11. Discussion

What to write

Discussion (including conclusion):

11a – Strengths and limitations of the management of this case

11b – Relevant medical literature

11c – Rationale for conclusions (including assessment of cause and effect)

11d – Main “take-away” lessons of this case report

Explanation

Case reports may offer new perspectives on new or rare diseases, unusual disease presentations, therapeutic interventions, or harms1. Succinctly discuss the key features of the case and what was learned. Basic mechanisms or principles (e.g., pathophysiological, immunological, social) and diagnostic challenges may be important, particularly if they help explain observations. Compare the results in the case with results from clinical trials and case reports2,3. Support recommendations for additional research with published references. It is important to transparently discuss limitations, including mentioning that the results from a single case may not be applicable to patients in general2.

The conclusion section is often brief and focuses on the primary lessons learned from the case report.

Examples

11a—Strengths and limitations of the management of this case

“The data which we have presented here have been limited by the restrictions of clinical practice, and in the appendix, we have outlined the major shortcomings of the pharmacokinetic calculations we have made. However, despite the difficulties in deriving accurate estimates of the true apparent volumes of distribution involved, the changes we have observed are too large merely to be accounted for by pharmacokinetic inaccuracies; indeed, any overestimation of the true volumes strengthens the argument. We believe that the changes we have observed are real and have contributed to the digoxin toxicity which occurred in these patients. Further characterization of the cause of the abnormal distribution of digoxin in renal failure by more precise prospective clinical studies is required.”

From Altered distribution of digoxin in renal failure—a case of digoxin toxicity?4

11b—Relevant medical literature

“Dr Barnard successfully used a hypothermic perfusion system to protect a donor heart for more than 16 hours in heterotopic HTx5. However, surgeons are more conservative while performing orthotopic HTx. Few series are using donor hearts with IT longer than 6 hours. Long-term follow-up of HTx recipients at Columbia University in New York and Alfred Hospital in Australia has demonstrated that prolonged IT (average 5 hours) did not adversely affect immediate or long-term survival or the incidence of transplant coronary artery disease6,7. The University of Western Ontario in Canada and The University of Alabama at Birmingham have also demonstrated that long-term survival of HTx was not affected by prolonged IT (longest times 457 minutes and 479 minutes, respectively)8,9.”

From Successful heart transplantation after 13 hours of donor heart ischemia with the use of HTK solution: a case report10.

11c—Rationale for conclusions (including assessment of cause and effect)

“The actual incidence of statin-exacerbated myasthenia is unknown, and only a handful of reports of statin-associated myasthenia gravis have ever been described. Out of six published case reports, only five patients were noted to have some degree of recovery and only one patient had a complete recovery upon termination of statin therapy.

How statins could appear to exacerbate MG is unclear. It is possible that the mechanism actually reflects a ‘double hit’ phenomenon of defective neuromuscular transmission secondary to antibody-mediated postsynaptic acetylcholine receptor dysfunction in combination with a statin-induced myopathy.

The clear development of a statin myopathy with simvastatin treatment before the onset of myasthenia in our patient is consistent with the possibility of a second (atorvastatin-induced) myopathy coalescing with the onset of myasthenia gravis. The symptomatic improvement that followed his withdrawal from atorvastatin treatment resulted from the resolution of this statin myopathy.

We also considered other potential causes of deterioration such as sepsis, steroid-induced worsening of MG, steroid myopathy, and cholinergic crisis, but we considered their development less likely based on clinical grounds.

We cannot rule out completely the possibility that the worsening of our patient’s MG simply reflected a progression of his MG. However, the clinical course of his condition, as well as the statin-induced proximal limb pain and weakness (without bulbar features) he experienced before his presentation, raises at the very least the possibility that a component of his initial deterioration was statin related.

Similarly, we note that his improvement could have reflected the immunosuppressive effects of therapy for his MG rather than the withdrawal of his atorvastatin treatment. It seems probable, however, that both factors played a significant role in the improvement of his clinical state.

The development of other autoimmune disorders such as dermatomyositis, polymyalgia rheumatica, vasculitis, and Lupus-like syndrome upon initiation of statin therapy raises the possibility that in predisposed individuals, statins may precipitate an immunological trigger that is analogous to penicillamine-induced MG although clearly different in temporal respect. However, given the paucity of reports and the widespread use of statins, the possibility of chance association cannot be excluded still.”

From Statin-associated weakness in myasthenia gravis: a case report11.

11d—Main “take-away” lessons of this case report

“This infant met the diagnostic criteria of the Medical Task Force on Anencephaly. Therefore, she was the longest surviving anencephalic infant who did not require any life-sustaining treatments such as intubation or feeding tubes. Knowing this rare possibility, the physician and family should make goal-oriented decisions on how to care for the infant. The provider should offer immunizations and well childcare to each family if the infant survives the immediate newborn period. This case should affect the practice of physicians who interact with expectant mothers of a child affected by anencephaly.”

From Prolonged unassisted survival in an infant with anencephaly12.

Training

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References

1.
Hauben. 2007;30.
2.
Cooper ID. How to write an original research paper (and get it published). Journal of the Medical Library Association : JMLA. 2015;103(2):67-68. doi:10.3163/1536-5050.103.2.001
3.
Davidson A, Delbridge E. How to write a research paper. Paediatrics and Child Health. 2012;22(2):61-65. doi:10.1016/j.paed.2011.05.009
4.
ARONSON JK, GRAHAME‐SMITH DG. ALTERED DISTRIBUTION OF DIGOXIN IN RENAL FAILURE—a CAUSE OF DIGOXIN TOXICITY? British Journal of Clinical Pharmacology. 1976;3(6):1045-1051. doi:10.1111/j.1365-2125.1976.tb00356.x
5.
Wicomb WN, Cooper DKC, Novitzky D, Barnard CN. Cardiac transplantation following storage of the donor heart by a portable hypothermic perfusion system. The Annals of Thoracic Surgery. 1984;37(3):243-248. doi:10.1016/s0003-4975(10)60333-5
6.
Morgan JA, John R, Weinberg AD, et al. Prolonged donor ischemic time does not adversely affect long-term survival in adult patients undergoing cardiac transplantation. The Journal of Thoracic and Cardiovascular Surgery. 2003;126(5):1624-1633. doi:10.1016/s0022-5223(03)01026-2
7.
Briganti. 1995;14.
8.
Del Rizzo DF, Menkis AH, Pflugfelder PW, et al. The role of donor age and ischemic time on survival following orthotopic heart transplantation. The Journal of Heart and Lung Transplantation. 1999;18(4):310-319. doi:10.1016/s1053-2498(98)00059-x
9.
Canter C, Naftel D, Caldwell R, et al. Survival and risk factors for death after cardiac transplantation in infants: A multi-institutional study. Circulation. 1997;96(1):227-231. doi:10.1161/01.cir.96.1.227
10.
Wei J, Chang CY, Chuang YC, et al. Successful heart transplantation after 13 hours of donor heart ischemia with the use of HTK solution: A case report. Transplantation Proceedings. 2005;37(5):2253-2254. doi:10.1016/j.transproceed.2005.03.055
11.
Keogh MJ, Findlay JM, Leach S, Bowen J. Statin-associated weakness in myasthenia gravis: A case report. Journal of Medical Case Reports. 2010;4(1). doi:10.1186/1752-1947-4-61
12.
Dickman H, Fletke K, Redfern RE. Prolonged unassisted survival in an infant with anencephaly. BMJ Case Reports. Published online October 2016:bcr2016215986. doi:10.1136/bcr-2016-215986

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).

Source.

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

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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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