Bias in research

Šimundić, Ana Maria

doi:10.11613/bm.2013.003

Cited by 141 publications

(103 citation statements)

References 6 publications

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“…The data collected from the three hospitals excluded private hospitals. Whenever cross-sectional studies occur exclusively in hospital settings, there is the potential for 'admission bias', and so the women studied do not reflect the population of SA [22]. The maternal and neonatal services available at each of the three hospitals may influence the interpretation of results.…”

Section: Data Sources/measurementmentioning

confidence: 99%

Adherence to clinical practice guidelines for South Australian pregnant women with cardiac conditions between 2003 and 2013

et al. 2020

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Background For pregnant women with a known cardiac condition or those who develop cardiac disease during pregnancy, there is an increased risk of complications during pregnancy, to both mother and foetus. To reduce this risk, best practice guidelines have been developed and available in South Australia for several years. Measuring clinical practice against the guideline recommendations verifies real-life practice and an essential part of any clinical practice quality improvement project by identifying gaps. This study is the first report on adherence to statewide perinatal guidelines for these women in South Australia.

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Section: Data Sources/measurementmentioning

confidence: 99%

Adherence to clinical practice guidelines for South Australian pregnant women with cardiac conditions between 2003 and 2013

et al. 2020

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“…It revealed a significant relationship between RER and Lumen %CO2 (F(1,63) = 18.54, p < 0.0001, y = 6.111x -0.7445; Figure 4), with a fixed but not proportional bias, as expected from the nature of the different units (x-intercept = 0.1218). A Bland-Altman plot was done to discuss limit of association (Giavarina, 2015) between RER and Lumen %CO2. Bland-Altman plots are used to calculate the level of agreements between two measures by studying the mean difference between measurements and constructing limits of agreement (Bland and Altman, 1986).…”

Section: Resultsmentioning

confidence: 99%

Validity of the Lumen^®hand-held metabolic device to measure fuel utilization in healthy young adults

Lorenz

Yeshurun²,

Aziz³

et al. 2020

Preprint

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Objective: To evaluate the validity of a novel hand-held device (Lumen®) for measuring metabolic fuel utilization in healthy young adults. Background: Metabolic carts measure the carbon dioxide produced and oxygen consumed from the breath in order to assess metabolic fuel usage (carbohydrates vs. fats). However, these systems are expensive, time-consuming, and only available in the clinic. A small handheld device capable of measuring metabolic fuel via CO2 was developed. Approach: Metabolic fuel usage was assessed in healthy participants (n = 33; age: 23.1 ± 3.9 y) via respiratory exchange ratio (RER) values from the "gold-standard" metabolic cart as well as %CO2 from the Lumen device. Measurements were performed at rest in two conditions, fasting, and after consuming 150 grams of glucose in order to determine changes in metabolic fuel. Major axis regression was performed as well as Bland-Altman plots and linear regressions to test for agreement between RER and Lumen %CO2. Main results: Both RER and Lumen %CO2 significantly increased after glucose intake compared with fasting conditions (p < 0.0001). Regression analyses and Bland-Altman plots revealed an agreement between the two measurements (mean bias = 3.505; limits of agreement = 2.784 -4.226) with a fixed bias resulting from the nature of the different units. Significance: This study shows the validity of Lumen® to estimate metabolic fuel utilization in a comparable manner with the "gold-standard" metabolic cart, conveniently providing real-time metabolic information for users anywhere.

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“…Based on sera availability, quantity and quality, the sampling method used in the study resulted in some years, provinces, state veterinarian areas and farms being excluded, under or over represented, thus creating selection bias (Šimundić, ). Similar challenges were observed with other studies, especially those involving wildlife species (Table ).…”

Section: Discussionmentioning

confidence: 99%

Seroprevalence of Rift valley fever in South African domestic and wild suids (1999–2016)

Lubisi

Ndouvhada

Neiffer

et al. 2019

Transbound Emerg Dis

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Rift valley fever (RVF) is a vector‐borne viral disease of domestic ruminants, camels and man, characterized by widespread abortions and neonatal deaths in animals, and flu‐like symptoms, which can progress to hepatitis and encephalitis in humans. The disease is endemic in Africa, Saudi Arabia and Yemen, and outbreaks occur after periods of high rainfall, or in environments supporting the proliferation of RVF virus (RVFV)‐infected mosquito vectors. The domestic and wild animal maintenance hosts of RVFV, which may serve as sources of virus during inter‐epidemic periods (IEPs) and contribute to occurrence of sporadic outbreaks, remain unknown, although reports indicate that the African buffalo (Syncerus caffer) may play a role. Due to the close proximity of the habitats of domestic pigs and warthogs to those of known domestic and wild ruminant RVFV maintenance hosts respectively, our study investigated their possible role in the epidemiology of RVF in South Africa by evaluating RVFV exposure and seroconversion in suids. A total of 107 warthog and 3,984 domestic pig sera from 2 and all 9 provinces of South Africa, respectively, were screened for presence of RVFV neutralizing antibodies using the virus neutralization test (VNT). Sero‐positivity rates of 1.87% (95% CI: 0.01%–6.9%) and 0.68% (95% CI: 0.49%–1.04%) were observed for warthogs and domestic pigs, respectively, but true prevalence rates, taking test sensitivity and specificity into account, were lower for both groups. There was a strong association between the results of the two groups (χ2 = 0.75, p = .38), and differences in prevalence between the epidemic and IEPs were non‐significant for all suid samples tested (p > .05). This study, which provides the first evidence of probable exposure and infection of South African domestic pigs and warthogs to RVFV, indicates that further investigations are warranted, to fully clarify the role of suids in the epidemiology of RVF.

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Bias in research

Cited by 141 publications

References 6 publications

Adherence to clinical practice guidelines for South Australian pregnant women with cardiac conditions between 2003 and 2013

Adherence to clinical practice guidelines for South Australian pregnant women with cardiac conditions between 2003 and 2013

Validity of the Lumen^®hand-held metabolic device to measure fuel utilization in healthy young adults

Seroprevalence of Rift valley fever in South African domestic and wild suids (1999–2016)

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Bias in research

Cited by 141 publications

References 6 publications

Adherence to clinical practice guidelines for South Australian pregnant women with cardiac conditions between 2003 and 2013

Adherence to clinical practice guidelines for South Australian pregnant women with cardiac conditions between 2003 and 2013

Validity of the Lumen®hand-held metabolic device to measure fuel utilization in healthy young adults

Seroprevalence of Rift valley fever in South African domestic and wild suids (1999–2016)

Contact Info

Product

Resources

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Validity of the Lumen^®hand-held metabolic device to measure fuel utilization in healthy young adults