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1

Schattner, A., A. Mate, M. Kushnir, and A. Korczyn. "Sick patient, normal tests." QJM 103, no. 2 (October 21, 2009): 117–19. http://dx.doi.org/10.1093/qjmed/hcp150.

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2

Mulley, A. G. "Screening Tests for the Healthy Patient." Journal of Urology 139, no. 1 (January 1988): 217. http://dx.doi.org/10.1016/s0022-5347(17)42367-6.

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3

Mulley, Albert G. "Screening Tests for the Healthy Patient." Medical Clinics of North America 71, no. 4 (July 1987): 625–37. http://dx.doi.org/10.1016/s0025-7125(16)30831-8.

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4

Coleman, Tim. "Near patient tests for smoking cessation." BMJ 331, no. 7523 (October 27, 2005): 979–80. http://dx.doi.org/10.1136/bmj.331.7523.979.

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5

Bower, H. "Near patient tests are poorly evaluated." BMJ 314, no. 7097 (June 21, 1997): 1781. http://dx.doi.org/10.1136/bmj.314.7097.1781k.

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6

Lavendar, E. "A memorable patient: Repeating the tests." BMJ 318, no. 7182 (February 20, 1999): 526. http://dx.doi.org/10.1136/bmj.318.7182.526.

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7

SAMPSON, CHARLES B. "Patient medication and nuclear medicine tests." Nuclear Medicine Communications 19, no. 6 (June 1998): 519. http://dx.doi.org/10.1097/00006231-199806000-00001.

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8

de Moerloose, Philippe, Henri Bounameaux, and Pier Mannucci. "Screening Tests for Thrombophilic Patients: Which Tests, for Which Patient, by Whom, When, and Why?" Seminars in Thrombosis and Hemostasis 24, no. 04 (August 1998): 321–27. http://dx.doi.org/10.1055/s-2007-996020.

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9

Delaney, Brendan C., and Fd Richard Hobbs. "Near patient tests forHelicobacter pyloriin primary care." European Journal of General Practice 4, no. 4 (January 1998): 149–54. http://dx.doi.org/10.3109/13814789809160810.

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10

Simpson, Elliott. "Glucose Tolerance Tests—Preparation of the Patient." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 24, no. 1 (January 1987): 115–16. http://dx.doi.org/10.1177/000456328702400124.

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11

Curry, Andy NG, and JM Tom Pierce. "Conventional and near-patient tests of coagulation." Continuing Education in Anaesthesia Critical Care & Pain 7, no. 2 (April 2007): 45–50. http://dx.doi.org/10.1093/bjaceaccp/mkm002.

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12

Horowitz, Steven H. "Analyze Patient Tests for Importance Before Ordering." JAMA Internal Medicine 179, no. 5 (May 1, 2019): 729. http://dx.doi.org/10.1001/jamainternmed.2018.8333.

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13

Rawal, Rachna, Fred R. Buckhold, and Jennifer M. Schmidt. "Analyze Patient Tests for Importance Before Ordering." JAMA Internal Medicine 179, no. 5 (May 1, 2019): 729. http://dx.doi.org/10.1001/jamainternmed.2018.8369.

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14

Abbasi, Jennifer. "Patient With Tetraplegia Tests Brain-Controlled Exoskeleton." JAMA 322, no. 22 (December 10, 2019): 2161. http://dx.doi.org/10.1001/jama.2019.19884.

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15

Bok, Sissela. "Informed Consent in Tests of Patient Reliability." JAMA: The Journal of the American Medical Association 267, no. 8 (February 26, 1992): 1118. http://dx.doi.org/10.1001/jama.1992.03480080088033.

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16

Bok, S. "Informed consent in tests of patient reliability." JAMA: The Journal of the American Medical Association 267, no. 8 (February 26, 1992): 1118–19. http://dx.doi.org/10.1001/jama.267.8.1118.

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17

Bender, Danielle, Avlin B. Imaeda, and Liana Fraenkel. "Patient Preferences for Colon Cancer Screening Tests." Gastrointestinal Endoscopy 69, no. 5 (April 2009): AB312. http://dx.doi.org/10.1016/j.gie.2009.03.882.

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18

Hochstetler, L. A., M. J. Flanigan, and V. S. Lim. "Abnormal endocrine tests in a hemodialysis patient." Journal of the American Society of Nephrology 4, no. 10 (April 1994): 1754–59. http://dx.doi.org/10.1681/asn.v4101754.

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Анотація:
A home hemodialysis patient with abnormal thyroid function tests and hyperprolactinemia is presented. Abnormal thyroid tests included low total triiodothyronine and low total thyroxine and free thyroxine; the latter was documented by the use of both RIA and direct dialysis equilibrium techniques. Serum thyroid-stimulating hormone was normal, and the thyroid-stimulating hormone response to thyrotropin-releasing hormone stimulation was in the low-normal range. Serum prolactin was elevated to more than twice the normal level, and the prolactin response to thyrotropin-releasing hormone was also blunted. The interpretation, pathogenesis, physiologic significance, and management of these abnormalities are discussed.
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19

Nakar, S., S. Vinker, S. Neuman, E. Kitai, and J. Yaphe. "Baseline tests or screening: what tests do family physicians order routinely on their healthy patients?" Journal of Medical Screening 9, no. 3 (September 1, 2002): 133–34. http://dx.doi.org/10.1136/jms.9.3.133.

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OBJECTIVE: The purpose of this study was to survey the attitudes of family doctors to the performance of baseline tests and to determine which doctors perform these tests. SETTING: Family physicians in a continuing medical education programme in Tel Aviv, Israel METHOD: An anonymous questionnaire was distributed focusing on performance of tests by doctors in healthy patients and not as part of a screening programme. RESULTS: Questionnaires were returned by 147 of 165 physicians surveyed (89% response rate). Baseline tests were performed by 98% of respondents: not routinely by 54%, 7% at the patient’s request, and 2% did not perform tests. The decision to perform baseline tests was influenced by the presence of other risk factors of disease (86%), patient age (61%), family history (59%), patient request for tests (24%), and patient sex (20%). The tests performed were blood counts, glucose, renal function tests, urinalysis, liver function tests, and electrocardiograms. Baseline tests were useful in case finding of new illnesses for 49% of physicians and 40% said the tests had proved useful during a subsequent illness. The remainder of the physicians found no use for baseline tests. Physicians from the former Soviet Union were more likely to favour baseline tests. CONCLUSION: Almost all of the physicians in this study reported that they perform baseline tests on most of their patients. Evidence based guidelines for these tests and education of physicians are needed.
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20

Herzog, Michael, and Jürgen Sengebusch. "Die Meningismus-Tests." Deutsche Heilpraktiker-Zeitschrift 13, no. 01 (February 2018): 35–36. http://dx.doi.org/10.1055/s-0043-125453.

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21

McPherson, Jean, and Alison Street. "Diagnostic Tests: Tests of haemostasis detection of the patient at risk of bleeding." Australian Prescriber 18, no. 2 (April 1, 1995): 38–41. http://dx.doi.org/10.18773/austprescr.1995.047.

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22

Berngardt, E. R., E. S. Zhabina, and T. V. Treshkur. "Exercise Stress Tests in Arrhythmology." Translational Medicine 6, no. 3 (July 21, 2019): 5–14. http://dx.doi.org/10.18705/2311-4495-2019-6-3-5-14.

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The review presents an analysis of literature data on the use of exercise stress tests in patients with disorders of heart rhythm and conduction, such as sinus node dysfunction, atrioventricular blockade, WPW-phenomenon, atrial fi brillation, canalopathy. The value of clinical and electrocardiographic parameters registered during the exercise stress tests for verifi cation of the diagnosis and determination of the patient management tactics is shown. Clinical examples from own practice are given.
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23

Broughton, P. M. G., and B. M. Buckley. "Performance requirements of tests performed nearer the patient." Scandinavian Journal of Clinical and Laboratory Investigation 47, no. 2 (1987): 99–104. http://dx.doi.org/10.3109/00365518709168876.

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24

Rose, David J. "1. The “heart patient”: what tests are helpful?" Medical Journal of Australia 170, no. 7 (April 1999): 330–36. http://dx.doi.org/10.5694/j.1326-5377.1999.tb127792.x.

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25

Basen-Engquist, Karen, Rachel T. Fouladi, Scott B. Cantor, Eileen Shinn, Dawen Sui, Mathilde Sharman, and Michele Follen. "Patient assessment of tests to detect cervical cancer." International Journal of Technology Assessment in Health Care 23, no. 2 (April 2007): 240–47. http://dx.doi.org/10.1017/s0266462307070171.

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Objectives:This study was undertaken to understand how women view characteristics of tests for cervical dysplasia, because these characteristics can affect patient decision-making about screening and follow-up.Methods:We recruited women who participated in a clinical trial of optical spectroscopy for the diagnosis of cervical dysplasia and used conjoint analysis to assess the women's preferences concerning test attributes. One group of women had a history of an abnormal Papanicolaou smear (diagnostic sample), while the other group did not (screening sample). Participants rated pairs of test scenarios that varied on characteristics such as test sensitivity and painfulness. Based on their responses, the relative importance of test sensitivity, specificity, timing of results feedback and treatment, and pain were calculated, and a cluster analysis was done to identify subgroups of participants with different preference patterns.Results:In the overall sample, sensitivity was the most important attribute, followed by timing, specificity, and pain. Cluster analysis revealed four distinct groups who placed varying importance on each characteristic. The participants in the cluster for which pain was the most important attribute were more likely to be diagnostic patients, non-white, and have low education levels. They also reported more anxiety and pain during the examination than participants in other clusters.Conclusions:To continue to reduce morbidity and mortality from cervical cancer, developers of new testing procedures should take into account test attributes such as these, which may affect adherence to screening and diagnostic follow-up to further minimize morbidity and mortality from cervical cancer.
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26

Tucker, Harry, Zain Masood, and Suresh Chhetri. "A confused patient with deranged liver function tests." Practical Neurology 20, no. 6 (June 2, 2020): 499–501. http://dx.doi.org/10.1136/practneurol-2020-002594.

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27

Gravier, Francis-Edouard, and Tristan Bonnevie. "Quels tests de terrains pour évaluer mon patient ?" Kinésithérapie, la Revue 18, no. 194 (February 2018): 33. http://dx.doi.org/10.1016/j.kine.2017.11.069.

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28

Kesänen, Jukka, Helena Leino-Kilpi, Dinah Arifulla, Mervi Siekkinen, and Kirsi Valkeapää. "Knowledge tests in patient education: A systematic review." Nursing & Health Sciences 16, no. 2 (November 21, 2013): 262–73. http://dx.doi.org/10.1111/nhs.12097.

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29

Camilo, Joel, Patricia Sanchez, and Laura Alba. "A Spotless Patient with Rocky Liver Function Tests." American Journal of Gastroenterology 105 (October 2010): S306. http://dx.doi.org/10.14309/00000434-201010001-00845.

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30

Geleris, Joshua D., George Shih, and Lia S. Logio. "Analyze Patient Tests for Importance Before Ordering—Reply." JAMA Internal Medicine 179, no. 5 (May 1, 2019): 730. http://dx.doi.org/10.1001/jamainternmed.2018.8336.

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31

Adesunloye, Bamidele A. "Factors Influencing Patient Choice of Colon Imaging Tests." American Journal of Medicine 120, no. 11 (November 2007): e35. http://dx.doi.org/10.1016/j.amjmed.2006.10.020.

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32

O'Brien, Christopher B. "The Hospitalized Patient with Abnormal Liver Function Tests." Clinics in Liver Disease 13, no. 2 (May 2009): 179–92. http://dx.doi.org/10.1016/j.cld.2009.02.010.

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33

Imamura, Teruhiko, Daniel Burkhoff, Daniel Rodgers, Sirtaz Adatya, Nitasha Sarswat, Gene Kim, Jayant Raikhelkar, et al. "Repeated Ramp Tests on Stable LVAD Patients Reveal Patient-Specific Hemodynamic Fingerprint." ASAIO Journal 64, no. 6 (2018): 701–7. http://dx.doi.org/10.1097/mat.0000000000000705.

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34

Bernstein, David N., Sreten Franovic, D. Grace Smith, Luke Hessburg, Nikhil Yedulla, Vasilios Moutzouros, and Eric C. Makhni. "Pediatric PROMIS Computer Adaptive Tests Are Highly Correlated With Adult PROMIS Computer Adaptive Tests in Pediatric Sports Medicine Patients." American Journal of Sports Medicine 48, no. 14 (November 11, 2020): 3620–25. http://dx.doi.org/10.1177/0363546520966034.

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Background: The Patient-Reported Outcomes Measurement Information System (PROMIS) is a powerful set of patient-reported outcome measures (PROMs) that are gaining popularity throughout orthopaedic surgery. The use of both adult and pediatric PROMIS questionnaires in orthopaedic sports medicine limits the value of the PROMIS in routine sports medicine clinical care, research, and quality improvement. Because orthopaedic sports medicine surgeons see patients across a wide age range, simplifying the collection of PROMIS computer adaptive tests (CATs) to a single set of questionnaires, regardless of age, is of notable value. Purpose/Hypothesis: The purpose was to determine the strength of the correlation between the pediatric and adult PROMIS questionnaires. We hypothesized that there would be a high correlation between the adult and pediatric versions for each PROMIS domain, thereby justifying the use of only the adult version for most sports medicine providers, regardless of patient age. Study Design: Cohort study (Diagnosis); Level of evidence, 2. Methods: Between December 2018 and December 2019, all pediatric sports medicine patients presenting to a single, academic, orthopaedic sports medicine clinic were asked to participate in the present study with their parents’ consent. Patients were asked to complete a set of adult PROMIS domains (Physical Function and/or Upper Extremity, Pain Interference, and Depression) as well as a set of pediatric PROMIS domains (Mobility and/or Upper Extremity, Pain Interference, and Depressive Symptoms). Concurrent validity was assessed using Pearson correlation coefficients ( r). Ceiling and floor effects were determined. Results: A total of 188 patients met our inclusion criteria. The correlation between the adult and pediatric PROMIS Upper Extremity, Physical Function and Mobility, Pain Interference, and Depression and Depressive Symptoms forms were high-moderate ( r = 0.68; P < .01), high-moderate ( r = 0.69; P < .01), high ( r = 0.78; P < .01), and high ( r = 0.85; P < .01), respectively. Both adult and pediatric depression-related PROMIS domains demonstrated notable floor effects (adult: 38%; pediatric: 24%). The pediatric PROMIS Upper Extremity domain demonstrated a ceiling effect (20%). Conclusion: Adult PROMIS CATs may be used in an orthopaedic sports medicine clinic for both adult and pediatric patients. Our findings will help decrease the amount of resources needed for the implementation and use of PROMs for patient care, research, and quality improvement in orthopaedic sports medicine clinics.
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35

Steingart, Richard M., Sylvia Wassertheil-Smoller, Nancy Budner, Jonathan Tobin, Joseph Wachspress, Lloyd Lense, John P. Wexler, and Susan Slagle. "The Clinical Use of Nuclear Exercise Tests." International Journal of Technology Assessment in Health Care 4, no. 4 (October 1988): 613–22. http://dx.doi.org/10.1017/s0266462300007662.

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In the mid-1970s, after decades of clinical use, the utility of electrocardiographic exercise testing for the evaluation of patients with suspected ischemic heart disease was critically examined and questioned. Concurrent with this critique, two sophisticated, more expensive and powerful “nuclear” exercise tests were introduced sequentially for clinical use: myocardial perfusion imaging with thallium-201 and radionuclide ventriculography with technetium 99m. The published indications for the two tests are similar, and both have been shown to offer advantages over ECG stress testing in selected populations. However, few data are available regarding the comparative utility of thallium versus ventriculographic imaging. As part of a prospective study to assess the efficacy of cardiovascular nuclear medicine studies, we undertook the present analysis to assess the clinical evolution of these tests and to elucidate factors responsible for clinicians' choice for the often competing examinations. The study examined 213 consecutive patient referrals for thallium scintigraphy and 183 referrals for ventriculography, ranging from patients with no symptoms or highly non-specific chest pain syndromes (21% of referrals) to patients with proven coronary disease (28% of the referrals). Twenty-one percent of patients were referred to confirm the clinical impression that the patient did not have coronary disease, 40% to confirm its presence, and 37% to determine its severity.Analyses were undertaken to determine the factors that dictated a preference for thallium scintigraphy rather than ventriculography; only the physician's intent in testing and level of training were significant predictors for a particular nuclear test.
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36

Islam, M. Akhtarul, MMR Khan, PM Basak, MM Khanam, and PM Bhattacharyya. "Evaluation of Liver Function Tests in Type2 Diabetic patients." TAJ: Journal of Teachers Association 29, no. 1 (December 3, 2018): 21–23. http://dx.doi.org/10.3329/taj.v29i1.39088.

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This was a descriptive cross-sectional comparative study carried out in Department of Medicine, Rajshahi Medical College Hospital and Rajshahi Diabetic Association Hospital from July 2008 to June 2010. 100 (one hundred) diagnosed type2 diabetic patients and 30 apparently healthy people were included. All of those study population were free from taking any hepatoxic drugs and free from any preexisting liver disease. This exclusion was done by history, through clinical examination and relevant investigations. The prevalence of abnormal serum bilirubin, ALT, AST, Alkaline phosphatase, prothrombin time and S. albumin were 6%, 30%, 7%, 6%, 54% and 12% respectively in type2 diabetic patients and 00%, 3.3%, 00%, 6.7%, 10% and 3.3% respectively in normal people. All the LFTs of type 2 diabetic patients were mildly abnormal except 2 patients (2%) had moderate elevation of ALT, 7 patient (7%) had markedly prolonged PT, and 1 patient (1%) had moderately decreased s. albumin. In normal people all LFTs abnormalities were mild.TAJ 2016; 29(1): 21-23
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37

Bauer, Kenneth A., Frits R. Rosendaal, and John A. Heit. "Hypercoagulability: Too Many Tests, Too Much Conflicting Data." Hematology 2002, no. 1 (January 1, 2002): 353–68. http://dx.doi.org/10.1182/asheducation-2002.1.353.

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Abstract It is now possible to identify hereditary and acquired risk factors in a substantial percentage of patients presenting with a venous thrombotic event. The clinician is faced with an ever-growing number of laboratory tests that can be ordered in such patients, and there is considerable uncertainty as to how this information should be utilized in patient management. Some have argued that widespread testing of thrombosis patients for prothrombotic abnormalities such as the factor V Leiden and prothrombin G20210A mutations has been prematurely adopted into clinical practice as there are few data that their identification leads to improved clinical outcomes. Dr. Rosendaal provides an overview of the epidemiology of venous thrombosis with an emphasis on hereditary and acquired risk factors. The presentation will include information obtained from properly designed case-control studies as well as family studies. While some have suggested treatment strategies for managing patients with hereditary thrombophilia with prior thrombotic events or for managing patients undergoing procedures associated with increased thrombotic risk, clinical decision making is complicated by the need to assess the risk of recurrence and the likely benefit of prolonged anticoagulation versus the associated bleeding risk. Drs. Bauer, Heit, and Rosendaal discuss their approaches to patient management. Case presentations are used to illustrate the impact of laboratory test results on decisions.
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38

Duggan, Anne, Robert Logan, Angela Knifton, and Richard Logan. "Accuracy of near-patient blood tests for Helicobacter pylori." Lancet 348, no. 9027 (August 1996): 617. http://dx.doi.org/10.1016/s0140-6736(05)64835-0.

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39

Wilcox, Mark H. "Accuracy of near-patient blood tests for Helicobacter pylori." Lancet 348, no. 9038 (November 1996): 1390. http://dx.doi.org/10.1016/s0140-6736(05)65462-1.

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40

Duggan, Anne, Robert Logan, Angela Knifton, and Richard Logan. "Accuracy of near-patient blood tests for Helicobacter pylori." Lancet 348, no. 9038 (November 1996): 1390. http://dx.doi.org/10.1016/s0140-6736(05)65463-3.

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41

Ross, Jeffrey S. "The Impact of Molecular Diagnostic Tests on Patient Outcomes." Clinics in Laboratory Medicine 19, no. 4 (December 1999): 815–31. http://dx.doi.org/10.1016/s0272-2712(18)30092-1.

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42

Stephenson, L. M., A. Mackie, and E. McCauley. "Performing urea breath tests in groups: patient satisfaction survey." Nuclear Medicine Communications 22, no. 3 (March 2001): 347. http://dx.doi.org/10.1097/00006231-200103000-00033.

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43

DITTAKAVI, SARMA S., and DHANJOO N. GHISTA. "GLUCOSE TOLERANCE TESTS MODELING & PATIENT-SIMULATION FOR DIAGNOSIS." Journal of Mechanics in Medicine and Biology 01, no. 02 (October 2001): 193–223. http://dx.doi.org/10.1142/s0219519401000258.

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Анотація:
Diabetes mellitus is a heterogeneous clinical syndrome characterized by hyperglycemia and long-term specific complications: retinopathy, neuropathy, nephropathy, and cardiomyopathy. Automatic neuropathy leads to visceral denervation producing a variety of clinical abnormalities: cardiac and respiratory dysrythaemias, gastrointestinal motility disorders, urinary bladder dysfunction and impotence. Diabetes mellitus is a leading cause of blindness; renal failure and limb amputation all over the world. The need to detect diabetic risk factors and treat organ disorders and complications associated with diabetes provides the impetus for us to develop the technology for assessment of diabetes, its etiology and severity, as well as for assessing the efficacy of pharmacological therapy. This paper concerns: (i) modelling of blood-glucose regulation and tolerance-testing, (ii) demonstrating patient-simulation of the blood-glucose regulatory models, by means of which the model parameters can be evaluated and related to physiological parameters, and (iii) elucidating how the glucose-regulatory system model's pole-zero representation and the blood glucose-insulin transfer-function can explain the blood glucose response data in intravenous and oral glucose tolerance tests. An easy-to-implement simple clinical-application method is developed to simulate the response of the blood-glucose regulatory model in diabetic patients during intravenous glucose tolerance test and to estimate the model parameters, which can then enable differential diagnosis of diabetes and its severity as well as in early detection of risk-to-diabetes. In the oral glucose-tolerance test, the role of the gut is to facilitate transport of glucose across the intestinal wall. The Michaelis-Menten equation, describing this enzyme-catalyzed reaction rate, can be employed to conclude that the intestinal glucose absorption rate into the blood-compartment from the gut during the oral glucose-tolerance test is constant, almost resembling a rectangular pulse Nevertheless, we have formulated a new rate-control model to simulate the oral glucose-tolerance test data, by means of the response-function of a second-order system of a single-compartment (consisting of the gut and the blood-glucose pool), with the oral glucose-bolus as the impulse-input. We have also demonstrated application of this rate-control model to patients undergoing oral glucose-tolerance test, to evaluate the model parameters. By categorizing the ranges of these parameters for normals and diabetics (varying from mild to severe), we can reliably apply this model and procedure clinically.
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44

Borriello, S. P. "Science, medicine, and the future: Near patient microbiological tests." BMJ 319, no. 7205 (July 31, 1999): 298–301. http://dx.doi.org/10.1136/bmj.319.7205.298.

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Frost, Elizabeth A. M. "“My Patient Needs Anesthesia.... Which Tests Should I Order?”." Topics in Pain Management 27, no. 11 (June 2012): 1–8. http://dx.doi.org/10.1097/01.tpm.0000415329.37453.68.

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MacDavitt, Kathryn, Jean Anne Cieplinski, and Veronica Walker. "Implementing Small Tests of Change to Improve Patient Satisfaction." JONA: The Journal of Nursing Administration 41, no. 1 (January 2011): 5–9. http://dx.doi.org/10.1097/nna.0b013e318200285b.

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Frosch, Peter J., Johannes Geier, Wolfgang Uter, and An Goossens. "Réaliser des tests épicutanés avec les produits du patient." Bio tribune magazine 32, no. 1 (November 2009): 6–13. http://dx.doi.org/10.1007/s11834-009-0118-1.

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Bosworth, Hayden B., Don C. Rockey, Erik K. Paulson, Donna Niedzwiecki, Wendy Davis, Linda L. Sanders, Judy Yee, et al. "Prospective Comparison of Patient Experience with Colon Imaging Tests." American Journal of Medicine 119, no. 9 (September 2006): 791–99. http://dx.doi.org/10.1016/j.amjmed.2006.02.013.

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