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Selection bias occurs when the relationship between the exposure and outcomes changes from group to group due to systematic differences in the characteristics of the groups. In RCTs, this is typically controlled for by the randomization process, which should be blinded. Selection bias is much harder to control for in retrospec­tive studies. A common method by which a statistical adjustment is made is to per­form a propensity score analysis. However, propensity score analysis is not without criticism and in some instances may actually worsen the imbalance [15]. A more in- depth discussion of propensity score analysis is beyond the scope of text and readers should refer to other sources when faced with a paper that utilizes this technique.
Measurement bias comes in many forms and may result from a bias in the mea­sured exposure such as recall bias, a bias over time in the way the exposure is dened such as a change in diagnostic criteria or a bias in the way the observer performing measurements.
Confounding leads to an error in the interpretation of the interaction between exposure and outcome due to inadequate control of other variables. A confounding variable is one that is associated with both the exposure and the outcome but is not found in the causal pathway between the exposure and the outcome. For example, in a study of rectal cancer patients with neoadjuvant chemoradiation being the expo­sure and survival being the outcome, age of the patient is a confounding variable because age is likely associated with the likelihood of neoadjuvant therapy admin­istration and older patients are at greater risk of mortality. Confounding is an incred­ibly common and difcult issue in retrospective observational studies. Hence, investigators frequently use statistical models of different complexities to attempt to control for as much confounding as possible and it is the task of the reader to deter­mine whether enough confounding is accounted for to make the reported interaction between exposure and outcome believable. [16]
Z. Xu and B. Sklow
Was theStudy Large Enough andContinued Long Enough toMake theResults Believable?
Sample size and power was discussed earlier in the context of controlling for ran­dom error. To reiterate, a study or trial needs to be large enough to have a high chance of detecting a statistically signicant difference between groups.
A study needs to be continued for long enough and participants need to have been adequately followed up on for the effect of the exposure to be seen in the out­come. This obviously depends on the type of exposure and type of outcome. If we return to a rectal cancer example, a study looking at the impact of an enhanced recovery protocol on hospital length of stay after proctectomy may only need a fol­low up of a couple of weeks. However, if the study was instead looking at the impact of an enhanced recovery protocol on 30-day readmission, we would expect that the majority of the patients have at least a follow up of 30days in order to capture the event of interest. In RCTs, careful attention has to be paid to the completeness of follow up and dropout rate of participants. RCTs that exclude patients that were
1 Evaluating Evidence
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randomized but dropout risk biasing their results, therefore it is standard practice to analyze the results based on an intent-to-treat. This means that all patients that were randomized are analyzed as part of the original group they were randomized to. The reader should conrm that the paper clearly states an intention-to-treat analysis and also conrm the patient numbers within the results to the number of patients randomized.
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Final Thoughts
We all strive to make clinical decisions based on the best clinical evidence available. The analytical process involved in determining whether a study result can be applied to clinical practice is complex and should be interpreted in the context of what is already known. This unfortunately necessitates a discussion of publication bias. Publication bias may be the most difcult bias to overcome because it relates to hid­den information that the reader never gets a chance to assess. Negative studies are less likely to get published and if they are published, frequently end up in lower impact journals or never make it to manuscript from their abstract form. This unfor­tunately leads to a bias towards overestimation of treatment effects and is a bias that may not be correctable no matter how high quality the studies or the subsequent meta-analyses are [17].
Another common phenomenon in clinical literature is a heavy reliance on p- values and condence intervals. This has resulted in a lack of true critical evalua­tion of methodology and biases. The use of p-values is increasingly being criticized because of the potential impact of sample size on it. With a large enough sample size, the p-value will almost certainly be signicant, even though the effect size could be very small. Alternatively, a study with a small sample size may have insig­nicant p-values, but there could be a very large effect that wasn’t detected. While both p-values and condence intervals rely on statistical inference and sample size, condence intervals at least provide more information about the degree of uncer­tainty. [18]
Personal View
When evaluating a study or manuscript, the rst question to ask is what is the hypothesis or question the study is trying to answer? If not familiar with the evi­dence on the subject matter, a search of the literature might be required to determine if there is novelty of the study or if it provides a signicant contribution to the litera­ture. The other question one should ask is the study designed to answer the proposed hypothesis or question the authors are asking.
Assuming the study design is solid, we would then want to know if the study was powered adequately to show a difference or to prove or disprove the hypothesis. Was a power calculation done? In the results section, are the tables and gures for­matted properly with appropriate labels? Do the results make sense and are the data
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relative to the hypothesis? There are some studies where there is data overload and not relative to the question being asked. Does the study suffer from any kind of bias that could affect the results (e.g. selection bias, etc)? We would also want to know if the length of follow up was appropriate to answer the proposed question. For exam­ple, most studies looking at cancer survival have at least 5year follow up as 5year survival is the standard in the literature.
As far as the Discussion is concerned, is the length appropriate? It is not uncom­mon for the Discussion section to be too long and wordy, with extraneous informa­tion provided that is not relevant. The Discussion should highlight the novelty of the ndings and contain references to other previously published studies that are rele­vant. Lastly, are the conclusions appropriate and are they supported by the data? A study can only draw conclusions based on the data within the study and a conclu­sion must be supported by the data.
Conclusion
Ultimately, it is up to clinicians to weigh the risks and benets of their decisions and apply the available evidence to each unique patient, which may be the greatest chal­lenge to evidence-based medicine. So much of EBM is provisioned on the impor­tance of empirical data that it is easy to forget that to an individual patient, if they are unable to benet from the study, it doesn’t matter how high quality it was. The only way to do this effectively is to have a framework of skills to evaluate the evi­dence, integrate knowledge, and adapt evidence to the needs of our patients.
References
1. Thoma A, Eaves FF.A brief history of evidence-based medicine (EBM) and the contributions of Dr David Sackett. Aesthet Surg J. 2015;35:NP261–3.
2. Greenhalgh T.How to read a paper: the basics of evidence-based medicine and healthcare. Wiley; 2019.
3. Arya S, Schwartz TA, Ghaferi AA.Practical guide to meta-analysis. JAMA Surg. 2020;155:430.
4. Brasel K, Haider A, Haukoos J.Practical guide to survey research. JAMA Surg. 2020;155:351.
5. Brooke BS, Kaji AH, Itani KMF.Practical guide to cost-effectiveness analysis. JAMA Surg. 2020;155:250.
6. Davidson GH, Haukoos JS, Feldman LS.Practical guide to assessment of patient-reported outcomes. JAMA Surg. 2020;155:432.
7. Dossett LA, Kaji AH, Dimick JB.Practical guide to mixed methods. JAMA Surg. 2020;155:254.
8. Merkow RP, Schwartz TA, Nathens AB.Practical guide to comparative effectiveness research using observational data. JAMA Surg. 2020;155:349–50.
9. Neuman HB, Kaji AH, Haut ER.Practical guide to implementation science. JAMA Surg. 2020;155:434.
10. Scott JW, Schwartz TA, Dimick JB.Practical guide to health policy evaluation using observa­tional data. JAMA Surg. 2020;155:353.
11. Segev DL, Haukoos JS, Pawlik TM. Practical guide to decision analysis. JAMA Surg. 2020;155:436.
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12. Van Spall HG, Toren A, Kiss A, Fowler RA. Eligibility criteria of randomized controlled trials published in high-impact general medical journals: a systematic sampling review. JAMA. 2007;297(11):1233–40.
13. Popovic A, Huecker MR.Study Bias. In: StatPearls. StatPearls Publishing; 2022.
14. Ambrosius WT.Topics in biostatistics. Humana Press; 2007.
15. Guo S, Fraser M, Chen Q.Propensity score analysis: recent debate and discussion. J Soc Soc Work Res. 2020;11:463–82.
16. Groenwold RHH, Van Deursen AMM, Hoes AW, Hak E. Poor quality of reporting con­founding bias in observational intervention studies: a systematic review. Ann Epidemiol. 2008;18:746–51.
17. Guyatt GH, etal. GRADE guidelines: 5. Rating the quality of evidence—publication bias. J Clin Epidemiol. 2011;64:1277–82.
18. Greenland S, etal. Statistical tests, P values, condence intervals, and power: a guide to mis­interpretations. Eur J Epidemiol. 2016;31:337–50.
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Part I
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Inflammatory Bowel Disease
Surgical vs Medical Management
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ofSymptomatic Anal Fistulas inPatients withCrohn’s Disease
MeganObi andAmyL.Lightner
Introduction
Crohn’s disease (CD) is a chronic inammatory disease that predominantly affects the gastrointestinal (GI) tract. Along with ulcerative colitis (UC), it is thought to affect 1.3% of the US population and has an annual incidence of 3 to 20 cases per 100,000 [1, 2]. It is characterized by transmural inammation of the GI tract that results in intestinal wall damage. One of the most common presentations of CD is the formation of perianal stulas which affects anywhere from 5–40% of CD patients worldwide [3]. Unlike idiopathic anal stula that develop from occlusion and infection of the anal glands resulting in cryptoglandular abscesses, stulas related to CD are thought to be due to the inammatory process characteristic of CD which penetrates the mucosal lining of the GI tract [4]. Perianal stulizing disease is quite heterogeneous in its presentation, and complete remission is notoriously challenging to achieve. Therefore, medical and surgical management are both nec­essary to optimize patient outcomes.
CD patients with perianal stulizing disease report signicantly impaired quality of life, overall health, and physical and sexual function [5, 6]. At presentation of perianal disease, several patients may not have an underlying diagnosis of CD, as perianal stulas can be the initial presenting phenotype in 10% of CD patients [7]. The presence of a perianal stula alone predicts increased utilization of medications
2
M. Obi Department of General Surgery, Digestive Disease Surgical Institute, Cleveland Clinic, Cleveland, OH, USA e-mail: Obim2@ccf.org
A. L. Lightner (*) Department of Colorectal Surgery, Digestive Disease Surgical Institute, Cleveland Clinic, Cleveland, OH, USA
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 K. Umanskiy, N. Hyman (eds.), Difcult Decisions in Colorectal Surgery, Difcult Decisions in Surgery: An Evidence-Based Approach,
https://doi.org/10.1007/978-3-031-42303-1_2
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such as steroids and immunosuppressants, frequent re-hospitalizations, and likeli­hood of undergoing at least one surgical procedure given that perianal disease sig­nals a more severe phenotype of CD.Because the recurrence rate of perianal stulas is as high as 60% [3], treatment has required a multidisciplinary approach with medicine optimizing the underlying disease process and surgery attempting to ana­tomically close the internal opening(s).
PICO Table
Patients Patients with stula
in ano due to Crohn’s Disease
Intervention Comparator
Surgery Medical
therapy
Outcome Fistula healing, fecal continence, stula
stula recurrence
Diagnosis
Diagnosis of perianal stulas is commonly initiated by identication of symptoms commonly associated with stula presence. Patients can describe new onset recto­vaginal discharge, perianal erythema or skin irritation, perianal pain, air or stool in the urine, and pain with defecation. Systemic symptoms such as fever are rarely associated with perianal stulas [8]. A thorough history and physical exam evaluat­ing for skin tags, hemorrhoidal tissue, ssures, bleeding, and palpation and inspec­tion of areas of uctuance and external tract openings is the rst step in diagnosis. Subsequent imaging may be a helpful next step in better characterizing the underly­ing stula anatomy. In certain scenarios, this can be a useful adjunct to guide treatment.
The most common diagnostic imaging modalities include magnetic resonance imaging (MRI) and endoanal ultrasonography (EUS). MRI is typically the initial modality utilized for both diagnosis and follow-up as it is non-invasive, and can serve to help locate stula tract openings that would otherwise be difcult to nd on EUA as well as diagnose more complex stula tracts and locate clinically “silent” uid collections [9]. T2- weight sequencing with fat suppression is the optimal imaging technique but gadolinium-enhanced T1 weighted sequences can help dif­ferentiate uid/ gas from granulation tissue [10]. EUS, like MRI, can help identify internal tract openings as well as provide more anatomical details of the sphincter complex. It is limited though by its inability to identify ischioanal fossa or suprale­vator abscesses given poor penetration [11].
Computerized tomography (CT) and stulography are modalities that have been previously considered in the diagnosis of perianal stulas, but have been deemed to have poor accuracy and thus are not typically recommended for diagnostic pur­poses. There are few exceptions when stulography can provide additional informa­tion in the setting of particularly complex stulas [12]. In addition, in an acute clinical setting where CT may be more readily available, it can be a useful modality to expedite diagnosis and treatment of less clinically “silent” disease.
2 Surgical vs Medical Management of Symptomatic Anal Fistulas in Patients…
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Fig. 2.1 Axial image of a T2- weighted MRI of the pelvis demonstrating a complex trans­sphincteric stula and gluteal abscess (yellow arrows). (Adapted from Sharma etal. [14])
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The gold standard for diagnosis and treatment is an exam under anesthesia (EUA). EUAs can be performed in either lithotomy or prone positioning and have the benet of allowing for immediate treatment as well as diagnosis [12]. Experienced colorectal surgeons have been found to have up to 90% accuracy in their ability to detect and classify perianal disease [11]. Use of Hydrogen peroxide can be an adjunct with EUAs to help identify internal openings when not immedi­ately clear, and this method can be utilized with EUS as well. The combination of imaging and EUA results in a near 100% chance of accurate diagnosis [13] (Fig.2.1).
Park’s Classification
In the setting of CD, the incidence of perianal stulas increases as the transmural disease process extends distally, and is most common in the setting of Crohn’s proc­titis. Fistulas can tract to numerous locations including the perianal skin, rectum and bowel (entero-enteric), vagina (rectovaginal), bladder (entero-vesical) and intra­abdominally (entero-intra-abdominal), and can be singular or numerous in presenta­tion [3]. Specically in CD, anovaginal stulas are less common than anoperineal stulas [1517].
In 1976, Sir Alan Park published his classication system for perianal stulas that is still widely utilized today [17]. He described four types of stulas: inter­sphincteric, trans-sphincteric, suprasphincteric, and extrasphincteric [18]. Intersphincteric and trans-sphincteric stulas are the most common stulas accounting for about 45% and 30% of all perianal stulas respectively. Intersphincteric stulas penetrate through the internal sphincter but spare the external sphincter whereas trans-sphincteric stulas affect both the internal and external sphincters exiting below the level of the puborectalis muscle into the ischiorectal fossa. Suprasphincteric stulas occur in about 20% of cases and pen­etrate the internal sphincter and tract between in the plane between both
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sphincters superiorly over the puborectalis and external sphincter before extend­ing out to the perineum. Horseshoe abscesses form as this tract passes over the puborectalis into the supralevator space and downward into the ischiorectal fossa creating an abscess cavity round the rectum. Lastly, extrasphincteric stulas are amongst the rarest occurring in about 5% of cases. These stulas pass from the rectum, through the levators and ischiorectal fat encompassing the sphincter com­plexes, to exit via the perianal skin. Supercial stulas were not a part of Park’s original classication as they have no communication with the sphincter complex, but are more commonly associated with CD or post anorectal procedures (i.e. hemorrhoidectomy or sphincterotomies) [17] (Fig.2.2).
While the Park classication remains the most widely utilized, it fails in providing information related to complexity of disease and presence of proctitis [20]. The American Gastroenterological Association (AGA) proposed a classication system in 2003 that divided stulas into two categories: simple or complex. Complex stulas can be high trans-sphincteric stulas (tract runs through the upper two thirds of the external anal sphincter), have multiple external openings, multiple tracts, be associated with stricturing disease, or be related to active proctitis [21]. While this system has signi­cant prognostic value, it does not help with determining effective individualization of treatment. Additional classications such as the St James University Hospital Classication (1996), the Hughes- Cardiff classication (1978), and the Milligan­Morgan classication (1934) have been proposed but have not been used extensively due to their inability to translate to daily practice and lack of descriptive ability [20].
Levator Ani
Internal sphincter
Fig. 2.2 Parks’ classication of perianal stulas. (1) Supercial Fistula (2) Intersphinteric, Parks type 1 (3) Transphincteric, Parks type 2 (4) Suprasphincteric, Parks type 3 (5) Extrasphincteric, Parks type 4. (Adapted from Park etal. [19])
5
External sphincter
1
3
2
4
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Treatment Goals
The primary treatment goal is resolution of symptoms associated with the stula (i.e. drainage and pain) and complete closure of the stula tract without impairing continence. Ultimately, the goal is to improve patient quality of life while avoiding treatment complications including incontinence or major colorectal surgery that can result in stoma creation or bowel resection.
From a clinical standpoint, the Perianal Diseases Activity Index (PDAI) exists to assess quality of life and disease severity in regards to clinical improvement and response to therapy. It utilizes a 5-point Likert scale with scores of greater than 4 representing active stula disease with an accuracy of 87% [22, 23]. The Perianal Crohn’s Disease Activity Index (PCDAI) was also created to specically assess fea­tures of perianal CD such as abscess, stula, ssures and/or ulcers, stenosis and concomitant disease to determine disease severity as well as assess surgical success [22, 24]. Radiographic healing can also be determined in conjunction with clinical resolution. Typically, MRI is the modality of choice and healing is dened as lack of presence of a stula tract or internal opening [25]. While complete stula closure may remain the primary goal, in some instances symptom control may have to be enough to avoid multiple procedures that negatively affect a patient’s quality of life. Thorough discussions and shared decision making between the physician and patient are thus necessary to ensure proper individual balance between remission and symptom relief.
Medical Management
Corticosteroids
Corticosteroids do not play a signicant role in the treatment of stulizing CD.Prior studies found that corticosteroids had increased risk of worsened discharge and as well as increased surgical needs [26]. Corticosteroid use has only been proposed in the treatment of luminal disease with the caveat that any concern for perianal sepsis was addressed and well controlled prior to utilization [4].
Aminosalicylate (ASA) Derivatives
Aminosalicyclates (i.e. sulfasalazine and mesalazine) have also been found to have no role in the treatment of stulizing CD.Studies have demonstrated no clinical improvement for the treatment of CD despite their usefulness in the ulcerative coli­tis patient population [27].