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Book ; Online ; E-Book: Evidence-Based Practice in Perioperative Cardiac Anesthesia and Surgery

Cheng, Davy C. H. / Martin, Janet / David, Tirone

2021

Abstract: This comprehensive yet concise book addresses current best practice in the combined areas of cardiac surgery and anesthesia, interventional minimally invasive cardiac procedures, perioperative management and monitoring, and critical care recovery. This ... ...

Author's details	edited by Davy C.H. Cheng, Janet Martin, Tirone David
Abstract	This comprehensive yet concise book addresses current best practice in the combined areas of cardiac surgery and anesthesia, interventional minimally invasive cardiac procedures, perioperative management and monitoring, and critical care recovery. This book not only provides the latest best practices in the perioperative management of cardiac surgical patients, but also it summarizes the current clinical guidelines and algorithms from leading cardiac programs and professional societies. Contemporary best practice approaches are written by experts from leading cardiac surgical centers. The preoperative, intraoperative and postoperative management and recovery of surgical patients, including medication, monitoring techniques, and innovative surgical procedures, are presented by experts in the field of cardiac anesthesia and surgery. Perioperative clinical care guidelines, postoperative recovery pathways and models of care are presented with supporting protocols. Evidence-Based Practice in Perioperative Cardiac Anesthesia and Surgery is aimed at all cardiac anesthesiology consultants, fellows, and trainees; all cardiac surgery consultants, fellows, and trainees; nurses in perioperative care and those involved in patient recovery management; cardiac program administrative professionals; and all critical care consultants and trainees looking after cardiovascular surgical patients in the modern era. .
Keywords	Anesthesiology ; Heart/Surgery ; Cardiac Surgery
Subject code	617.412
Language	English
Size	1 online resource (XIII, 769 p. 202 illus., 131 illus. in color.)
Edition	1st ed. 2021.
Publisher	Springer International Publishing ; Imprint: Springer
Publishing place	Cham
Document type	Book ; Online ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
ISBN	3-030-47887-4 ; 3-030-47886-6 ; 978-3-030-47887-2 ; 978-3-030-47886-5
DOI	10.1007/978-3-030-47887-2
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book: Cost effectiveness issues in gastrointestinal practice

Bardou, Marc / Martin, Janet

(Best practice & research : Clinical gastroenterology ; 27,6)

2013

Title variant	Cost-effectiveness issues in gastrointestinal practice
Author's details	Marc Bardou and Janet Martin, guest ed
Series title	Best practice & research : Clinical gastroenterology ; 27,6 Best practice & research Best practice & research ; Clinical gastroenterology
Collection	Best practice & research Best practice & research ; Clinical gastroenterology
Language	English
Size	S. 829 - 995 : graph. Darst.
Publisher	Elsevier
Publishing place	St. Louis, Mo. u.a.
Publishing country	Great Britain
Document type	Book
HBZ-ID	HT018105799
Database	Catalogue ZB MED Medicine, Health

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Shelf mark	Loan status	Location
Se 1098 -27,6-	verfügbar in Königswinter	Königswinter

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Article ; Online: "We Live Our Life Normal": A Qualitative Analysis of Nigerian Women's Health-Seeking Behavior during the COVID-19 Pandemic.

Ndu, Mary / Teachman, Gail / Martin, Janet / Nouvet, Elysee

International journal of environmental research and public health

2024 Volume 21, Issue 3

Abstract: Background: This study examined where women sought healthcare during the COVID-19 pandemic and their reasons for doing so. We aim to understand further how women accessed care during the COVID-19 pandemic to inform future preparedness and response ... ...

Abstract	Background: This study examined where women sought healthcare during the COVID-19 pandemic and their reasons for doing so. We aim to understand further how women accessed care during the COVID-19 pandemic to inform future preparedness and response efforts. This knowledge gained from this study can inform strategies to address existing gaps in access and ensure that women's health needs are adequately considered during emergencies. Methods: This study used an interpretive phenomenological-analysis approach to analyze data on women's experiences with healthcare in Nigeria as the COVID-19 pandemic progressed. Semi-structured interviews were conducted with 24 women aged 15 to 49 between August and November 2022 and were supplemented with three focus-group discussions. Results: Following our analysis, three superordinate themes emerged: (i) barriers to seeking timely and appropriate healthcare care, (ii) the influence of diverse health practices and beliefs on health-seeking behavior, and (iii) gendered notions of responsibility and of coping with financial challenges. Conclusions: This paper examined women's decision to seek or not seek care, the type of care they received, and where they went for care. Women felt that the COVID-19 pandemic affected their decision to seek or not seek care.
MeSH term(s)	Female ; Humans ; Qualitative Research ; Pandemics ; COVID-19/epidemiology ; Focus Groups ; Patient Acceptance of Health Care
Language	English
Publishing date	2024-02-24
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph21030265
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Increasing the reproducibility of research will reduce the problem of apophenia (and more).

Jones, Philip M / Martin, Janet

Canadian journal of anaesthesia = Journal canadien d'anesthesie

2021 Volume 68, Issue 8, Page(s) 1120–1134

Title translation	L’augmentation de la reproductibilité de la recherche réduira le problème de l’apophénie (entre autres).
MeSH term(s)	Humans ; Reproducibility of Results
Language	English
Publishing date	2021-05-07
Publishing country	United States
Document type	Editorial ; Comment
ZDB-ID	91002-8
ISSN	1496-8975 ; 0832-610X
ISSN (online)	1496-8975
ISSN	0832-610X
DOI	10.1007/s12630-021-02006-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 109: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Interpreting frequentist hypothesis tests: insights from Bayesian inference.

Sidebotham, David / Barlow, C Jake / Martin, Janet / Jones, Philip M

Canadian journal of anaesthesia = Journal canadien d'anesthesie

2023 Volume 70, Issue 10, Page(s) 1560–1575

Abstract: Randomized controlled trials are one of the best ways of quantifying the effectiveness of medical interventions. Therefore, when the authors of a randomized superiority trial report that differences in the primary outcome between the intervention group ... ...

Title translation	Interprétation des tests d’hypothèses fréquentistes : des enseignements tirés de l’inférence bayésienne.
Abstract	Randomized controlled trials are one of the best ways of quantifying the effectiveness of medical interventions. Therefore, when the authors of a randomized superiority trial report that differences in the primary outcome between the intervention group and the control group are "significant" (i.e., P ≤ 0.05), we might assume that the intervention has an effect on the outcome. Similarly, when differences between the groups are "not significant," we might assume that the intervention does not have an effect on the outcome. Nevertheless, both assumptions are frequently incorrect.In this article, we explore the relationship that exists between real treatment effects and declarations of statistical significance based on P values and confidence intervals. We explain why, in some circumstances, the chance an intervention is ineffective when P ≤ 0.05 exceeds 25% and the chance an intervention is effective when P > 0.05 exceeds 50%.Over the last decade, there has been increasing interest in Bayesian methods as an alternative to frequentist hypothesis testing. We provide a robust but nontechnical introduction to Bayesian inference and explain why a Bayesian posterior distribution overcomes many of the problems associated with frequentist hypothesis testing.Notwithstanding the current interest in Bayesian methods, frequentist hypothesis testing remains the default method for statistical inference in medical research. Therefore, we propose an interim solution to the "significance problem" based on simplified Bayesian metrics (e.g., Bayes factor, false positive risk) that can be reported along with traditional P values and confidence intervals. We calculate these metrics for four well-known multicentre trials. We provide links to online calculators so readers can easily estimate these metrics for published trials. In this way, we hope decisions on incorporating the results of randomized trials into clinical practice can be enhanced, minimizing the chance that useful treatments are discarded or that ineffective treatments are adopted.
MeSH term(s)	Humans ; Bayes Theorem ; Research Design ; Biomedical Research ; Benchmarking ; Randomized Controlled Trials as Topic
Language	English
Publishing date	2023-10-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	91002-8
ISSN	1496-8975 ; 0832-610X
ISSN (online)	1496-8975
ISSN	0832-610X
DOI	10.1007/s12630-023-02557-5
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Zs.A 109: Show issues

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Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Autoantibodies in Common Connective Tissue Diseases: A Primer for Laboratory Professionals.

Martin, Janet / Petryayeva, Eleonora / Khan, Waliul I

The journal of applied laboratory medicine

2022 Volume 7, Issue 1, Page(s) 114–136

Abstract: Background: Autoimmune connective tissue disorders are a significant health concern throughout the world with an estimated prevalence of 3% to 5%. They are associated with a variety of autoantibodies that play roles in their diagnosis, risk ... ...

Abstract	Background: Autoimmune connective tissue disorders are a significant health concern throughout the world with an estimated prevalence of 3% to 5%. They are associated with a variety of autoantibodies that play roles in their diagnosis, risk stratification, prognostication, and/or management. While some autoantibodies have been well-characterized for use in clinical laboratories, many more are in the research stage. Rapid transition from research to clinical practice, lack of clinical guidelines, and harmonization across a rapidly growing number of commercially available tests create numerous challenges to clinicians and laboratories. Content: This article briefly discusses common connective tissue disorders and their association with well-known autoantibodies, describes current methods used in clinical laboratories, and outlines their advantages and limitations in the context of these diseases. Summary: Understanding the role of specific autoantibodies and various methodologies for autoantibody testing are important for laboratory professionals who may be introducing/repatriating new tests, updating existing tests, or advising clinicians/patients about testing options/results. Collaboration between laboratory professional staff and clinicians, around the advantages and limitations of each methodology, is also important in their appropriate clinical utilization.
MeSH term(s)	Autoantibodies ; Autoimmune Diseases/diagnosis ; Autoimmune Diseases/epidemiology ; Connective Tissue Diseases/diagnosis ; Humans ; Laboratories ; Laboratories, Clinical
Chemical Substances	Autoantibodies
Language	English
Publishing date	2022-01-28
Publishing country	England
Document type	Journal Article
ISSN	2576-9456
ISSN	2576-9456
DOI	10.1093/jalm/jfab131
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Magnitude of COVID-19 deaths relative to other leading causes of death: a global analysis.

Chan, Eunice Y S / Cheng, Davy / Martin, Janet

BMJ open

2022 Volume 12, Issue 11, Page(s) e049689

Abstract: Objectives: To quantify the burden of death that COVID-19 contributes relative to the top three causes of death for all countries.: Design: We performed uncertainty analyses and created contour plots for COVID-19 mortality to place the number of ... ...

Abstract	Objectives: To quantify the burden of death that COVID-19 contributes relative to the top three causes of death for all countries. Design: We performed uncertainty analyses and created contour plots for COVID-19 mortality to place the number of COVID-19 deaths in context relative to the top three causes of death in each country, across a plausible range of values for two key parameters: case fatality rate and magnitude of under-reporting. Setting: All countries that have reported COVID-19 cases to the WHO and are included in the Global Burden of Disease Study by the Institute of Health Metrics and Evaluation. Main outcomes and measures: Monthly number of deaths caused by COVID-19 and monthly number of deaths caused by the top three causes of death for every country. Results: For countries that were particularly hard hit during the outbreak in 2020, most combinations of model parameters resulted in COVID-19 ranking within the top three causes of death. For countries not as hard hit on a per-capita basis, such as China and India, COVID-19 did not rank higher than the third leading cause of death at any combination of the model parameters within the given ranges. Up-to-date ranking of COVID-19 deaths relative to the top three causes of death for all countries globally is provided in an interactive online application. Conclusions: Estimating the country-level burden of death that COVID-19 contributes relative to the top three causes of death is feasible through contour graphs, even when the actual number of deaths or cases is unknown. This method can help convey importance by placing the magnitude of COVID-related deaths in context relative to more familiar causes of death by communicating when COVID-related deaths rank among the top three causes of death.
MeSH term(s)	Humans ; COVID-19 ; Cause of Death ; Causality ; Disease Outbreaks ; Uncertainty
Language	English
Publishing date	2022-11-25
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2599832-8
ISSN	2044-6055 ; 2044-6055
ISSN (online)	2044-6055
ISSN	2044-6055
DOI	10.1136/bmjopen-2021-049689
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Randomized Trials in Cardiac Anesthesia.

Martin, Janet / Bainbridge, Daniel

Journal of cardiothoracic and vascular anesthesia

2020 Volume 34, Issue 11, Page(s) 2884–2888

MeSH term(s)	Anesthesia, Cardiac Procedures ; Anesthesia, General ; Cardiac Surgical Procedures ; Humans ; Randomized Controlled Trials as Topic
Language	English
Publishing date	2020-06-10
Publishing country	United States
Document type	Editorial
ZDB-ID	1067317-9
ISSN	1532-8422 ; 1053-0770
ISSN (online)	1532-8422
ISSN	1053-0770
DOI	10.1053/j.jvca.2020.06.018
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 2203: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Impact of COVID-19 on excess mortality, life expectancy, and years of life lost in the United States.

Chan, Eunice Y S / Cheng, Davy / Martin, Janet

PloS one

2021 Volume 16, Issue 9, Page(s) e0256835

Abstract: This paper quantifies the net impact (direct and indirect effects) of the pandemic on the United States population in 2020 using three metrics: excess deaths, life expectancy, and total years of life lost. The findings indicate there were 375,235 excess ... ...

Abstract	This paper quantifies the net impact (direct and indirect effects) of the pandemic on the United States population in 2020 using three metrics: excess deaths, life expectancy, and total years of life lost. The findings indicate there were 375,235 excess deaths, with 83% attributable to direct, and 17% attributable to indirect effects of COVID-19. The decrease in life expectancy was 1.67 years, translating to a reversion of 14 years in historical life expectancy gains. Total years of life lost in 2020 was 7,362,555 across the USA (73% directly attributable, 27% indirectly attributable to COVID-19), with considerable heterogeneity at the individual state level.
MeSH term(s)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; COVID-19/mortality ; Cause of Death ; Child ; Child, Preschool ; Female ; Humans ; Infant ; Life Expectancy ; Male ; Middle Aged ; Pandemics ; SARS-CoV-2 ; United States/epidemiology
Language	English
Publishing date	2021-09-01
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1932-6203
ISSN (online)	1932-6203
DOI	10.1371/journal.pone.0256835
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Methodological and reporting quality assessment of network meta-analyses in anesthesiology: a systematic review and meta-epidemiological study.

Sehmbi, Herman / Retter, Susanne / Shah, Ushma J / Nguyen, Derek / Martin, Janet / Uppal, Vishal

Canadian journal of anaesthesia = Journal canadien d'anesthesie

2023 Volume 70, Issue 9, Page(s) 1461–1473

Abstract: Purpose: The scientific rigour of the conduct and reporting of anesthesiology network meta-analyses (NMAs) is unknown. This systematic review and meta-epidemiological study assessed the methodological and reporting quality of NMAs in anesthesiology.: ... ...

Title translation	Évaluation de la qualité méthodologique et de communication des méta-analyses en réseau en anesthésiologie : revue systématique et étude méta-épidémiologique.
Abstract	Purpose: The scientific rigour of the conduct and reporting of anesthesiology network meta-analyses (NMAs) is unknown. This systematic review and meta-epidemiological study assessed the methodological and reporting quality of NMAs in anesthesiology. Methods: We searched four databases, including MEDLINE, PubMed, Embase, and the Cochrane Systematic Reviews Database, for anesthesiology NMAs published from inception to October 2020. We assessed the compliance of NMAs against A Measurement Tool to Assess Systematic Reviews (AMSTAR-2), Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement for Network Meta-Analyses (PRISMA-NMA), and PRISMA checklists. We measured the compliance across various items in AMSTAR-2 and PRISMA checklists and provided recommendations to improve quality. Results: Using the AMSTAR-2 rating method, 84% (52/62) of NMAs were rated "critically low." Quantitatively, the median [interquartile range] AMSTAR-2 score was 55 [44-69]%, while the PRISMA score was 70 [61-81]%. Methodological and reporting scores showed a strong correlation (R = 0.78). Anesthesiology NMAs had a higher AMSTAR-2 score and PRISMA score if they were published in higher impact factor journals (P = 0.006 and P = 0.01, respectively) or followed PRISMA-NMA reporting guidelines (P = 0.001 and P = 0.002, respectively). Network meta-analyses from China had lower scores (P < 0.001 and P < 0.001, respectively). Neither score improved over time (P = 0.69 and P = 0.67, respectively). Conclusion: The current study highlights numerous methodological and reporting deficiencies in anesthesiology NMAs. Although the AMSTAR tool has been used to assess the methodological quality of NMAs, dedicated tools for conducting and assessing the methodological quality of NMAs are urgently required. Study registration: PROSPERO (CRD42021227997); first submitted 23 January 2021.
MeSH term(s)	Humans ; Network Meta-Analysis ; Anesthesiology ; Epidemiologic Studies ; Research Design ; Checklist ; Research Report
Language	English
Publishing date	2023-07-08
Publishing country	United States
Document type	Systematic Review ; Journal Article
ZDB-ID	91002-8
ISSN	1496-8975 ; 0832-610X
ISSN (online)	1496-8975
ISSN	0832-610X
DOI	10.1007/s12630-023-02510-6
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Zs.A 109: Show issues

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