Multi-stakeholder opinion statement on the care of individuals born with differences of sex development: common ground and opportunities for improvement.

BACKGROUND: In the last 15 years, the care provided for individuals born with differences of sex development (DSD) has evolved, with a strong emphasis on interdisciplinary approaches. However, these developments have not convinced some stakeholders to embrace the current model of care. This care model has also paid insufficient attention to socio-cultural differences and global inequalities. SUMMARY: This article is an opinion statement, resulting from in-depth discussions and reflection among clinicians, patients, and family support organizations based in the US and Europe, where we seek areas of common ground and try to identify opportunities to further develop resources. The product of these conversations is summarized in 10 panels. The corresponding sections provide additional discussion on some of the panel items. KEY MESSAGES: Participants identified areas of agreement and gained a deeper understanding of the reasons behind disagreements on certain matters and identified the necessary steps to foster future consensus. We offer preliminary recommendations for guiding clinical management and resource allocation. By promoting a broader consensus, we aim to enhance the quality of care and well-being for individuals of all ages who have a DSD.

A comprehensive review of the new FIGO classification of ovulatory disorders.

BACKGROUND: The World Health Organization (WHO) system for the classification of disorders of ovulation was produced 50 years ago and, by international consensus, has been updated by the International Federation of Gynecology and Obstetrics (FIGO). OBJECTIVE AND RATIONALE: This review outlines in detail each component of the FIGO HyPO-P (hypothalamic, pituitary, ovarian, PCOS) classification with a concise description of each cause, and thereby provides a systematic method for diagnosis and management. SEARCH METHODS: We searched the published articles in the PubMed database in the English-language literature until October 2022, containing the keywords ovulatory disorders; ovulatory dysfunction; anovulation, and each subheading in the FIGO HyPO-P classification. We did not include abstracts or conference proceedings because the data are usually difficult to assess. OUTCOMES: We present the most comprehensive review of all disorders of ovulation, published systematically according to the logical FIGO classification. WIDER IMPLICATIONS: Improving the diagnosis of an individual's ovulatory dysfunction will significantly impact clinical practice by enabling healthcare practitioners to make a precise diagnosis and plan appropriate management.

Patient and professional perspectives about using in vitro fertilisation add-ons in the UK and Australia: a qualitative study.

OBJECTIVES: In vitro fertilisation (IVF) add-ons are additional procedures offered alongside an IVF cycle with the aim of improving live birth rates. They are controversial because of the paucity of evidence to support their efficacy and safety, alongside the additional financial cost they often pose to patients. Despite this, they are popular. However, there is limited qualitative research regarding their use. The aims of the VALUE Study were to understand the decision-making process surrounding using or recommending add-ons; report sources of information for add-ons; and explore concerns for safety and effectiveness when considering their use. DESIGN: 'VALUE' is a qualitative semistructured interview study using inductive thematic analysis of anonymised transcriptions. SETTING: Participants were recruited from a broad geographical spread across the UK and Australia from public and private clinical settings. PARTICIPANTS: Patients (n=25) and health professionals (embryologists (n=25) and clinicians (n=24)) were interviewed. A purposive sampling strategy was undertaken. The sampling framework included people having state-subsidised and private cycles, professionals working in public and private sectors, geographical location and professionals of all grades. RESULTS: Patients often made decisions about add-ons based on hope, minimising considerations of safety, efficacy or cost, whereas professionals sought the best outcomes for their patients and wanted to avoid them wasting their money. The driving forces behind add-on use differed: for patients, a professional opinion was the most influential reason, whereas for professionals, it was seen as patient driven. For both groups, applying the available evidence to individual circumstances was very challenging, especially in the sphere of IVF medicine, where the stakes are high. CONCLUSIONS: There is scope to build on the quality of the discourse between patients and professionals. Patients describe valuing their autonomy with add-ons, but for professionals, undertaking informed consent will be critical, no matter where they sit on the spectrum regarding add-ons. TRIAL REGISTRATION: osf.io/vnyb9.

"It all depends on why it's red": qualitative interviews exploring patient and professional views of a traffic light system for IVF add-ons.

Background IVF add-ons are techniques, medicines or procedures used in addition to standard IVF with the aim of improving the chance of success. The United Kingdom's IVF regulator, ( the Human Fertilisation Embryology Authority (HFEA) developed a traffic light system to categorise add-ons as either green, amber, or red, based on results of randomised controlled trials. Method Qualitative interviews were undertaken to explore understanding and views of the HFEA traffic light system among IVF clinicians, embryologists and IVF patients across Australia and the United Kingdom. Results A total of 73 interviews were conducted. Overall, participants were supportive of the intention of the traffic light system, however many limitations were raised. It was widely recognized that a simple traffic light system necessarily omits information which may be important to understanding the evidence base. In particular, the red category was used in scenarios that patients viewed as having different implications for their decision-making, including 'no evidence' and 'evidence of harm'. Patients were surprised at the absence of any green add-ons and questioned the value of a traffic light system in this context. Many participants considered the website a helpful starting point, but desired more detail, including the contributing studies, results specific to patient demographics (e.g., <35 years and >35 years), and inclusion of more options (e.g. acupuncture). Overall, participants believed the website to be reliable and trustworthy, particularly due to the Government affiliation, and despite some concerns regarding transparency and an overly cautious regulator. Conclusion Participants identified many limitations with the current application of the traffic light system. These could be considered in any future updates to the HFEA website and for others developing similar decision support tools.

Association between body mass index, weight loss and the chance of pregnancy in women with polycystic ovary syndrome and overweight or obesity: a retrospective cohort study in the UK.

STUDY QUESTION: What are the associations between baseline BMI (Study 1) and change in body weight (Study 2) with the likelihood of pregnancy in women with polycystic ovary syndrome (PCOS). SUMMARY ANSWER: In women with PCOS, higher baseline BMI was associated with a lower chance of pregnancy; however, weight loss was associated with an increased chance of pregnancy versus maintaining a stable weight or gaining weight. WHAT IS KNOWN ALREADY: Two studies in large cohorts of Danish women with the intention to become pregnant showed a decline in fecundability ratios with higher BMI. Furthermore, a meta-analysis found that overweight/obesity significantly worsened metabolic and reproductive outcomes in women with PCOS. STUDY DESIGN, SIZE, DURATION: Data were extracted from the UK Clinical Practice Research Datalink GOLD database. Patients included women aged 18-45 years with BMI ≥18.5 (Study 1) or ≥25 kg/m2 (Study 2) at time of PCOS diagnosis (index date). The primary outcome was the time to first pregnancy recorded during 36-months' follow-up, analysed with Cox proportional hazard models and presented as hazard ratios (HRs). PARTICIPANTS/MATERIALS, SETTING, METHODS: Study 1 included 9955 women with PCOS. Study 2 included 7593 women with PCOS and median BMI of 34.0 kg/m2. MAIN RESULTS AND THE ROLE OF CHANCE: Higher BMI was associated with a lower chance of pregnancy in the 3 years following diagnosis. It was estimated that 41% of women with normal weight (18.5-24.9 kg/m2) would become pregnant compared to 17% of women with obesity class III (BMI ≥40.0 kg/m2) during follow-up. Furthermore, the chance of pregnancy for women with obesity class III was estimated to be 63% lower than for women with normal weight, with the same age and glycaemic status (HR 0.37, 95% CI 0.31-0.44; P < 0.0001). A significant inverse association was found between BMI change and chance of pregnancy: 10% weight loss was estimated to increase the chance of pregnancy by 68% for women with baseline BMI of 40 kg/m2 (HR 1.68, 95% CI 1.49-1.90). LIMITATIONS, REASONS FOR CAUTION: Multiple factors influence the chance of pregnancy (the ability and willingness to become pregnant), which was addressed by exclusion criteria employed. The real-world nature of the study means that use of non-prescription contraceptives was not available. Bias may have been introduced by the fact that only around 40% of women with PCOS in the CPRD GOLD database had their BMI recorded during the year prior to PCOS diagnosis. BMI categories used in the analyses may not be applicable to women of all ethnicities. The study population was only representative of women in the UK and results may not be generalizable to other regions. PCOS diagnoses were based on codes entered into the system by primary care providers, and no information was available regarding the criteria used for diagnosis, although symptoms used to diagnose PCOS have not changed over time. WIDER IMPLICATIONS OF THE FINDINGS: Our observations provide further evidence of the benefits of weight loss in women with overweight/obesity and PCOS who are seeking to become pregnant. STUDY FUNDING/COMPETING INTEREST(S): Novo Nordisk A/S. A.H.B. declares fees for consultancy from Novo Nordisk. P.N.L. and C.L.H. are employees of Novo Nordisk. V.S. and A.V. are employees of, and hold shares in, Novo Nordisk. TRIAL REGISTRATION NUMBER: N/A.

The FIGO ovulatory disorders classification system.

Ovulatory disorders are common causes of amenorrhea, abnormal uterine bleeding, and infertility, and are frequent manifestations of polycystic ovary syndrome (PCOS). There are many potential causes and contributors to ovulatory dysfunction that challenge clinicians, trainees, educators, and those who perform basic, translational, clinical, and epidemiological research. Similarly, therapeutic approaches to ovulatory dysfunction potentially involve a spectrum of lifestyle, psychological, medical, and procedural interventions. Collaborative research, effective education, and consistent clinical care remain challenged by the absence of a consensus comprehensive system for classification of these disorders. The existing and complex system, attributed to WHO, was developed more than three decades ago and did not consider more than 30 years of research into these disorders in addition to technical advances in imaging and endocrinology. This manuscript describes the development of a new classification of ovulatory disorders performed under the aegis of the International Federation of Gynecology and Obstetrics (FIGO) and conducted using a rigorously applied Delphi process. The stakeholder organizations and individuals who participated in this process comprised specialty journals, experts at large, national, specialty obstetrical and gynecological societies, and informed lay representatives. After two face-to-face meetings and five Delphi rounds, the result is a three-level multi-tiered system. The system is applied after a preliminary assessment identifies the presence of an ovulatory disorder. The primary level of the system is based on an anatomic model (Hypothalamus, Pituitary, Ovary) that is completed with a separate category for PCOS. This core component of the system is easily remembered using the acronym HyPO-P. Each anatomic category is stratified in the second layer of the system to provide granularity for investigators, clinicians, and trainees using the "GAIN-FIT-PIE" mnemonic (Genetic, Autoimmune, Iatrogenic, Neoplasm; Functional, Infectious and Inflammatory, Trauma and Vascular; Physiological, Idiopathic, Endocrine). The tertiary level allows for specific diagnostic entities. It is anticipated that, if widely adopted, this system will facilitate education, clinical care, and the design and interpretation of research in a fashion that better informs progress in this field. Integral to the deployment of this system is a periodic process of reevaluation and appropriate revision, reflecting an improved understanding of this collection of disorders.

The FIGO Ovulatory Disorders Classification System†.

Ovulatory disorders are common causes of amenorrhea, abnormal uterine bleeding and infertility and are frequent manifestations of polycystic ovary syndrome (PCOS). There are many potential causes and contributors to ovulatory dysfunction that challenge clinicians, trainees, educators, and those who perform basic, translational, clinical and epidemiological research. Similarly, therapeutic approaches to ovulatory dysfunction potentially involve a spectrum of lifestyle, psychological, medical and procedural interventions. Collaborative research, effective education and consistent clinical care remain challenged by the absence of a consensus comprehensive system for classification of these disorders. The existing and complex system, attributed to the World Health Organization (WHO), was developed more than three decades ago and did not consider more than 30 years of research into these disorders in addition to technical advances in imaging and endocrinology. This article describes the development of a new classification of ovulatory disorders performed under the aegis of the International Federation of Gynecology and Obstetrics (FIGO) and conducted using a rigorously applied Delphi process. The stakeholder organizations and individuals who participated in this process comprised specialty journals, experts at large, national, specialty obstetrical and gynecological societies, and informed lay representatives. After two face-to-face meetings and five Delphi rounds, the result is a three-level multi-tiered system. The system is applied after a preliminary assessment identifies the presence of an ovulatory disorder. The primary level of the system is based on an anatomic model (Hypothalamus, Pituitary, Ovary) that is completed with a separate category for PCOS. This core component of the system is easily remembered using the acronym HyPO-P. Each anatomic category is stratified in the second layer of the system to provide granularity for investigators, clinicians and trainees using the 'GAIN-FIT-PIE' mnemonic (Genetic, Autoimmune, Iatrogenic, Neoplasm; Functional, Infectious and Inflammatory, Trauma and Vascular; Physiological, Idiopathic, Endocrine). The tertiary level allows for specific diagnostic entities. It is anticipated that, if widely adopted, this system will facilitate education, clinical care and the design and interpretation of research in a fashion that better informs progress in this field. Integral to the deployment of this system is a periodic process of reevaluation and appropriate revision, reflecting an improved understanding of this collection of disorders.

The FIGO Ovulatory Disorders Classification System.

Ovulatory disorders are common causes of amenorrhea, abnormal uterine bleeding, and infertility, and are frequent manifestations of polycystic ovary syndrome (PCOS). There are many potential causes and contributors to ovulatory dysfunction that challenge clinicians, trainees, educators, and those who perform basic, translational, clinical, and epidemiological research. Similarly, therapeutic approaches to ovulatory dysfunction potentially involve a spectrum of lifestyle, psychological, medical, and procedural interventions. Collaborative research, effective education, and consistent clinical care remain challenged by the absence of a consensus comprehensive system for classification of these disorders. The existing and complex system, attributed to WHO, was developed more than three decades ago and did not consider more than 30 years of research into these disorders in addition to technical advances in imaging and endocrinology. This manuscript describes the development of a new classification of ovulatory disorders performed under the aegis of the International Federation of Gynecology and Obstetrics (FIGO) and conducted using a rigorously applied Delphi process. The stakeholder organizations and individuals who participated in this process comprised specialty journals, experts at large, national, specialty obstetrical and gynecological societies, and informed lay representatives. After two face-to-face meetings and five Delphi rounds, the result is a three-level multi-tiered system. The system is applied after a preliminary assessment identifies the presence of an ovulatory disorder. The primary level of the system is based on an anatomic model (Hypothalamus, Pituitary, Ovary) that is completed with a separate category for PCOS. This core component of the system is easily remembered using the acronym HyPO-P. Each anatomic category is stratified in the second layer of the system to provide granularity for investigators, clinicians, and trainees using the "GAIN-FIT-PIE" mnemonic (Genetic, Autoimmune, Iatrogenic, Neoplasm; Functional, Infectious and Inflammatory, Trauma and vascular; Physiological, Idiopathic, Endocrine). The tertiary level allows for specific diagnostic entities. It is anticipated that, if widely adopted, this system will facilitate education, clinical care, and the design and interpretation of research in a fashion that better informs progress in this field. Integral to the deployment of this system is a periodic process of reevaluation and appropriate revision, reflecting an improved understanding of this collection of disorders.

Assisted reproduction in patients with cardiac disease: A retrospective review.

OBJECTIVE: To assess risks of assisted reproduction in patients with cardiac disease. STUDY DESIGN: Retrospective case note review of patients with cardiac disease undergoing ART over a 10 year period in the obstetric cardiac services of three UK tertiary centres. Assessment of maternal, obstetric and fetal complications during ART and resultant pregnancies. RESULTS: 34 patients with cardiac disease underwent 51 cycles of assisted reproduction. 24 patients (71%) received pre-pregnancy counselling. Mean age at the start of an assisted reproduction cycle was 32 years. Modified WHO (mWHO) risk category for the 34 patients was mWHO I, n = 3; mWHO II, n = 13; mWHO II- III, n = 10; mWHO III, n = 7; mWHO IV, n = 1. The 51 assisted reproduction cycles resulted in 31 pregnancies in 29 patients, and 31 live births, including two sets of twins. Live birth rate per cycle was 60.8%. Twin pregnancy rate per cycle was 5.8%. Four patients experienced complications during assisted reproduction treatment (7.8% per cycle); one major intra-abdominal haemorrhage following egg collection in a patient with a mechanical aortic valve, one endocarditis, one mild ovarian hyperstimulation syndrome and one vagal syncope during egg collection. Four other patients experienced cardiac complications during resultant pregnancies (12.9%). 43% of mWHO class III patients experienced cardiac, obstetric or neonatal complications. Five babies were delivered pre-term (<37/40). CONCLUSIONS: This small study demonstrates that assisted reproduction carries increased risks of complications in patients with cardiac disease, but can be undertaken without major complication in the majority, as long as appropriate adjustments to treatment pathways are made, and they are managed through a multi-disciplinary team.

Ethnic variation in the live birth rate and perinatal outcomes following frozen embryo transfer: an analysis of the HFEA database from 2000 to 2016.

The literature suggests that ethnicity affects live birth rate (LBR) and preterm birth (PTB) rate after fresh but not frozen embryo transfer (FET). We analysed 64,530 FET cycles from 2000 to 2016 using the Human Fertilisation and Embryology Authority (HFEA) database. Ethnicity was recorded for 43,735 as White British, 3,034 as Indian, 1,946 as Pakistani, 1,400 as Black African, 1,090 as White Irish, 520 as Chinese, 319 as Bangladeshi and 277 as Black Caribbean women. The LBR per FET when compared with White British women (26.1%) was significantly reduced in women of White Irish (23.4%; adjusted Odds Ratio (aOR) 0.85, 95% CI 0.73 to 1.00), Indian (25.2%; aOR 0.95, 95% CI 0.91 to 0.99), Bangladeshi (21.1%; aOR 0.87, 95% CI 0.79 to 0.95) and Pakistani (25.7%; aOR 0.97, 95% CI 0.94 to 0.99) ethnicities. The PTB rate, when compared with White British women (8.4%) was significantly higher for women of Indian (11.1%; aOR 1.38, 95% CI 1.06 to 1.79), Pakistani (11.8%; aOR 1.49, 95% CI 1.09 to 2.03) and White Irish (12.3%; aOR 1.55, 95% CI 1.01 to 2.38) ethnicities. This study suggests that FET outcomes are influenced by ethnicity.

VALUE study: a protocol for a qualitative semi-structured interview study of IVF add-ons use by patients, clinicians and embryologists in the UK and Australia.

INTRODUCTION: For couples undergoing assisted reproduction, a plethora of adjuncts are available; these are known as 'add-ons'. Most add-ons are not supported by good quality randomised trial evidence of efficacy, with some proven to be ineffective. However, estimates suggest that over 70% of fertility clinics provide at least one add-on, often at extra cost to the patient. This study has three aims. First, to undertake a survey of in vitro fertilisation (IVF) clinics in the UK to ascertain which add-ons are being offered and at what cost. Second, to undertake qualitative semi-structured interviews of patients, clinicians and embryologists, to explore their opinions and beliefs surrounding add-ons. Third, to review the interpretation of the Human Fertilisation and Embryology Authority traffic light system, to better understand the information required by IVF patients, clinicians and embryologists when making decisions about add-ons. METHODS AND ANALYSIS: All UK IVF clinics will be contacted by email and invited to complete an online survey. The survey will ask them which add-ons they offer, at what cost per cycle and how information is shared with patients. Semi-structured interviews will be conducted in the UK and Australia with three groups of participants: (i) fertility patients; (ii) clinicians and (iii) embryologists. Participants for the interviews will be recruited via social media channels, website adverts, email and snowball sampling. Up to 20 participants will be recruited for each group in each country. Following an online consent process, interviews will be conducted via video-conferencing software, transcribed verbatim and data subjected to inductive thematic analysis. ETHICS AND DISSEMINATION: Ethical approval has been granted by the Universities of Sheffield, Bath Spa and Melbourne. Findings will be published in a peer-reviewed journal and disseminated to regulatory bodies in the UK and Australia. A lay summary of findings will be shared via Fertility Network, UK.

Feasibility and acceptability of theatrical and visual art to deliver fertility education to young adults.

The Fertility Education Initiative was established in 2016 to provide education on fertility, modern families and reproductive science for young adults, teachers, health professionals, parents and adults. We report on our study to determine the feasibility and acceptability of using the arts to delivery fertility education in schools. The evaluation was mixed methods: (i) two focus groups with young people aged 14-16 and 16-18 were conducted to investigate attitudes to fertility awareness; and (ii) seventeen 16-22 year olds were divided into two groups and each undertook a day of art workshops that consisted of two visual and two theatrical workshops and then completed questionnaires at the end of each workshop and at the end of the day. The artists were interviewed using a semi-structured interview. Young adults confirmed they were interested in learning about fertility, but current understanding varied. The majority thought that fertility education should be delivered in schools at ages 16-18. During the art workshops they learnt some facts but asked for more science and discussion. They felt using art was powerful and they wanted to hear the artists personal stories. Tools using a number of platforms need to be developed that can be taken into schools nationally and evaluated for their engagement.

Is a woman's chronological age or 'ovarian age' more important in determining perinatal outcome after assisted reproductive treatment?

Ovarian reserve (OR) decreases as women get older but there is considerable variation in the rate at which this occurs. Older women are at increased risk of complications during pregnancy. The aim of the study was to determine whether poor OR influences perinatal outcomes independent of age. All fresh IVF/ICSI cycles in which a single embryo was transferred between 1 January 2010 and 31 December 2016 were reviewed. An anti-Müllerian hormone (AMH) concentration of ≤5.4 pmol/l was considered poor and 5.41-24.99 pmol/l normal. Data were collected regarding cycle outcome, congenital anomalies, gestational age at delivery and birth weight. A total of 1520 women were included, of whom 1197 had normal OR and the remaining 323 had poor OR. Once pregnant, after adjusting for maternal age, women with poor OR (n = 109) were no more likely to experience a biochemical pregnancy or miscarriage (41.3% versus 41.6%, p = 0.809) than women with normal OR (n = 596). There were no significant differences in rates of congenital anomalies (1.8% versus 1.2%, p = 0.636), birth weight (3272 ± 630.7 g versus 3376.4 ± 576.3 g, p = 0.216) or gestational age at delivery (38.9 ± 2.3 weeks versus 39.1 ± 2.1 weeks, p = 0.517) between women with normal or poor OR. OR does not appear to affect pregnancy loss rates, incidence of congenital anomalies, birth weight, or gestational age at delivery after adjusting for maternal age.

Illicit drug use and fertility treatment: should we be developing a standard operating procedure?

At present, there are no reliable data to identify the number of patients who present for infertility investigations and who are current users of illicit drugs. Therefore, the full extent of this problem remains hidden. Estimates can be made on the basis of population use, although this lacks rigour. The use of illicit drugs can impact on infertility investigations, treatment, welfare of the child and parenting. Furthermore, it can result in serious legal sanctions, including imprisonment. There does not appear to be consistent practice across HFEA licenced clinics in either requiring: (i) the addicted patient to have a specified drug-free period before commencing investigations; or (ii) all patients to be routinely screened. As well as describing the extent of illicit drug use in the UK population, and therefore in those who present in clinic, this paper will discuss screening and encourages debate across clinics regarding a mandatory drug-free period and the development of an appropriate Standard Operating Procedure.

Harmonizing research outcomes for polycystic ovary syndrome (HARP), a marathon not a sprint: current challenges and future research need.

Investing in clinical research and evidence-based medicine has helped to improve the care for women with polycystic ovary syndrome (PCOS). However, several important questions remain unanswered on the optimal prevention and management strategies for PCOS. Addressing this uncertainty is often hindered by suboptimal research conduct leading to inefficient evidence synthesis and research wastage. PCOS research is often practised by varied specialized teams in silo leading to disharmonious and fragmented efforts neglecting the lifelong impact of PCOS on women's wellbeing. Poor engagement among key stakeholders and lay consumers continues to limit the impact and benefits of research to society. Selective reporting on surrogate outcomes with a 'significant' P-value is a common malpractice in PCOS outputs. Effective adoption of the harmonizing research outcomes for PCOS (HARP) core outcome set is needed to minimize heterogeneity in reporting and promote research excellence. Small single-centre studies offer limited value to assess the varied PCOS phenotypes. Efficient large scale data-sharing is needed to address complex research questions and glean the benefits of big data research. We propose a roadmap to address these challenges and remedy future research need by promoting patient and public involvement in PCOS research to guide research efforts and address real patients' needs; engaging all key stakeholder groups to promote a multi-disciplinary lifelong approach to new research; continuously refining research needs and priorities to revise the knowledge gap and allocate resources judiciously; standardizing outcomes definitions and measurement tools to harmonize reporting and promote excellence in research; and by investing in large data-sharing infrastructure to facilitate big data research and govern ethical data sharing.

Harmonising research outcomes for polycystic ovary syndrome: an international multi-stakeholder core outcome set.

STUDY QUESTION: What are the key core outcomes to be reported in studies on polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: We identified 3 generic and 30 specific core outcomes in 6 specialist domains: metabolic (8), reproductive (7), pregnancy (10), oncological (1), psychological (1) and long-term outcomes (1). WHAT IS KNOWN ALREADY: Research reporting PCOS is heterogeneous with high variation in outcome selection, definition and quality. STUDY DESIGN, SIZE, DURATION: Evidence synthesis and a modified Delphi method with e-surveys were used as well as a consultation meeting. PARTICIPANTS/MATERIALS, SETTING, METHODS: Overall, 71 health professionals and 123 lay consumers (women with lived experience of PCOS and members of advocacy and peer support groups) from 17 high-, middle- and low-income countries were involved in this analysis. MAIN RESULTS AND THE ROLE OF CHANCE: The final core outcome set included 3 generic outcomes (BMI, quality of life, treatment satisfaction) that are applicable to all studies on women with PCOS and 30 specific outcomes that were categorised into six specialist domains: 8 metabolic outcomes (waist circumference, type 2 diabetes, insulin resistance, impaired glucose tolerance, hypertension, coronary heart disease, lipid profile, venous thromboembolic disease); 7 reproductive outcomes [viable pregnancy (confirmed by ultrasound including singleton, twins and higher multiples), clinical and biochemical hyperandrogenism, menstrual regularity, reproductive hormonal profile, chronic anovulation, ovulation stimulation success including the number of stimulated follicles ≥ 12 mm, incidence and severity of ovarian hyperstimulation syndrome]; 10 pregnancy outcomes (live birth, miscarriage, stillbirth, neonatal mortality, gestational weight gain, gestational diabetes, preterm birth, hypertensive disease in pregnancy, baby birth weight, major congenital abnormalities); 3 psychological outcomes (depression, anxiety, eating disorders); 1 oncological (abnormal endometrial proliferation including atypical endometrial hyperplasia and endometrial cancer); and 1 outcome in the long-term domain (long-term offspring metabolic and developmental outcomes). LIMITATIONS, REASONS FOR CAUTION: We involved lay consumers in all stages of study through e-surveys but not through focus groups, thereby limiting our understanding of their choices. We did not address the variations in the definitions and measurement tools for some of the core outcomes. WIDER IMPLICATIONS OF THE FINDINGS: Implementing this core outcome set in future studies on women with PCOS will improve the quality of reporting and aid evidence synthesis. STUDY FUNDING/COMPETING INTEREST(S): Evidence synthesis was funded through the Australian government, National Health and Medical Research Council (NHMRC) Centre for Research Excellence in PCOS, and H.T. is funded through an NHMRC fellowship. B.H.A. is funded through an NIHR lectureship. All authors have no competing interest to declare.

Can the ethnic differences in IVF cycle outcome be influenced by the impact of BMI?

The objective of this study was to investigate the role of Body Mass Index (BMI) in influencing ethnic variation in IVF outcomes. This retrospective cohort study included women (having BMI between 19 to 30 kg/m2) undergoing their first IVF cycle with fresh blastocyst transfer at a single IVF unit between 2010 and 2015. In summary, South Asian women had a lower live birth rate (LBR) (27% vs 44.7%, aOR 0.41, 95% CI 0.29 to 0.59) than Caucasian women. Subgroup analysis revealed a significantly lower LBR for South Asian women when their BMI was 25-25.9 kg/m2 (21.4% vs 47.4%, aOR 0.19, 95% CI 0.04 to 0.84), 26-26.9 kg/m2 (30.0% vs 55.0%, aOR 0.26, 95% CI 0.08 to 0.86) and 27-27.9 kg/m2 (14.3% vs 39.4%, aOR 0.14, 95% CI 0.03 to 0.70) with no significant differences in the other BMI subgroups. These results suggest that a lower BMI cut-off may be indicated for South Asian women having IVF when compared to Caucasian women. These findings are novel but are limited because they are from a single centre. However, the results should prompt further research into the subject by multi-centre studies with larger number of IVF cycles analysed.

Metformin for ovulation induction (excluding gonadotrophins) in women with polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is characterised by infrequent or absent ovulation, and high levels of androgens and insulin (hyperinsulinaemia). Hyperinsulinaemia occurs secondary to insulin resistance and is associated with an increased biochemical risk profile for cardiovascular disease and an increased prevalence of diabetes mellitus. Insulin-sensitising agents such as metformin may be effective in treating PCOS-related anovulation. This is an update of Morley 2017 and only includes studies on metformin. OBJECTIVES: To evaluate the effectiveness and safety of metformin in combination with or in comparison to clomiphene citrate (CC), letrozole and laparoscopic ovarian drilling (LOD) in improving reproductive outcomes and associated gastrointestinal side effects for women with PCOS undergoing ovulation induction. SEARCH METHODS: We searched the following databases from inception to December 2018: Cochrane Gynaecology and Fertility Group Specialised Register, CENTRAL, MEDLINE, Embase, PsycINFO and CINAHL. We searched registers of ongoing trials and reference lists from relevant studies. SELECTION CRITERIA: We included randomised controlled trials of metformin compared with placebo, no treatment, or in combination with or compared with CC, letrozole and LOD for women with PCOS subfertility. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed studies for eligibility and bias. Primary outcomes were live birth rate and gastrointestinal adverse effects. Secondary outcomes included other pregnancy outcomes and ovulation. We combined data to calculate pooled odds ratios (ORs) and 95% confidence intervals (CIs). We assessed statistical heterogeneity using the I2 statistic and reported quality of the evidence for primary outcomes and reproductive outcomes using GRADE methodology. MAIN RESULTS: We included 41 studies (4552 women). Evidence quality ranged from very low to moderate based on GRADE assessment. Limitations were risk of bias (poor reporting of methodology and incomplete outcome data), imprecision and inconsistency. Metformin versus placebo or no treatment The evidence suggests that metformin may improve live birth rates compared with placebo (OR 1.59, 95% CI 1.00 to 2.51; I2 = 0%; 4 studies, 435 women; low-quality evidence). For a live birth rate of 19% following placebo, the live birth rate following metformin would be between 19% and 37%. The metformin group probably experiences more gastrointestinal side effects (OR 4.00, 95% CI 2.63 to 6.09; I2 = 39%; 7 studies, 713 women; moderate-quality evidence). With placebo, the risk of gastrointestinal side effects is 10% whereas with metformin this risk is between 22% and 40%. There are probably higher rates of clinical pregnancy (OR 1.98, 95% CI 1.47 to 2.65; I2 = 30%; 11 studies, 1213 women; moderate-quality evidence). There may be higher rates of ovulation with metformin (OR 2.64, 95% CI 1.85 to 3.75; I2 = 61%; 13 studies, 684 women; low-quality evidence). We are uncertain about the effect on miscarriage rates (OR 1.08, 95% CI 0.50 to 2.35; I2 = 0%; 4 studies, 748 women; low-quality evidence). Metformin plus CC versus CC alone We are uncertain if metformin plus CC improves live birth rates compared to CC alone (OR 1.27, 95% CI 0.98 to 1.65; I2 = 28%; 10 studies, 1219 women; low-quality evidence), but gastrointestinal side effects are probably more common with combined therapy (OR 4.26, 95% CI 2.83 to 6.40; I2 = 8%; 6 studies, 852 women; moderate quality evidence). The live birth rate with CC alone is 24%, which may change to between 23% to 34% with combined therapy. With CC alone, the risk of gastrointestinal side effects is 9%, which increases to between 21% to 37% with combined therapy. The combined therapy group probably has higher rates of clinical pregnancy (OR 1.62, 95% CI 1.32 to 1.99; I2 = 31%; 19 studies, 1790 women; moderate-quality evidence). The combined group may have higher rates of ovulation (OR 1.65, 95% CI 1.35 to 2.03; I2 = 63%;21 studies, 1568 women; low-quality evidence). There was no clear evidence of an effect on miscarriage (OR 1.35, 95% CI 0.91 to 2.00; I2 = 0%; 10 studies, 1206 women; low-quality evidence). Metformin versus CC When all studies were combined, findings for live birth were inconclusive and inconsistent (OR 0.71, 95% CI 0.49 to 1.01; I2 = 86%; 5 studies, 741 women; very low-quality evidence). In subgroup analysis by obesity status, obese women had a lower birth rate in the metformin group (OR 0.30, 95% CI 0.17 to 0.52; 2 studies, 500 women), while the non-obese group showed a possible benefit from metformin, with high heterogeneity (OR 1.71, 95% CI 1.00 to 2.94; I2 = 78%, 3 studies, 241 women; very low-quality evidence). However, due to the very low quality of the evidence we cannot draw any conclusions. Among obese women taking metformin there may be lower rates of clinical pregnancy (OR 0.34, 95% CI 0.21 to 0.55; I2 = 0%; 2 studies, 500 women; low-quality evidence) and ovulation (OR 0.29, 95% CI 0.20 to 0.43; I2 = 0%; 2 studies, 500 women; low-quality evidence) while among non-obese women, the metformin group may have more pregnancies (OR 1.56, 95% CI 1.06 to 2.29; I2 = 26%; 6 studies, 530 women; low-quality evidence) and no clear difference in ovulation rates (OR 0.80, 95% CI 0.52 to 1.25; I2 = 0%; 5 studies, 352 women; low-quality evidence). We are uncertain whether there is a difference in miscarriage rates between the groups (overall: OR 0.92, 95% CI 0.51 to 1.66; I2 = 36%; 6 studies, 781 women; low-quality evidence) and no studies reported gastrointestinal side effects. AUTHORS' CONCLUSIONS: Our updated review suggests that metformin may be beneficial over placebo for live birth however, more women probably experience gastrointestinal side effects. We are uncertain if metformin plus CC improves live birth rates compared to CC alone, but gastrointestinal side effects are probably increased with combined therapy. When metformin was compared with CC, data for live birth were inconclusive, and the findings were limited by lack of evidence. Results differed by body mass index (BMI), emphasising the importance of stratifying results by BMI. No studies reported gastrointestinal side effects in this comparison. Due to the low quality of the evidence, we are uncertain of the effect of metformin on miscarriage in all three comparisons.