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  1. Book ; Thesis: Allergic sensitization to common inhalant allergens and its association to the self report of atopic diseases in the elderly

    Wolkewitz, Martin

    results of the population based ESTHER study

    2005  

    Author's details vorgelegt von Martin Wolkewitz
    Subject code 616.97
    Language English
    Size 88, [14] Bl., graph. Darst., Kt., 30 cm
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Heidelberg, Univ., Diss., 2006
    HBZ-ID HT014850021
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2006 E 1681 order for loan Magazin

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  2. Article: Response to "Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician" by Tleyjeh et al.

    Wolkewitz, Martin / Martinuka, Oksana

    Open forum infectious diseases

    2021  Volume 9, Issue 1, Page(s) ofab614

    Language English
    Publishing date 2021-12-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2757767-3
    ISSN 2328-8957
    ISSN 2328-8957
    DOI 10.1093/ofid/ofab614
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Accounting for Competing Events in Multivariate Analyses of Hospital-Acquired Infection Risk Factors.

    Wolkewitz, Martin

    Infection control and hospital epidemiology

    2016  Volume 37, Issue 9, Page(s) 1122–1124

    Language English
    Publishing date 2016-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639378-0
    ISSN 1559-6834 ; 0195-9417 ; 0899-823X
    ISSN (online) 1559-6834
    ISSN 0195-9417 ; 0899-823X
    DOI 10.1017/ice.2016.162
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1714: 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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  4. Article ; Online: Estimating the Risk of Ventilator-associated Pneumonia as a Function of Time.

    Wolkewitz, Martin

    American journal of respiratory and critical care medicine

    2015  Volume 192, Issue 5, Page(s) 640–641

    MeSH term(s) Female ; Humans ; Intubation, Intratracheal/instrumentation ; Male ; Pneumonia, Bacterial/prevention & control
    Language English
    Publishing date 2015-05-01
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.201502-0282le
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uh II Zs.80: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Methodological challenges of analysing COVID-19 data during the pandemic.

    Wolkewitz, Martin / Puljak, Livia

    BMC medical research methodology

    2020  Volume 20, Issue 1, Page(s) 81

    MeSH term(s) Betacoronavirus ; Biomedical Research/standards ; Biomedical Research/statistics & numerical data ; COVID-19 ; Coronavirus Infections/epidemiology ; Data Analysis ; Data Collection ; Epidemiologic Research Design ; Global Health ; Humans ; Information Dissemination ; Pandemics ; Pneumonia, Viral/epidemiology ; Population Surveillance ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-14
    Publishing country England
    Document type Editorial
    ZDB-ID 2041362-2
    ISSN 1471-2288 ; 1471-2288
    ISSN (online) 1471-2288
    ISSN 1471-2288
    DOI 10.1186/s12874-020-00972-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Avoidable statistical pitfalls in analyzing length of stay in intensive care units or hospitals.

    Wolkewitz, Martin

    Critical care (London, England)

    2014  Volume 18, Issue 1, Page(s) 408

    MeSH term(s) Critical Illness ; Female ; Humans ; Intensive Care Units ; Male ; Respiration, Artificial/adverse effects ; Respiratory Tract Infections/etiology
    Language English
    Publishing date 2014-02-19
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2041406-7
    ISSN 1466-609X ; 1364-8535
    ISSN (online) 1466-609X
    ISSN 1364-8535
    DOI 10.1186/cc13735
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5517: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: A nationwide multistate analysis estimating the rates and risks of transferring critically ill COVID-19 patients during the Delta and Omicron waves in Germany

    Lottes, Matthäus / Grodd, Marlon / Grabenhenrich, Linus / Wolkewitz, Martin

    medRxiv

    Abstract: Background The spread of several SARS-CoV-2 variants of concern (VOC) led to increasing numbers of patients with coronavirus disease 2019 (COVID-19) in German intensive care units (ICU), resulting in capacity shortages and even transfers of COVID-19 ICU ... ...

    Abstract Background The spread of several SARS-CoV-2 variants of concern (VOC) led to increasing numbers of patients with coronavirus disease 2019 (COVID-19) in German intensive care units (ICU), resulting in capacity shortages and even transfers of COVID-19 ICU patients between federal states in late 2021. Comprehensive evidence on the impact of predominant VOC, in this case Delta and Omicron, on inter-hospital transfers of COVID-19 ICU patients remains scarce. Methods A retrospective cohort study was conducted from July 01, 2021 until May 31, 2022 using nationwide reimbursement inpatient count data of COVID-19 ICU patients and weekly sequence data of VOC in Germany. A multivariable Poisson regression analysis was performed to estimate incidence rates and incidence rate ratios (IRR) for competing events of transfer, discharge and death, adjusted for VOC infection, age group and sex. For corresponding risk estimation, a multistate model for the clinical trajectory in ICU was applied. Results Omicron versus Delta infection yielded estimated adjusted IRR of 1.23 (95% CI, 1.16 - 1.30) for transfer, 2.27 (95% CI, 2.20 - 2.34), for discharge and 0.98 (95% CI, 0.94 - 1.02) for death. For death in ICU, estimated adjusted IRR increased progressively with age up to 4.09 (95% CI, 3.74 - 4.47) for those 90 years and older. COVID-19 ICU patients with Omicron infection were at comparatively higher estimated risk of discharge, whereas the estimated risk of transfer and death were higher for those with Delta infection. Conclusions Inter-hospital transfers and discharges occurred more frequently in COVID-19 ICU patients with Omicron infection than in those with Delta infection, who in turn had a higher estimated risk of death. Age emerges as a relevant determinant for fatal clinical trajectories in COVID-19 ICU patients and imposes close therapeutic care.
    Keywords covid19
    Language English
    Publishing date 2023-04-03
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2023.03.31.23287964
    Database COVID19

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  8. Article ; Online: 'Methodological evaluation of bias in observational COVID-19 studies on drug effectiveness' - Author's reply.

    Wolkewitz, Martin / von Cube, Maja / Martinuka, Oksana

    Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases

    2021  Volume 27, Issue 7, Page(s) 1045

    MeSH term(s) Bias ; COVID-19 ; Humans ; Pharmaceutical Preparations ; SARS-CoV-2
    Chemical Substances Pharmaceutical Preparations
    Language English
    Publishing date 2021-05-15
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 1328418-6
    ISSN 1469-0691 ; 1470-9465 ; 1198-743X
    ISSN (online) 1469-0691
    ISSN 1470-9465 ; 1198-743X
    DOI 10.1016/j.cmi.2021.05.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4541: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 284: Show issues

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  9. Article ; Online: RE: "THE CLINICAL COURSE OF CORONAVIRUS DISEASE 2019 IN A US HOSPITAL SYSTEM: A MULTISTATE ANALYSIS".

    von Cube, Maja / Wolkewitz, Martin / Schumacher, Martin / Hazard, Derek

    American journal of epidemiology

    2021  Volume 190, Issue 8, Page(s) 1699–1700

    MeSH term(s) COVID-19 ; Hospitalization ; Hospitals ; Humans ; SARS-CoV-2
    Language English
    Publishing date 2021-02-22
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwab044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Un I Zs.310: Show issues Location:
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  10. Article: Methodological biases in observational hospital studies of COVID-19 treatment effectiveness: pitfalls and potential.

    Martinuka, Oksana / Hazard, Derek / Marateb, Hamid Reza / Mansourian, Marjan / Mañanas, Miguel Ángel / Romero, Sergio / Rubio-Rivas, Manuel / Wolkewitz, Martin

    Frontiers in medicine

    2024  Volume 11, Page(s) 1362192

    Abstract: Introduction: This study aims to discuss and assess the impact of three prevalent methodological biases: competing risks, immortal-time bias, and confounding bias in real-world observational studies evaluating treatment effectiveness. We use a ... ...

    Abstract Introduction: This study aims to discuss and assess the impact of three prevalent methodological biases: competing risks, immortal-time bias, and confounding bias in real-world observational studies evaluating treatment effectiveness. We use a demonstrative observational data example of COVID-19 patients to assess the impact of these biases and propose potential solutions.
    Methods: We describe competing risks, immortal-time bias, and time-fixed confounding bias by evaluating treatment effectiveness in hospitalized patients with COVID-19. For our demonstrative analysis, we use observational data from the registry of patients with COVID-19 who were admitted to the Bellvitge University Hospital in Spain from March 2020 to February 2021 and met our predefined inclusion criteria. We compare estimates of a single-dose, time-dependent treatment with the standard of care. We analyze the treatment effectiveness using common statistical approaches, either by ignoring or only partially accounting for the methodological biases. To address these challenges, we emulate a target trial through the clone-censor-weight approach.
    Results: Overlooking competing risk bias and employing the naïve Kaplan-Meier estimator led to increased in-hospital death probabilities in patients with COVID-19. Specifically, in the treatment effectiveness analysis, the Kaplan-Meier estimator resulted in an in-hospital mortality of 45.6% for treated patients and 59.0% for untreated patients. In contrast, employing an emulated trial framework with the weighted Aalen-Johansen estimator, we observed that in-hospital death probabilities were reduced to 27.9% in the "X"-treated arm and 40.1% in the non-"X"-treated arm. Immortal-time bias led to an underestimated hazard ratio of treatment.
    Conclusion: Overlooking competing risks, immortal-time bias, and confounding bias leads to shifted estimates of treatment effects. Applying the naïve Kaplan-Meier method resulted in the most biased results and overestimated probabilities for the primary outcome in analyses of hospital data from COVID-19 patients. This overestimation could mislead clinical decision-making. Both immortal-time bias and confounding bias must be addressed in assessments of treatment effectiveness. The trial emulation framework offers a potential solution to address all three methodological biases.
    Language English
    Publishing date 2024-03-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2024.1362192
    Database MEDical Literature Analysis and Retrieval System OnLINE

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