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  1. Article ; Online: Never Events - the ongoing problem of the retained vaginal sponge/swab.

    Bolton, Helen

    BJOG : an international journal of obstetrics and gynaecology

    2016  Volume 124, Issue 1, Page(s) 142

    MeSH term(s) Contraceptive Devices, Female/adverse effects ; Contraceptive Devices, Female/statistics & numerical data ; Delivery, Obstetric/adverse effects ; Female ; Foreign Bodies/epidemiology ; Foreign Bodies/prevention & control ; Humans ; Incidence ; Medical Errors/statistics & numerical data ; Pregnancy ; Retrospective Studies ; Specimen Handling/adverse effects ; Specimen Handling/statistics & numerical data ; United Kingdom/epidemiology ; United States/epidemiology
    Language English
    Publishing date 2016-12-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.14041
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  2. Article ; Online: Patients are entitled to choose their surgeon.

    Bolton, Helen

    BJOG : an international journal of obstetrics and gynaecology

    2016  Volume 123, Issue 8, Page(s) 1369

    MeSH term(s) Choice Behavior ; Decompression, Surgical ; Humans ; Informed Consent ; Jurisprudence ; Patient Preference/legislation & jurisprudence ; Personal Autonomy ; Spinal Stenosis/surgery ; Surgeons
    Language English
    Publishing date 2016-08-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.13832
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  3. Article ; Online: The Montgomery ruling extends patient autonomy.

    Bolton, Helen

    BJOG : an international journal of obstetrics and gynaecology

    2015  Volume 122, Issue 9, Page(s) 1273

    MeSH term(s) Empirical Research ; Female ; Humans ; Informed Consent/legislation & jurisprudence ; Obstetric Labor Complications ; Patient Preference ; Patient Satisfaction ; Personal Autonomy ; Physician-Patient Relations ; Practice Guidelines as Topic ; Pregnancy ; United Kingdom
    Language English
    Publishing date 2015-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.13467
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  4. Article ; Online: Author's reply re: The Montgomery ruling extends patient autonomy.

    Bolton, Helen

    BJOG : an international journal of obstetrics and gynaecology

    2015  Volume 122, Issue 13, Page(s) 1851

    MeSH term(s) Female ; Humans ; Informed Consent ; Personal Autonomy ; Pregnancy
    Language English
    Publishing date 2015-12
    Publishing country England
    Document type Comment ; Letter
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.13722
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  5. Article ; Online: The perils of taking written consent for operative delivery during labour.

    Bolton, Helen

    BJOG : an international journal of obstetrics and gynaecology

    2015  Volume 122, Issue 9, Page(s) 1251

    MeSH term(s) Attitude to Health ; Female ; Humans ; Informed Consent/psychology ; Labor Stage, Second/psychology ; Labor, Obstetric ; Mothers/psychology ; Pain/psychology ; Physician-Patient Relations ; Practice Guidelines as Topic ; Pregnancy
    Language English
    Publishing date 2015-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.13496
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  6. Article ; Online: Saatchi's Medical Innovation Bill: progressive, unnecessary or dangerous?

    Bolton, Helen

    BJOG : an international journal of obstetrics and gynaecology

    2015  Volume 122, Issue 11, Page(s) 1436

    MeSH term(s) Government Regulation ; Health Services Accessibility/legislation & jurisprudence ; Humans ; Liability, Legal ; Neoplasms/therapy ; Therapies, Investigational ; United Kingdom
    Language English
    Publishing date 2015-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.13566
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  7. Article ; Online: Obesity and ovarian cancer risk: A systematic review.

    Foong, Ke Wei / Bolton, Helen

    Post reproductive health

    2017  Volume 23, Issue 4, Page(s) 183–198

    Abstract: The association between obesity and ovarian cancer risk has been extensively investigated, but studies have yielded inconsistent findings. This review aims to summarise and discuss the evidence generated to date. Articles published in English prior to ... ...

    Abstract The association between obesity and ovarian cancer risk has been extensively investigated, but studies have yielded inconsistent findings. This review aims to summarise and discuss the evidence generated to date. Articles published in English prior to August 2016 were retrieved from PubMed. Keywords included obesity, overweight, body size, body mass index, waist-hip ratio, waist circumference, body weight, ovarian cancer, ovarian carcinoma, ovarian neoplasm, and ovarian tumour. Eligible studies compared two or more groups of women, with at least one group in the overweight or obese category and one comprising normal weight controls. Summary data in the form of relative risk, hazard ratio, or odds ratio for each comparison group from individual studies were collated and reviewed. Forty-three studies were included in the final analysis, with a total of 3,491,943 participants. All studies included body mass index as an exposure measure, and a majority relied on self-reported measures from participants; 14 studies found a statistically significant positive association between ovarian cancer risk and higher body mass index, 26 studies found no significant association, and 3 studies found a negative association between ovarian cancer risk and higher body mass index. This review concludes that there is limited, inconsistent evidence of a positive association between obesity and ovarian cancer risk.
    MeSH term(s) Body Mass Index ; Female ; Humans ; Obesity/epidemiology ; Ovarian Neoplasms/epidemiology ; Risk Factors
    Language English
    Publishing date 2017-07-18
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2753537-X
    ISSN 2053-3705 ; 2053-3691
    ISSN (online) 2053-3705
    ISSN 2053-3691
    DOI 10.1177/2053369117709225
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    Zs.A 5557: Show issues Location:
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  8. Article ; Online: Can natural language processing be effectively applied for audit data analysis in gynaecological oncology at a UK cancer centre?

    McGowan, Mark / Correia Martins, Filipe / Keen, Jodi-Louise / Whitehead, Amelia / Davis, Ellie / Pathiraja, Pubudu / Bolton, Helen / Baldwin, Peter

    International journal of medical informatics

    2023  Volume 182, Page(s) 105306

    Abstract: Background: The British Gynaecological Cancer Society (BGCS) has highlighted the disparity of ovarian cancer outcomes in the UK compared to other European countries. Therefore, cancer quality assurance audits and subspecialty training are important in ... ...

    Abstract Background: The British Gynaecological Cancer Society (BGCS) has highlighted the disparity of ovarian cancer outcomes in the UK compared to other European countries. Therefore, cancer quality assurance audits and subspecialty training are important in improving the UK standard of care for these patients. The current workforce crisis afflicting the NHS creates difficulty in dedicating teams of clinicians to these audits. We present a single institution study to evaluate if NLP-generated code can improve the efficiency of ovarian cancer and subspeciality reaccreditations audits. We used the chat bot Google Bard to write Visual Basic Applications algorithms that utilise Excel files from electronic health records.
    Methods: Primary ovarian cancer data from 2019 to 2022 was retrospectively collected from the Cambridge University Hospital electronic health records. The surgical subspecialty reaccreditation audit analysed the 2022 surgical database. A modular coding approach with Google Bard was applied to generate audit algorithms. The time to complete these current audits was compared against the 2016 ovarian cancer and 2020 subspeciality reaccreditation audits.
    Results: The previous ovarian cancer audit conducted in 2016 required 3 clinicians for the 135 cases and data collection required 1800 min. Data analysis was completed in 300 min. The current ovarian cancer audit allocated 2 clinicians to the 600 surgical cases. Data collection was completed in 3120 min, 3360 min for code development and 720 min for testing. The 2020 subspecialty reaccreditation audit was completed in 360 min. The 2022 subspecialty reaccreditation audit was completed in 1680 min, with 960 min for code development, 240 for debugging and 480 min for testing.
    Conclusion: We have demonstrated that NLP-generated code can significantly increase the efficiency of surgical quality assurance audits by eliminating the need for manual data analysis. With the current trajectory of NLP development, increasingly complex algorithms can be developed with minimal programming knowledge.
    MeSH term(s) Female ; Humans ; Natural Language Processing ; Retrospective Studies ; Ovarian Neoplasms/surgery ; Data Collection ; United Kingdom ; Medical Audit
    Language English
    Publishing date 2023-12-02
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 1466296-6
    ISSN 1872-8243 ; 1386-5056
    ISSN (online) 1872-8243
    ISSN 1386-5056
    DOI 10.1016/j.ijmedinf.2023.105306
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  9. Article ; Online: Differentiating uterine sarcoma from leiomyoma: BET

    Smith, Janette / Zawaideh, Jeries Paolo / Sahin, Hilal / Freeman, Susan / Bolton, Helen / Addley, Helen Clare

    The British journal of radiology

    2021  Volume 94, Issue 1125, Page(s) 20201332

    Abstract: Although rare, uterine sarcoma is a diagnosis that no one wants to miss. Often benign leiomyomas (fibroids) and uterine sarcomas can be differentiated due to the typical low T2 signal intensity contents and well-defined appearances of benign leiomyomas ... ...

    Abstract Although rare, uterine sarcoma is a diagnosis that no one wants to miss. Often benign leiomyomas (fibroids) and uterine sarcomas can be differentiated due to the typical low T2 signal intensity contents and well-defined appearances of benign leiomyomas compared to the suspicious appearances of sarcomas presenting as large uterine masses with irregular outlines and intermediate T2 signal intensity together with possible features of secondary spread. The problem is when these benign lesions are atypical causing suspicious imaging features. This article provides a review of the current literature on imaging features of atypical fibroids and uterine sarcomas with an aide-memoire BET
    MeSH term(s) Contrast Media ; Diagnosis, Differential ; Female ; Humans ; Image Enhancement/methods ; Leiomyoma/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Sarcoma ; Uterine Neoplasms/diagnostic imaging ; Uterus/diagnostic imaging
    Chemical Substances Contrast Media
    Language English
    Publishing date 2021-05-05
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2982-8
    ISSN 1748-880X ; 0007-1285
    ISSN (online) 1748-880X
    ISSN 0007-1285
    DOI 10.1259/bjr.20201332
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  10. Article ; Online: A cautionary tale for medical managers.

    Bolton, Helen / Slack, Mark / Bird, Mike

    BJOG : an international journal of obstetrics and gynaecology

    2017  Volume 124, Issue 10, Page(s) 1536

    MeSH term(s) Gynecology/legislation & jurisprudence ; Hospital Administrators/legislation & jurisprudence ; Humans ; Malpractice/legislation & jurisprudence ; Obstetrics/legislation & jurisprudence ; Obstetrics and Gynecology Department, Hospital/legislation & jurisprudence ; Obstetrics and Gynecology Department, Hospital/organization & administration ; Social Responsibility ; United Kingdom
    Language English
    Publishing date 2017-09-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.14525
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