Evacuation proctography: a reappraisal of normal variability

2014 ◽  
Vol 16 (7) ◽  
pp. 538-546 ◽  
Author(s):  
S. Palit ◽  
C. Bhan ◽  
P. J. Lunniss ◽  
D. J. Boyle ◽  
M. A. Gladman ◽  
...  

2008 ◽  
Vol 15 (3) ◽  
pp. 93-100 ◽  
Author(s):  
Erica M. Ellis ◽  
Donna J. Thal

Abstract Clinicians are often faced with the difficult task of deciding whether a late talker shows normal variability or has a clinically significant language disorder. This article provides an overview of research investigating identification, characteristics, outcomes, and predictors of late talkers. Clinical implications for speech-language pathologists in the identification and treatment of children who are late talkers are discussed.



1985 ◽  
Vol 72 (S1) ◽  
pp. s111-s116 ◽  
Author(s):  
D. C. C. Bartolo ◽  
A. M. Roe ◽  
J. Virjee ◽  
N. J. McC. Mortensen


Author(s):  
Isabelle van Gruting ◽  
Aleksandra Stankiewicz ◽  
Kirsten Kluivers ◽  
Helena Blake ◽  
Ranee Thakar ◽  
...  


1990 ◽  
Vol 35 (4) ◽  
pp. 481-487 ◽  
Author(s):  
Arnold Wald ◽  
Bruce J. Caruana ◽  
Maija G. Freimanis ◽  
Dorothy H. Bauman ◽  
John P. Hinds


PEDIATRICS ◽  
1971 ◽  
Vol 47 (2) ◽  
pp. 470-470
Author(s):  
C. G. Eschenburg

Ordinarily, I am not an avid "Letters to the Editor" correspondent, but the article, "Poverty, Illness, and the Negro Child" (Pediatrics, 46:305) by Dr. Seham was the final straw. How long must we be constantly bombarded by the press–including "scientific" journals–with such sociologic clap-trap? Are there so many guilt-ridden people who have to join the bandwagon that no other voices are heard? Surely, physicians should realize that biologic organisms will group in a variable bellshaped curve. Why must we join the sociologists, politicians, and communists in trying to "flatten out" normal variability; producing (which is impossible) a nation of mediocre nebbishes.



2017 ◽  
Vol 123 (4) ◽  
pp. 876-883 ◽  
Author(s):  
Robert H. Brown ◽  
Robert J. Henderson ◽  
Elizabeth A. Sugar ◽  
Janet T. Holbrook ◽  
Robert A. Wise

Brown RH, Henderson RJ, Sugar EA, Holbrook JT, Wise RA, on behalf of the American Lung Association Airways Clinical Research Centers. Reproducibility of airway luminal size in asthma measured by HRCT. J Appl Physiol 123: 876–883, 2017. First published July 13, 2017; doi:10.1152/japplphysiol.00307.2017.—High-resolution CT (HRCT) is a well-established imaging technology used to measure lung and airway morphology in vivo. However, there is a surprising lack of studies examining HRCT reproducibility. The CPAP Trial was a multicenter, randomized, three-parallel-arm, sham-controlled 12-wk clinical trial to assess the use of a nocturnal continuous positive airway pressure (CPAP) device on airway reactivity to methacholine. The lack of a treatment effect of CPAP on clinical or HRCT measures provided an opportunity for the current analysis. We assessed the reproducibility of HRCT imaging over 12 wk. Intraclass correlation coefficients (ICCs) were calculated for individual airway segments, individual lung lobes, both lungs, and air trapping. The ICC [95% confidence interval (CI)] for airway luminal size at total lung capacity ranged from 0.95 (0.91, 0.97) to 0.47 (0.27, 0.69). The ICC (95% CI) for airway luminal size at functional residual capacity ranged from 0.91 (0.85, 0.95) to 0.32 (0.11, 0.65). The ICC measurements for airway distensibility index and wall thickness were lower, ranging from poor (0.08) to moderate (0.63) agreement. The ICC for air trapping at functional residual capacity was 0.89 (0.81, 0.94) and varied only modestly by lobe from 0.76 (0.61, 0.87) to 0.95 (0.92, 0.97). In stable well-controlled asthmatic subjects, it is possible to reproducibly image unstimulated airway luminal areas over time, by region, and by size at total lung capacity throughout the lungs. Therefore, any changes in luminal size on repeat CT imaging are more likely due to changes in disease state and less likely due to normal variability. NEW & NOTEWORTHY There is a surprising lack of studies examining the reproducibility of high-resolution CT in asthma. The current study examined reproducibility of airway measurements. In stable well-controlled asthmatic subjects, it is possible to reproducibly image airway luminal areas over time, by region, and by size at total lung capacity throughout the lungs. Therefore, any changes in luminal size on repeat CT imaging are more likely due to changes in disease state and less likely due to normal variability.



Radiology ◽  
1999 ◽  
Vol 211 (1) ◽  
pp. 223-227 ◽  
Author(s):  
Christopher J. Harvey ◽  
Steve Halligan ◽  
Clive I. Bartram ◽  
Nicholas Hollings ◽  
Anjou Sahdev ◽  
...  


Author(s):  
D.C.C. Bartolo ◽  
A.M. Roe ◽  
J. Virjee ◽  
N.J. Mc C. Mortensen


2009 ◽  
pp. 119-136 ◽  
Author(s):  
Barbara F. Westmoreland

In conclusion, this chapter provides an overview of the different types of normal EEG activity and benign variants that are seen in the EEG. One needs to be aware of the normal variability at different ages and different states of wakefulness, drowsiness, and sleep. Dr. Klass has stated that the “detection and interpretation of the EEG data derived from visual analysis involve matters of judgment and experience, which render clinical EEG an art as much as a science.”5



2019 ◽  
Vol 7 (7_suppl5) ◽  
pp. 2325967119S0039
Author(s):  
Ayoosh Pareek ◽  
Chad W. Parkes ◽  
Alexey A. Leontovich ◽  
Christopher D. Bernard ◽  
Aaron John Krych ◽  
...  

Objectives: Traditional pitching statistics (ERA, WHIP, etc) have been used as surrogates for pitcher performance without being validated. Even amongst healthy pitchers, the normal variability of these parameters has not yet been established. The purpose of this study was to determine the normal variability of basic and advanced pitching statistics in non-injured Major League Baseball (MLB) pitchers. It is our hope that this work will serve as the foundation for the identification and implementation of validated, pitcher dependent statistical measures that can be used to assess return to play performance following injury. Methods: Publicly available data from MLB Statcast and Pitch/Fx databases was used to analyze all non-injured MLB pitchers during 2015 and 2016 seasons who pitcher greater than 100 innings each season without injury. Traditional and advanced baseball pitching statistics were analyzed. The variability of each parameter was assessed by computing coefficient of variation (CV) between individual pitchers and across all pitchers. A CV below 10 is typically indicative of a relatively constant parameter, and parameters with a CV > 10 are generally considered inconsistent and unreliable. Results: A total of 118 pitchers met all inclusion criteria. For each of these healthy pitchers, 38 basic/traditional parameters and 17 advanced parameters were analyzed. Of the traditional pitcher statistics, only 1 (3%) demonstrated a CV value < 10 (average fastball velocity [FBv]; CV 1.5) (Figure 1). In advanced statistics, 9 of 17 (53%) variables demonstrated acceptable consistency as evidenced by a CV value < 10 (Figure 2). Release position from plate (release_pos_y) along with velocity from the plate (vy0) where the two most constant advanced parameters. When separated by pitch type, these two parameters were the most constant (lowest CV) in every pitch type. Conclusion: The validity and variability of baseball statistics as surrogate markers for performance after injury/surgery have not yet been evaluated. It is critical that baseball statistics undergo proper vetting prior to being used to assess recovery. This study reveals average fastball velocity and release position from the plate to be the least variable basic and advanced baseball statistics in MLB pitchers. In total, only 10 of the 55 statistics analyzed demonstrated acceptable consistency and reliability. This study can be further used to determine the minimum time that each of these variables needs to be followed to ensure an appropriate sample size is obtained to detect significant differences in pre- and post- injury performance. [Figure: see text][Figure: see text]



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