the infrequently encountered glycogenic hepatopathy was able to characterise for the first time patterns of liver enzymes and hepatic injury in this disease. 18
Quantitative analysis of non-comparative series does not produce relative association measures such as ORs or relative risks but can provide estimates of prevalence or event rates in the form of a proportion (with associated precision). Proportions can be pooled using fixed or random effects models by means of the various available meta-analysis software. For example, a meta-analysis of case series of patients presenting with aortic transection showed that mortality was significantly lower in patients who underwent endovascular repair, followed by open repair and non-operative management (9%, 19% and 46%, respectively, P<0.01). 19
A common challenge, however, occurs when proportions are too large or too small (close to 0 or to 1). In this situation, the variance of the proportion becomes very small leading to an inappropriately large weight in meta-analysis. One way to overcome this challenge is to transform prevalence to a variable that is not constrained to the 0–1 range and has approximately normal distribution, conduct the meta-analysis and then transform the estimate back to a proportion. 20 This is done using logit transformation or using the Freeman-Tukey double arcsine transformation, 21 with the latter being often preferred. 20
Another type of quantitative analysis that may be utilised is regression. A meta-analysis of 47 published cases of hypocalcaemia and cardiac dysfunction used univariate linear regression analysis to demonstrate that both QT interval and left ventricular ejection fraction were significantly correlated with corrected total serum calcium level. 22 Meta-regression, which is a regression in which the unit of analysis is a study, not a patient, can also be used to synthesise case series and control for study-level confounders. A meta-regression analysis of uncontrolled series of patients with uveal melanoma treated with proton beam therapy has shown that this treatment was associated with better outcomes than brachytherapy. 23 It is very important, however, to recognise that meta-regression results can be severely affected by ecological bias.
Several authors have described various important reasons to publish case reports/series ( table 2 ). 7 24 25
Role of case reports/series in the medical literature
Roles | Examples |
Describe a new phenotype or genotype of disease | The first case report of sickle cell disease. |
Recognise a known or common manifestation of a rare disease | Liver cirrhosis as a result of Sitosterolaemia. |
Recognise a rare manifestation of a known or common disease | Secretory diarrhoea and hypokalaemia in colonic pseudo-obstruction. |
Describe a new pathogen (microbe, virus or environmental exposure) | Discovery of AIDS was an observation of a patient with immunodeficiency-related diseases who otherwise had no reason to be immunodeficient. |
Describe unknown adverse effect of an existing drug | Reye syndrome and aspirin in children. Thalidomide and malformation of the limbs in pregnant women. |
Describe a novel treatment for a known condition | Colchicine for the treatment of familial Mediterranean fever. |
Elucidate mechanisms of disease | Functional imaging of the brain during auditory hallucinations. |
To remind or educate | Case presentations in clinicopathological conferences for postgraduate education. |
Quality improvement | ‘Lesson of the week’ published in the (do not make the same mistake as I did). |
It is paramount to recognise that a systematic review and meta-analysis of case reports/series should not be placed at the top of the hierarchy in a pyramid that depicts validity. 26 The certainty of evidence derived from a meta-analysis is contingent on the design of included studies, their risk of bias, as well as other factors such as imprecision, indirectness, inconsistency and likelihood of publication bias. 27 Commonly, certainty in evidence derived from case series/reports will be very low. Nevertheless, inferences from such reports can be used for decision-making. In the example of case series of aortic transection showing lower mortality with endovascular repair, a guideline recommendation was made stating ‘We suggest that endovascular repair be performed preferentially over open surgical repair or non-operative management’. This was graded as a weak recommendation based on low certainty evidence. 28 The strength of this recommendation acknowledged that the recommendation might not universally apply to everyone and that variability in decision-making was expected. The certainty in evidence rating of this recommendation implied that future research would likely yield different results that may change the recommendation. 28
The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach clearly separates the certainty of evidence from the strength of recommendation. This separation allows decision-making based on lower levels of evidence. For example, despite low certainty evidence (derived from case series) regarding the association between aspirin and Reye’s syndrome in febrile children, a strong recommendation for using acetaminophen over aspirin is possible. 29 GRADE literature also describes five paradigmatic situations in which a strong recommendation can be made based on low quality evidence. 30 One of which is when the condition is life threatening. An example of which would be using hyperbaric oxygen therapy for purpura fulminans, which is only based on case reports. 31
Guideline developers and decision-makers often struggle when dealing with case reports/case series. On occasions, they ignore such evidence and focus the scope of guidelines on areas with higher quality evidence. Sometimes they label recommendations based on case reports as expert opinion. 32 We propose an approach to evaluate the methodological quality of case reports/series based on the domains of selection, ascertainment, causality and reporting and provide signalling questions to aid evidence-based practitioners and systematic reviewers in their assessment. We suggest the incorporation of case reports/series in decision-making based on the GRADE approach when no other higher level of evidence is available.
In this guide, we have made the case for publishing case reports/series and proposed synthesis of their results in systematic reviews to facilitate using this evidence in decision-making. We have proposed a tool that can be used to evaluate the methodological quality in systematic reviews that examine case reports and case series.
Contributors: MHM drafted the paper and all coauthors critically revised the manuscript. All the authors contributed to conceive the idea and approved the final submitted version.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
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Objective: Provide guidance to investigators and authors regarding appropriate conduct and reporting of case-series studies.
Summary of background data: Evidence-based practice has provided a substantial contribution to advancing clinical science. Many study designs have been critically examined, and the quality of the research literature has improved. A common study design in musculoskeletal medicine is the case series: a description of the course of patients over time. Case series can provide valuable information as to: case definition, trend analyses regarding outcomes, and clues as to causation. Case series cannot be used to draw inferences regarding treatment effect.
Methods: Examination of previous work on identification of characteristics of high quality study designs such as cohort studies; extending this work to case series.
Results: We identified draft characteristics that good case series studies should address: clearly defined study question; well- described study population; well-described intervention; use of validated outcome measures; appropriate statistical analyses; well-described results; discussion/conclusions supported by the data presented; funding sources acknowledged.
Conclusions: We propose these measures to authors and journal editors as one mechanism to improve the quality of the case series study.
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IMAGES
COMMENTS
Case reports and case series or case study research are descriptive studies that are prepared for illustrating novel, unusual, or atypical features identified in patients in medical practice, and they potentially generate new research questions.
A case series includes a description of the characteristics and outcomes among a group of individuals with either a disease or an exposure (which can be an intervention) over a period of time and without a control group.
In general, a case series comprises <10 cases; beyond that, it may be feasible to apply formal statistics and may be considered a cohort study. Both case reports and case series are descriptive studies.
A case series (also known as a clinical series) is a type of medical research study that tracks subjects with a known exposure, such as patients who have received a similar treatment, [1] or examines their medical records for exposure and outcome.
A case study, also known as a case report, is an in depth or intensive study of a single individual or specific group, while a case series is a grouping of similar case studies / case reports together.
Case series are observational descriptive studies in which researchers present a group of patients with common characteristics or diseases, and describe clinical progression, treatment, and outcomes. The clinical narrative generally highlights unusual diagnoses or responses to treatments and can often describe new treatment options or techniques.
Case series is one of the most common studies performed in medical research and provides the foundation for many more rigorous research studies. The primary outcome of a case series is a testable hypothesis that may be further evaluated with a more rigorous study design.
Case reports and case series are uncontrolled study designs known for increased risk of bias but have profoundly influenced the medical literature and continue to advance our knowledge. In this guide, we present a framework for appraisal, synthesis and application of evidence derived from case reports and case series.
Within this chapter, we will define a case series, discuss benefits and limitations of the design, and walk you through how to design a case series. A case series is a descriptive study that selects patients to include based on both outcomes and exposures or intervention.
A common study design in musculoskeletal medicine is the case series: a description of the course of patients over time. Case series can provide valuable information as to: case definition, trend analyses regarding outcomes, and clues as to causation.