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  1. Article ; Online: Favourable perioperative outcomes for children with SARS-CoV-2.

    Nepogodiev, Dmitri

    The British journal of surgery

    2020  Volume 107, Issue 13, Page(s) e644–e645

    MeSH term(s) Adolescent ; Age Factors ; COVID-19 ; Child ; Child, Preschool ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Cross Infection/prevention & control ; Elective Surgical Procedures/methods ; Elective Surgical Procedures/statistics & numerical data ; Emergencies ; Female ; Humans ; Internationality ; Male ; Pandemics/prevention & control ; Perioperative Care/methods ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Postoperative Complications/mortality ; Postoperative Complications/physiopathology ; Prognosis ; Risk Assessment ; Sex Factors ; Survival Analysis
    Keywords covid19
    Language English
    Publishing date 2020-10-19
    Publishing country England
    Document type Letter ; Multicenter Study ; Observational Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 2985-3
    ISSN 1365-2168 ; 0263-1202 ; 0007-1323 ; 1355-7688
    ISSN (online) 1365-2168
    ISSN 0263-1202 ; 0007-1323 ; 1355-7688
    DOI 10.1002/bjs.12038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Sustainable surgery: roadmap for the next 5 years.

    Nepogodiev, Dmitri / Bhangu, Aneel

    The British journal of surgery

    2022  Volume 109, Issue 9, Page(s) 790–791

    Language English
    Publishing date 2022-05-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2985-3
    ISSN 1365-2168 ; 0263-1202 ; 0007-1323 ; 1355-7688
    ISSN (online) 1365-2168
    ISSN 0263-1202 ; 0007-1323 ; 1355-7688
    DOI 10.1093/bjs/znac199
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Challenges of one-year longitudinal follow-up of a prospective, observational cohort study using an anonymised database: recommendations for trainee research collaboratives.

    Nepogodiev, Dmitri

    BMC medical research methodology

    2019  Volume 19, Issue 1, Page(s) 237

    Abstract: Background: Trainee research collaboratives (TRCs) have pioneered high quality, prospective 'snap-shot' surgical cohort studies in the UK. Outcomes After Kidney injury in Surgery (OAKS) was the first TRC cohort study to attempt to collect one-year ... ...

    Abstract Background: Trainee research collaboratives (TRCs) have pioneered high quality, prospective 'snap-shot' surgical cohort studies in the UK. Outcomes After Kidney injury in Surgery (OAKS) was the first TRC cohort study to attempt to collect one-year follow-up data. The aims of this study were to evaluate one-year follow-up and data completion rates, and to identify factors associated with improved follow-up rates.
    Methods: In this multicentre study, patients undergoing major gastrointestinal surgery were prospectively identified and followed up at one-year following surgery for six clinical outcomes. The primary outcome for this report was the follow-up rate for mortality at 1 year. The secondary outcome was the data completeness rate in those patients who were followed-up. An electronic survey was disseminated to investigators to identify strategies associated with improved follow-up.
    Results: Of the 173 centres that collected baseline data, 126 centres registered to participate in one-year follow-up. Overall 62.3% (3482/5585) of patients were followed-up at 1 year; in centres registered to collect one-year outcomes, the follow-up rate was 82.6% (3482/4213). There were no differences in sex, comorbidity, operative urgency, or 7-day postoperative AKI rate between patients who were lost to follow-up and those who were successfully followed-up. In centres registered to collect one-year follow-up outcomes, overall data completeness was 83.1%, with 57.9% (73/126) of centres having ≥95% data completeness. Factors associated with increased likelihood of achieving ≥95% data completeness were total number of patients to be followed-up (77.4% in centres with < 15 patients, 59.0% with 15-29 patients, 51.4% with 30-59 patients, and 36.8% with > 60 patients, p = 0.030), and central versus local storage of patient identifiers (72.5% vs 48.0%, respectively, p = 0.006).
    Conclusions: TRC methodology can be used to follow-up patients identified in prospective cohort studies at one-year. Follow-up rates are maximized by central storage of patient identifiers.
    MeSH term(s) Aged ; Data Collection/methods ; Data Collection/statistics & numerical data ; Databases, Factual/statistics & numerical data ; Digestive System Surgical Procedures/methods ; Digestive System Surgical Procedures/statistics & numerical data ; Education/methods ; Education/standards ; Education/statistics & numerical data ; Female ; Follow-Up Studies ; Guidelines as Topic/standards ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Outcome Assessment, Health Care/methods ; Outcome Assessment, Health Care/statistics & numerical data ; Prospective Studies
    Language English
    Publishing date 2019-12-12
    Publishing country England
    Document type Journal Article ; Multicenter Study ; Observational Study
    ZDB-ID 2041362-2
    ISSN 1471-2288 ; 1471-2288
    ISSN (online) 1471-2288
    ISSN 1471-2288
    DOI 10.1186/s12874-019-0857-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Re: Leaving surgical training: some of the reasons are in surgery.

    Nepogodiev, Dmitri

    ANZ journal of surgery

    2018  Volume 88, Issue 5, Page(s) 515–516

    MeSH term(s) Education, Medical, Graduate ; General Surgery/education ; Internship and Residency
    Language English
    Publishing date 2018-05-11
    Publishing country Australia
    Document type Letter ; Comment
    ZDB-ID 2050749-5
    ISSN 1445-2197 ; 1445-1433 ; 0004-8682
    ISSN (online) 1445-2197
    ISSN 1445-1433 ; 0004-8682
    DOI 10.1111/ans.14461
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Author response to: Comment on: Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries.

    Ledda, Virginia / Bhangu, Aneel / Nepogodiev, Dmitri

    The British journal of surgery

    2023  Volume 110, Issue 9, Page(s) 1241

    MeSH term(s) Humans ; Environment ; Health Personnel
    Language English
    Publishing date 2023-06-13
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2985-3
    ISSN 1365-2168 ; 0263-1202 ; 0007-1323 ; 1355-7688
    ISSN (online) 1365-2168
    ISSN 0263-1202 ; 0007-1323 ; 1355-7688
    DOI 10.1093/bjs/znad183
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  7. Article ; Online: Optimal usage of antibacterial sutures for wound closure in clinical trials addressing SSI - Authors' response.

    Ademuyiwa, Adesoji / Nepogodiev, Dmitri / Tabiri, Stephen / Bhangu, Aneel

    Lancet (London, England)

    2023  Volume 401, Issue 10387, Page(s) 1498

    MeSH term(s) Humans ; Surgical Wound Infection/prevention & control ; Anti-Bacterial Agents/therapeutic use ; Sutures
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-05-06
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(23)00666-9
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  8. Article ; Online: UK surgical trainees will continue to support European research collaboration.

    Nepogodiev, Dmitri

    Lancet (London, England)

    2016  Volume 388, Issue 10043, Page(s) 459–460

    MeSH term(s) European Union ; General Surgery/education ; Humans ; International Cooperation ; Research/education ; United Kingdom
    Language English
    Publishing date 2016-08-09
    Publishing country England
    Document type Letter
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(16)31151-5
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  9. Article ; Online: Collaborative research has direct patient benefit and merits recognition.

    Nepogodiev, Dmitri / Glasbey, James C

    Clinical medicine (London, England)

    2018  Volume 18, Issue 2, Page(s) 189

    Language English
    Publishing date 2018-04-03
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2048646-7
    ISSN 1473-4893 ; 1470-2118
    ISSN (online) 1473-4893
    ISSN 1470-2118
    DOI 10.7861/clinmedicine.18-2-189
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    Zs.A 5439: Show issues Location:
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  10. Article ; Online: Systematic review of preoperative and intraoperative colorectal Anastomotic Leak Prediction Scores (ALPS).

    Venn, Mary L / Hooper, Richard L / Pampiglione, Tom / Morton, Dion G / Nepogodiev, Dmitri / Knowles, Charles H

    BMJ open

    2023  Volume 13, Issue 7, Page(s) e073085

    Abstract: Objective: To systematically review preoperative and intraoperative Anastomotic Leak Prediction Scores (ALPS) and validation studies to evaluate performance and utility in surgical decision-making. Anastomotic leak (AL) is the most feared complication ... ...

    Abstract Objective: To systematically review preoperative and intraoperative Anastomotic Leak Prediction Scores (ALPS) and validation studies to evaluate performance and utility in surgical decision-making. Anastomotic leak (AL) is the most feared complication of colorectal surgery. Individualised leak risk could guide anastomosis and/or diverting stoma.
    Methods: Systematic search of Ovid MEDLINE and Embase databases, 30 October 2020, identified existing ALPS and validation studies. All records including >1 risk factor, used to develop new, or to validate existing models for preoperative or intraoperative use to predict colorectal AL, were selected. Data extraction followed CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies guidelines. Models were assessed for applicability for surgical decision-making and risk of bias using Prediction model Risk Of Bias ASsessment Tool.
    Results: 34 studies were identified containing 31 individual ALPS (12 colonic/colorectal, 19 rectal) and 6 papers with validation studies only. Development dataset patient populations were heterogeneous in terms of numbers, indication for surgery, urgency and stoma inclusion. Heterogeneity precluded meta-analysis. Definitions and timeframe for AL were available in only 22 and 11 ALPS, respectively. 26/31 studies used some form of multivariable logistic regression in their modelling. Models included 3-33 individual predictors. 27/31 studies reported model discrimination performance but just 18/31 reported calibration. 15/31 ALPS were reported with external validation, 9/31 with internal validation alone and 4 published without any validation. 27/31 ALPS and every validation study were scored high risk of bias in model analysis.
    Conclusions: Poor reporting practices and methodological shortcomings limit wider adoption of published ALPS. Several models appear to perform well in discriminating patients at highest AL risk but all raise concerns over risk of bias, and nearly all over wider applicability. Large-scale, precisely reported external validation studies are required.
    Prospero registration number: CRD42020164804.
    MeSH term(s) Humans ; Anastomosis, Surgical/adverse effects ; Anastomotic Leak/diagnosis ; Anastomotic Leak/etiology ; Colorectal Neoplasms/complications ; Risk Factors
    Language English
    Publishing date 2023-07-18
    Publishing country England
    Document type Journal Article ; Systematic Review
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2023-073085
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