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  1. AU="Schuit, Ewoud"
  2. AU=Sun Bingbing
  3. AU=d'Arminio Monforte Antonella
  4. AU="Sylvain Latour"
  5. AU="Velhal, S"
  6. AU="Lutz, Richard A"
  7. AU="Raveesh Kumar"
  8. AU="Andreas von Deimling"
  9. AU="Erik MeersauthorLaboratory of Analytical and Applied Ecochemistry, Faculty of Bioscience Engineering, University of Ghent, Coupure Links 653, 9000 Ghent, Belgium"
  10. AU="Thakkar, Nitya"
  11. AU="Hongtao Tie"
  12. AU="Bhati, Saurabh Kumar"
  13. AU="Choi, Hyunho"
  14. AU="Jayaprakash, Balamuralikrishna"
  15. AU="Lee, Brian H"
  16. AU="May, Susann"
  17. AU="Remondes-Costa, Sónia"
  18. AU="Lauren Sauer"
  19. AU="G Saiz, Paula"
  20. AU="Stoica, George"
  21. AU=Odorizzi Pamela M.
  22. AU=Pollaers Katherine
  23. AU="Stefanova, Veselina"
  24. AU="Geraldine M. O’Connor"
  25. AU="Jim E. Banta"
  26. AU="Marti-Bonmati, Luis"
  27. AU="Doris Kampner"
  28. AU="Luca Soraci"

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Treffer 1 - 10 von insgesamt 146

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  1. Artikel ; Online: Timing of recurrence after surgery in pelvic organ prolapse.

    Roos, Eveline J / Schuit, Ewoud

    International urogynecology journal

    2021  Band 32, Heft 8, Seite(n) 2169–2176

    Abstract: Objectives: The aim of this study was to determine when women are at risk for recurrent pelvic organ prolapse (POP).: Methods: From 2010 to 2018, all women with symptomatic prolapse, Pelvic Organ Prolapse Quantification (pop-Q) stage 2 in at least ... ...

    Abstract Objectives: The aim of this study was to determine when women are at risk for recurrent pelvic organ prolapse (POP).
    Methods: From 2010 to 2018, all women with symptomatic prolapse, Pelvic Organ Prolapse Quantification (pop-Q) stage 2 in at least one compartment and prolapse surgery were included. The primary outcome measure was POP recurrence. Kaplan-Meier estimates were calculated, survival curves were created, and differences in survival curves were tested with log-rank test. Cox proportional hazard regression was used to investigate associations between recurrence and the number and type of involved compartment(s) and type of surgery.
    Results: Forty-six (16.8%) out of 274 patients had POP recurrence during a mean follow-up time of 55 ± 32 months. The mean age was 64 ± 12 years. The hazard of recurrence increased the most in the first 2 years after POP surgery, flattened in years 3 and 4 and remained almost stable in the years thereafter, regardless of the site and number of involved compartment(s). The hazard of recurrence over time seemed the largest when all three compartments were involved. However, there was no statistically significant difference in recurrence between the numbers of (p = 0.65) or in the combination of involved compartments (p = 0.19). There was no difference in POP recurrence over time between prolapse repair with either sacrospinous ligament fixation or vaginal hysterectomy (p = 0.48).
    Conclusions: Women are at the highest risk of POP recurrence in the first 2 years after POP surgery independent of the number or combination of involved compartment(s).
    Mesh-Begriff(e) Aged ; Female ; Humans ; Hysterectomy, Vaginal ; Kaplan-Meier Estimate ; Middle Aged ; Pelvic Organ Prolapse/surgery ; Recurrence ; Treatment Outcome
    Sprache Englisch
    Erscheinungsdatum 2021-03-17
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 1050631-7
    ISSN 1433-3023 ; 0937-3462
    ISSN (online) 1433-3023
    ISSN 0937-3462
    DOI 10.1007/s00192-021-04754-6
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Availability of evidence and comparative effectiveness for surgical versus drug interventions: an overview of systematic reviews and meta-analyses.

    Zavalis, Emmanuel A / Rameau, Anaïs / Saraswathula, Anirudh / Vist, Joachim / Schuit, Ewoud / Ioannidis, John P

    BMJ open

    2024  Band 14, Heft 1, Seite(n) e076675

    Abstract: Objectives: This study aims to examine the prevalence of comparisons of surgery to drug regimens, the strength of evidence of such comparisons and whether surgery or the drug intervention was favoured.: Design: Systematic review of systematic reviews ...

    Abstract Objectives: This study aims to examine the prevalence of comparisons of surgery to drug regimens, the strength of evidence of such comparisons and whether surgery or the drug intervention was favoured.
    Design: Systematic review of systematic reviews (umbrella review).
    Data sources: Cochrane Database of Systematic Reviews.
    Eligibility criteria: Systematic reviews attempt to compare surgical to drug interventions.
    Data extraction: We extracted whether the review found any randomised controlled trials (RCTs) for eligible comparisons. Individual trial results were extracted directly from the systematic review.
    Synthesis: The outcomes of each meta-analysis were resynthesised into random-effects meta-analyses. Egger's test and excess significance were assessed.
    Results: Overall, 188 systematic reviews intended to compare surgery versus drugs. Only 41 included data from at least one RCT (total, 165 RCTs) and covered a total of 103 different outcomes of various comparisons of surgery versus drugs. A GRADE assessment was performed by the Cochrane reviewers for 87 (83%) outcomes in the reviews, indicating the strength of evidence was high in 4 outcomes (4%), moderate in 22 (21%), low in 27 (26%) and very low in 33 (32%). Based on 95% CIs, the surgical intervention was favoured in 38/103 (37%), and the drugs were favoured in 13/103 (13%) outcomes. Of the outcomes with high GRADE rating, only one showed conclusive superiority in our reanalysis (sphincterotomy was better than medical therapy for anal fissure). Of the 22 outcomes with moderate GRADE rating, 6 (27%) were inconclusive, 14 (64%) were in favour of surgery and 2 (9%) were in favour of drugs. There was no evidence of excess significance.
    Conclusions: Though the relative merits of surgical versus drug interventions are important to know for many diseases, high strength randomised evidence is rare. More randomised trials comparing surgery to drug interventions are needed.
    Mesh-Begriff(e) Humans ; Databases, Factual ; Sphincterotomy ; Systematic Reviews as Topic ; Meta-Analysis as Topic
    Sprache Englisch
    Erscheinungsdatum 2024-01-09
    Erscheinungsland England
    Dokumenttyp Journal Article ; Systematic Review
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2023-076675
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Cross-institution natural language processing for reliable clinical association studies: a methodological exploration.

    Sushil, Madhumita / Butte, Atul J / Schuit, Ewoud / van Smeden, Maarten / Leeuwenberg, Artuur M

    Journal of clinical epidemiology

    2024  Band 167, Seite(n) 111258

    Abstract: Objectives: Natural language processing (NLP) of clinical notes in electronic medical records is increasingly used to extract otherwise sparsely available patient characteristics, to assess their association with relevant health outcomes. Manual data ... ...

    Abstract Objectives: Natural language processing (NLP) of clinical notes in electronic medical records is increasingly used to extract otherwise sparsely available patient characteristics, to assess their association with relevant health outcomes. Manual data curation is resource intensive and NLP methods make these studies more feasible. However, the methodology of using NLP methods reliably in clinical research is understudied. The objective of this study is to investigate how NLP models could be used to extract study variables (specifically exposures) to reliably conduct exposure-outcome association studies.
    Study design and setting: In a convenience sample of patients admitted to the intensive care unit of a US academic health system, multiple association studies are conducted, comparing the association estimates based on NLP-extracted vs. manually extracted exposure variables. The association studies varied in NLP model architecture (Bidirectional Encoder Decoder from Transformers, Long Short-Term Memory), training paradigm (training a new model, fine-tuning an existing external model), extracted exposures (employment status, living status, and substance use), health outcomes (having a do-not-resuscitate/intubate code, length of stay, and in-hospital mortality), missing data handling (multiple imputation vs. complete case analysis), and the application of measurement error correction (via regression calibration).
    Results: The study was conducted on 1,174 participants (median [interquartile range] age, 61 [50, 73] years; 60.6% male). Additionally, up to 500 discharge reports of participants from the same health system and 2,528 reports of participants from an external health system were used to train the NLP models. Substantial differences were found between the associations based on NLP-extracted and manually extracted exposures under all settings. The error in association was only weakly correlated with the overall F1 score of the NLP models.
    Conclusion: Associations estimated using NLP-extracted exposures should be interpreted with caution. Further research is needed to set conditions for reliable use of NLP in medical association studies.
    Mesh-Begriff(e) Humans ; Male ; Middle Aged ; Female ; Natural Language Processing ; Intensive Care Units ; Electronic Health Records
    Sprache Englisch
    Erscheinungsdatum 2024-01-14
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 639306-8
    ISSN 1878-5921 ; 0895-4356
    ISSN (online) 1878-5921
    ISSN 0895-4356
    DOI 10.1016/j.jclinepi.2024.111258
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Prediction models for COVID-19 clinical decision making.

    Leeuwenberg, Artuur M / Schuit, Ewoud

    The Lancet. Digital health

    2020  Band 2, Heft 10, Seite(n) e496–e497

    Mesh-Begriff(e) Betacoronavirus ; COVID-19 ; Clinical Decision-Making ; Humans ; Pandemics ; SARS-CoV-2
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-09-22
    Erscheinungsland England
    Dokumenttyp Journal Article ; Comment
    ISSN 2589-7500
    ISSN (online) 2589-7500
    DOI 10.1016/S2589-7500(20)30226-0
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Availability of evidence and comparative effectiveness for surgical versus drug interventions: an overview of systematic reviews.

    Zavalis, Emmanuel A / Rameau, Anaïs / Saraswathula, Anirudh / Vist, Joachim / Schuit, Ewoud / Ioannidis, John P A

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: Objectives: To examine the prevalence of comparisons of surgery to drug regimens, the strength of evidence of such comparisons, and whether surgery or the drug intervention was favored.: Design: Systematic review of systematic reviews (umbrella ... ...

    Abstract Objectives: To examine the prevalence of comparisons of surgery to drug regimens, the strength of evidence of such comparisons, and whether surgery or the drug intervention was favored.
    Design: Systematic review of systematic reviews (umbrella review).
    Data sources: Cochrane Database of Systematic Reviews (CDSR).
    Eligibility criteria and synthesis of results: Using the search term "surg*" in CDSR, we retrieved systematic reviews of surgical interventions. Abstracts were subsequently screened to find systematic reviews that aimed to compare surgical to drug interventions; and then, among them, those that included any randomized controlled trials (RCTs) for such comparisons. Trial results data were extracted manually and synthesized into random-effects meta-analyses.
    Results: Overall, 188 systematic reviews intended to compare surgery versus drugs. Only 41 included data from at least one RCT (total, 165 RCTs with data) and covered a total of 103 different outcomes of various comparisons of surgery versus drugs. A GRADE assessment was performed by the Cochrane reviewers for 87 (83%) outcomes in the reviews, indicating the strength of evidence was high in 4 outcomes (4%), moderate in 22 (21%), low in 27 (26%) and very low in 33 (32%). Based on 95% confidence intervals, the surgical intervention was favored in 38/103 (37%), and the drugs were favored in 13/103 (13%) outcomes. Of the outcomes with high GRADE rating, only one showed conclusive superiority (sphincterotomy was better than medical therapy for anal fissure). Of the 22 outcomes with moderate GRADE rating, 6 (27%) were inconclusive, 14 (64%) were in favor of surgery, and 2 (9%) were in favor of drugs.
    Conclusions: Though the relative merits of surgical versus drug interventions are important to know for many diseases, high strength randomized evidence is rare. More randomized trials comparing surgery to drug interventions are needed.
    Protocol registration: https://osf.io/p9x3j.
    Sprache Englisch
    Erscheinungsdatum 2023-02-01
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2023.01.30.23285207
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Reply: To PMID 23333546.

    Schuit, Ewoud

    American journal of obstetrics and gynecology

    2013  Band 209, Heft 4, Seite(n) 394–395

    Mesh-Begriff(e) Female ; Fetal Monitoring/methods ; Humans ; Labor, Obstetric ; Pregnancy ; Pregnancy Trimester, Third
    Sprache Englisch
    Erscheinungsdatum 2013-10
    Erscheinungsland United States
    Dokumenttyp Comment ; Letter
    ZDB-ID 80016-8
    ISSN 1097-6868 ; 0002-9378
    ISSN (online) 1097-6868
    ISSN 0002-9378
    DOI 10.1016/j.ajog.2013.05.014
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Um I Zs.152: Hefte anzeigen Standort:
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  8. Artikel ; Online: Prediction models for COVID-19 clinical decision making

    Leeuwenberg, Artuur M / Schuit, Ewoud

    The Lancet Digital Health

    2020  Band 2, Heft 10, Seite(n) e496–e497

    Schlagwörter covid19
    Sprache Englisch
    Verlag Elsevier BV
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ISSN 2589-7500
    DOI 10.1016/s2589-7500(20)30226-0
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Replacing physical with virtual genetic tests: The importance of conscious methodological decisions.

    van Dijk, Wouter B / Schuit, Ewoud

    European journal of preventive cardiology

    2020  Band 27, Heft 15, Seite(n) 1637–1638

    Mesh-Begriff(e) Humans ; Hyperlipoproteinemia Type II ; Machine Learning
    Sprache Englisch
    Erscheinungsdatum 2020-03-10
    Erscheinungsland England
    Dokumenttyp Editorial ; Comment
    ZDB-ID 2626011-6
    ISSN 2047-4881 ; 2047-4873
    ISSN (online) 2047-4881
    ISSN 2047-4873
    DOI 10.1177/2047487320904525
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  10. Artikel ; Online: Prognostic Models Predicting Mortality in Preterm Infants: Systematic Review and Meta-analysis.

    van Beek, Pauline E / Andriessen, Peter / Onland, Wes / Schuit, Ewoud

    Pediatrics

    2021  Band 147, Heft 5

    Abstract: Context: Prediction models can be a valuable tool in performing risk assessment of mortality in preterm infants.: Objective: Summarizing prognostic models for predicting mortality in very preterm infants and assessing their quality.: Data sources: ...

    Abstract Context: Prediction models can be a valuable tool in performing risk assessment of mortality in preterm infants.
    Objective: Summarizing prognostic models for predicting mortality in very preterm infants and assessing their quality.
    Data sources: Medline was searched for all articles (up to June 2020).
    Study selection: All developed or externally validated prognostic models for mortality prediction in liveborn infants born <32 weeks' gestation and/or <1500 g birth weight were included.
    Data extraction: Data were extracted by 2 independent authors. Risk of bias (ROB) and applicability assessment was performed by 2 independent authors using Prediction model Risk of Bias Assessment Tool.
    Results: One hundred forty-two models from 35 studies reporting on model development and 112 models from 33 studies reporting on external validation were included. ROB assessment revealed high ROB in the majority of the models, most often because of inadequate (reporting of) analysis. Internal and external validation was lacking in 41% and 96% of these models. Meta-analyses revealed an average C-statistic of 0.88 (95% confidence interval [CI]: 0.83-0.91) for the Clinical Risk Index for Babies score, 0.87 (95% CI: 0.81-0.92) for the Clinical Risk Index for Babies II score, and 0.86 (95% CI: 0.78-0.92) for the Score for Neonatal Acute Physiology Perinatal Extension II score.
    Limitations: Occasionally, an external validation study was included, but not the development study, because studies developed in the presurfactant era or general NICU population were excluded.
    Conclusions: Instead of developing additional mortality prediction models for preterm infants, the emphasis should be shifted toward external validation and consecutive adaption of the existing prediction models.
    Mesh-Begriff(e) Humans ; Infant, Newborn ; Infant, Premature ; Infant, Premature, Diseases/mortality ; Models, Theoretical ; Prognosis
    Sprache Englisch
    Erscheinungsdatum 2021-04-18
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
    ZDB-ID 207677-9
    ISSN 1098-4275 ; 0031-4005
    ISSN (online) 1098-4275
    ISSN 0031-4005
    DOI 10.1542/peds.2020-020461
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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