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  1. Article ; Online: Evaluation of appendicitis risk prediction models in adults with suspected appendicitis.

    Bhangu, A

    The British journal of surgery

    2019  Volume 107, Issue 1, Page(s) 73–86

    Abstract: Background: Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital ...

    Abstract Background: Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis.
    Methods: A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16-45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis).
    Results: Some 5345 patients across 154 UK hospitals were identified, of which two-thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut-off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut-off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent).
    Conclusion: Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision-making by identifying adults in the UK at low risk of appendicitis were identified.
    MeSH term(s) Adult ; Appendectomy/methods ; Appendicitis/surgery ; Decision Making ; Emergency Service, Hospital ; Humans ; Risk Assessment/methods
    Language English
    Publishing date 2019-12-03
    Publishing country England
    Document type Journal Article ; Review
    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.11440
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Challenges in recovery of elective surgery systems.

    Bhangu, Aneel

    Surgery

    2021  Volume 170, Issue 6, Page(s) 1650–1651

    MeSH term(s) Elective Surgical Procedures ; Humans ; Recovery of Function
    Language English
    Publishing date 2021-09-17
    Publishing country United States
    Document type Editorial ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 202467-6
    ISSN 1532-7361 ; 0039-6060
    ISSN (online) 1532-7361
    ISSN 0039-6060
    DOI 10.1016/j.surg.2021.08.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Should we be re-starting elective surgery?

    Simoes, J / Bhangu, A

    Anaesthesia

    2020  Volume 75, Issue 12, Page(s) 1563–1565

    MeSH term(s) Betacoronavirus ; COVID-19 ; Cohort Studies ; Coronavirus Infections ; Elective Surgical Procedures ; Humans ; Infections ; Pandemics ; Pneumonia, Viral ; Retrospective Studies ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-11-06
    Publishing country England
    Document type Editorial ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 80033-8
    ISSN 1365-2044 ; 0003-2409
    ISSN (online) 1365-2044
    ISSN 0003-2409
    DOI 10.1111/anae.15296
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Author response to: Collaborative research in surgery: a rising tide lifts all boats.

    Li, Elizabeth / Bhangu, Aneel

    The British journal of surgery

    2022  Volume 109, Issue 10, Page(s) e108

    Language English
    Publishing date 2022-05-09
    Publishing country England
    Document type Journal Article ; 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/znac171
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. 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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  6. Article ; Online: Collaborative research in surgery: a rising tide lifts all boats.

    Li, Elizabeth / Bhangu, Aneel

    The British journal of surgery

    2022  Volume 109, Issue 7, Page(s) 576–577

    Language English
    Publishing date 2022-03-29
    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/znac099
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. 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
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Postoperative antibiotics can be de-escalated after laparoscopic surgery for complex appendicitis.

    Bhangu, Aneel / Buchwald, Pamela / Ntirenganya, Faustin

    Lancet (London, England)

    2023  Volume 401, Issue 10374, Page(s) 323–324

    MeSH term(s) Humans ; Appendicitis/surgery ; Anti-Bacterial Agents/therapeutic use ; Appendectomy ; Postoperative Complications/surgery ; Laparoscopy ; Retrospective Studies ; Length of Stay ; Acute Disease
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-01-17
    Publishing country England
    Document type Journal Article
    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(22)02544-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. 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
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Author response to: Comment on: Evaluation of appendicitis risk prediction models in adults with suspected appendicitis.

    Matthews, J H / Nepogodiev, D / Bhangu, A

    The British journal of surgery

    2020  Volume 107, Issue 7, Page(s) e206

    MeSH term(s) Acute Disease ; Adult ; Appendectomy ; Appendicitis/diagnosis ; Appendicitis/surgery ; Humans
    Language English
    Publishing date 2020-04-23
    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 10.1002/bjs.11542
    Database MEDical Literature Analysis and Retrieval System OnLINE

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