8. Diagnostic assessment

What to write

8a – Diagnostic methods (e.g., physical examination, laboratory testing, imaging, questionnaires)

8b – Diagnostic challenges (e.g., financial, language, or cultural)

8c – Diagnostic reasoning including other diagnoses considered

8d – Prognostic characteristics (e.g., staging) where applicable

Explanation

Most case reports describe patients whose presentation is either a rare manifestation of an established disease or the first clue to a previously unknown disease. In either case, an accurate diagnosis is the essential element of a case report, and the author must provide a complete description of the diagnostic process. Whether a patient whose presentation is a rare manifestation of an established disease or the first clue to a previously unknown disease, the diagnostic assessments are essential. We recommend reporting relevant deidentified results of diagnostic evaluations with the dates they were performed. These could include laboratory results, radiographic and cardiographic images, and patient-reported outcome measurement surveys1. Include a brief explanation of the relevant results with reference ranges if necessary2. When trying to establish a cause and effect relationship between an exposure and a clinical event, document time course and dose of exposure to the onset of the clinical syndrome3 Important follow-up diagnostic assessments should be reported in the “Follow-up and Outcomes” section.

A case report should, if possible, cite literature references that support or challenge the main diagnostic hypotheses. Other diagnostic challenges such as obstacles to completing the evaluation may be important to mention. Likewise, discuss the evidence for the prognosis which may be affected by factors such as histological and genetic abnormalities, concomitant diagnoses, and therapeutic interventions used. These can be further elaborated in the discussion section.

Examples

8a—Diagnostic methods (e.g., PE, laboratory testing, imaging, questionnaires)

“Investigations were significant for a magnetic resonance imaging (MRI) study with and without contrast that revealed cerebral ischemic gliosis compatible with the patient’s age without acute intracranial pathology. There were no abnormalities noted along the course of either cranial seventh nerve. Her left STAB incision did not show evidence of thrombus, inflammation, or giant cells and hence was without evidence of temporal arteritis.”

From Branch facial nerve trauma after superficial temporal artery biopsy: a case report4.

8b—Diagnostic challenges (e.g., financial, language, or cultural)

“Delay of diagnosis resulted in a severe gradual deterioration in our patient. His initial clinical diagnosis of muscular dystrophy was further confirmed with diagnostic studies, according to the family, although we acknowledge that another muscle biopsy may be needed to exclude a diagnosis of muscular dystrophy (though we doubt that this was the actual diagnosis). As a result of the original diagnosis, however, our patient did not seek further evaluation for several years because he understood that there was no treatment for his condition. Decades later, further work-up with simple imaging techniques easily confirmed the etiology of his symptoms. Unfortunately, this delay in diagnosis resulted in the development of irreversible severe chronic muscle wasting. With such advanced atrophy and severe weakness, surgery will likely not provide significant functional benefit.

The differential diagnosis of bibrachial atrophy and syringomyelia is important. While we cannot definitively exclude that both the cervicothoracic syringomyelia and the bibrachial amyotrophy occurred as two separate entities, we doubt this…. We do not know why our patient’ s symptoms were stable for over 20 years. Although there was no history of any preceding head or neck trauma, perhaps the syrinx rapidly enlarged in the process of the disease. Without prior imaging, this is impossible to say with any certainty.”

From Chiari malformation type I with cervicothoracic syringomyelia masquerading as bibrachial amyotrophy: a case report5.

8c—Diagnostic reasoning including other diagnoses considered

“Differential diagnosis.

Taking carefully into account the previous in-depth history of both patients, a molecular analysis of the MEFV gene was decided. A rapid screening test of the entire coding sequence of MEFV gene, combined with targeted sequencing, revealed that both patients suffered from FMF as no other etiology had been identified thus far, whereas there was an appropriate exclusion of infectious, malignant, autoimmune, rheumatic, and liver and biliary diseases at their last submission. Actually, the mutational analysis revealed that the male patient carried the R202Q/R202Q homozygous alteration in exon 2 of the MEFV gene, whereas the female young patient was heterozygous for the M694V/0 conservative mutation in exon 10 and homozygous for the R202Q/R202Q mutation in exon 2.”

From Severe liver involvement in two patients with long-term history of fever: remember familial Mediterranean fever6.

8d—Prognostic characteristics (e.g., staging) where applicable

“Procalcitonin is a useful tool in the early diagnosis of sepsis, differentiating from other inflammatory syndrome. The high PCT level (10 ng/mL) in this case could suggest serious bacterial infection and sepsis and also predicts mortality and worse outcome.”

From Procalcitonin as a diagnostic and prognostic marker for sepsis caused by intestinal infection: a case report.7

Training

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References

1.
Cella D, Stone AA. Health-related quality of life measurement in oncology: Advances and opportunities. American Psychologist. 2015;70(2):175-185. doi:10.1037/a0037821
2.
Cohen H. How to write a patient case report. American Journal of Health-System Pharmacy. 2006;63(19):1888-1892. doi:10.2146/ajhp060182
3.
Hill. 1965;58.
4.
Rison RA. Branch facial nerve trauma after superficial temporal artery biopsy: A case report. Journal of Medical Case Reports. 2011;5(1). doi:10.1186/1752-1947-5-34
5.
Mora JR, Rison RA, Beydoun SR. Chiari malformation type i with cervicothoracic syringomyelia masquerading as bibrachial amyotrophy: A case report. Journal of Medical Case Reports. 2015;9(1). doi:10.1186/1752-1947-9-11
6.
Gatselis NK, Skendros P, Ritis K, Dalekos GN. Severe liver involvement in two patients with long-term history of fever: Remember familial mediterranean fever. BMJ Case Reports. Published online September 2016:bcr2016216941. doi:10.1136/bcr-2016-216941
7.
Liu. 2013;17.

Citation

For attribution, please cite this work as:
Gagnier JJ, Kienle G, Altman DG, et al. The CARE reporting guideline for writing clinical case report articles. The EQUATOR Network guideline dissemination platform. doi:10.1234/equator/1010101

Reporting Guidelines are recommendations to help describe your work clearly

Your research will be used by people from different disciplines and backgrounds for decades to come. Reporting guidelines list the information you should describe so that everyone can understand, replicate, and synthesise your work.

Reporting guidelines do not prescribe how research should be designed or conducted. Rather, they help authors transparently describe what they did, why they did it, and what they found.

Reporting guidelines make writing research easier, and transparent research leads to better patient outcomes.

Easier writing

Following guidance makes writing easier and quicker.

Smoother publishing

Many journals require completed reporting checklists at submission.

Maximum impact

From nobel prizes to null results, articles have more impact when everyone can use them.

Who reads research?

You work will be read by different people, for different reasons, around the world, and for decades to come. Reporting guidelines help you consider all of your potential audiences. For example, your research may be read by researchers from different fields, by clinicians, patients, evidence synthesisers, peer reviewers, or editors. Your readers will need information to understand, to replicate, apply, appraise, synthesise, and use your work.

Cohort studies

A cohort study is an observational study in which a group of people with a particular exposure (e.g. a putative risk factor or protective factor) and a group of people without this exposure are followed over time. The outcomes of the people in the exposed group are compared to the outcomes of the people in the unexposed group to see if the exposure is associated with particular outcomes (e.g. getting cancer or length of life).

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Case-control studies

A case-control study is a research method used in healthcare to investigate potential risk factors for a specific disease. It involves comparing individuals who have been diagnosed with the disease (cases) to those who have not (controls). By analysing the differences between the two groups, researchers can identify factors that may contribute to the development of the disease.

An example would be when researchers conducted a case-control study examining whether exposure to diesel exhaust particles increases the risk of respiratory disease in underground miners. Cases included miners diagnosed with respiratory disease, while controls were miners without respiratory disease. Participants' past occupational exposures to diesel exhaust particles were evaluated to compare exposure rates between cases and controls.

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Cross-sectional studies

A cross-sectional study (also sometimes called a "cross-sectional survey") serves as an observational tool, where researchers capture data from a cohort of participants at a singular point. This approach provides a 'snapshot'— a brief glimpse into the characteristics or outcomes prevalent within a designated population at that precise point in time. The primary aim here is not to track changes or developments over an extended period but to assess and quantify the current situation regarding specific variables or conditions. Such a methodology is instrumental in identifying patterns or correlations among various factors within the population, providing a basis for further, more detailed investigation.

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Systematic reviews

A systematic review is a comprehensive approach designed to identify, evaluate, and synthesise all available evidence relevant to a specific research question. In essence, it collects all possible studies related to a given topic and design, and reviews and analyses their results.

The process involves a highly sensitive search strategy to ensure that as much pertinent information as possible is gathered. Once collected, this evidence is often critically appraised to assess its quality and relevance, ensuring that conclusions drawn are based on robust data. Systematic reviews often involve defining inclusion and exclusion criteria, which help to focus the analysis on the most relevant studies, ultimately synthesising the findings into a coherent narrative or statistical synthesis. Some systematic reviews will include a meta-analysis.

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Systematic review protocols

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Meta analyses of Observational Studies

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Randomised Trials

A randomised controlled trial (RCT) is a trial in which participants are randomly assigned to one of two or more groups: the experimental group or groups receive the intervention or interventions being tested; the comparison group (control group) receive usual care or no treatment or a placebo. The groups are then followed up to see if there are any differences between the results. This helps in assessing the effectiveness of the intervention.

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Randomised Trial Protocols

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Qualitative research

Research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews, focus groups, or field observations in order to collect data that is rich in detail and context. Qualitative research is often used to explore complex phenomena or to gain insight into people's experiences and perspectives on a particular topic. It is particularly useful when researchers want to understand the meaning that people attach to their experiences or when they want to uncover the underlying reasons for people's behavior. Qualitative methods include ethnography, grounded theory, discourse analysis, and interpretative phenomenological analysis.

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Case Reports

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Diagnostic Test Accuracy Studies

Diagnostic accuracy studies focus on estimating the ability of the test(s) to correctly identify subjects with a predefined target condition, or the condition of interest (sensitivity) as well as to clearly identify those without the condition (specificity).

Prediction Models

Prediction model research is used to test the accurarcy of a model or test in estimating an outcome value or risk. Most models estimate the probability of the presence of a particular health condition (diagnostic) or whether a particular outcome will occur in the future (prognostic). Prediction models are used to support clinical decision making, such as whether to refer patients for further testing, monitor disease deterioration or treatment effects, or initiate treatment or lifestyle changes. Examples of well known prediction models include EuroSCORE II for cardiac surgery, the Gail model for breast cancer, the Framingham risk score for cardiovascular disease, IMPACT for traumatic brain injury, and FRAX for osteoporotic and hip fractures.

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Animal Research

TODO

Quality Improvement in Healthcare

Quality improvement research is about finding out how to improve and make changes in the most effective way. It is about systematically and rigourously exploring "what works" to improve quality in healthcare and the best ways to measure and disseminate this to ensure positive change. Most quality improvement effectiveness research is conducted in hospital settings, is focused on multiple quality improvement interventions, and uses process measures as outcomes. There is a great deal of variation in the research designs used to examine quality improvement effectiveness.

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Economic Evaluations in Healthcare

TODO

Meta Analyses

A meta-analysis is a statistical technique that amalgamates data from multiple studies to yield a single estimate of the effect size. This approach enhances precision and offers a more comprehensive understanding by integrating quantitative findings. Central to a meta-analysis is the evaluation of heterogeneity, which examines variations in study outcomes to ensure that differences in populations, interventions, or methodologies do not skew results. Techniques such as meta-regression or subgroup analysis are frequently employed to explore how various factors might influence the outcomes. This method is particularly effective when aiming to quantify the effect size, odds ratio, or risk ratio, providing a clearer numerical estimate that can significantly inform clinical or policy decisions.

How Meta-analyses and Systematic Reviews Work Together

Systematic reviews and meta-analyses function together, each complementing the other to provide a more robust understanding of research evidence. A systematic review meticulously gathers and evaluates all pertinent studies, establishing a solid foundation of qualitative and quantitative data. Within this framework, if the collected data exhibit sufficient homogeneity, a meta-analysis can be performed. This statistical synthesis allows for the integration of quantitative results from individual studies, producing a unified estimate of effect size. Techniques such as meta-regression or subgroup analysis may further refine these findings, elucidating how different variables impact the overall outcome. By combining these methodologies, researchers can achieve both a comprehensive narrative synthesis and a precise quantitative measure, enhancing the reliability and applicability of their conclusions. This integrated approach ensures that the findings are not only well-rounded but also statistically robust, providing greater confidence in the evidence base.

Why Don't All Systematic Reviews Use a Meta-Analysis?

Systematic reviews do not always have meta-analyses, due to variations in the data. For a meta-analysis to be viable, the data from different studies must be sufficiently similar, or homogeneous, in terms of design, population, and interventions. When the data shows significant heterogeneity, meaning there are considerable differences among the studies, combining them could lead to skewed or misleading conclusions. Furthermore, the quality of the included studies is critical; if the studies are of low methodological quality, merging their results could obscure true effects rather than explain them.

Protocol

A plan or set of steps that defines how something will be done. Before carrying out a research study, for example, the research protocol sets out what question is to be answered and how information will be collected and analysed.

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