Individual patient data meta-analysis of diagnostic and prognostic studies in obstetrics, gynaecology and reproductive medicine

BACKGROUND: In clinical practice a diagnosis is based on a combination of clinical history, physical examination and additional diagnostic tests. At present, studies on diagnostic research often report the accuracy of tests without taking into account the information already known from history and examination. Due to this lack of information, together with variations in design and quality of studies, conventional meta-analyses based on these studies will not show the accuracy of the tests in real practice. By using individual patient data (IPD) to perform meta-analyses, the accuracy of tests can be assessed in relation to other patient characteristics and allows the development or evaluation of diagnostic algorithms for individual patients. In this study we will examine these potential benefits in four clinical diagnostic problems in the field of gynaecology, obstetrics and reproductive medicine. METHODS/DESIGN: Based on earlier systematic reviews for each of the four clinical problems, studies are considered for inclusion. The first authors of the included studies will be invited to participate and share their original data. After assessment of validity and completeness the acquired datasets are merged. Based on these data, a series of analyses will be performed, including a systematic comparison of the results of the IPD meta-analysis with those of a conventional meta-analysis, development of multivariable models for clinical history alone and for the combination of history, physical examination and relevant diagnostic tests and development of clinical prediction rules for the individual patients. These will be made accessible for clinicians. DISCUSSION: The use of IPD meta-analysis will allow evaluating accuracy of diagnostic tests in relation to other relevant information. Ultimately, this could increase the efficiency of the diagnostic work-up, e.g. by reducing the need for invasive tests and/or improving the accuracy of the diagnostic workup. This study will assess whether these benefits of IPD meta-analysis over conventional meta-analysis can be exploited and will provide a framework for future IPD meta-analyses in diagnostic and prognostic research.

The efficacy of psychological interventions for infertile patients: a meta-analysis examining mental health and pregnancy rate

BACKGROUND: Psychological interventions for infertile patients seek to improve mental health and increase pregnancy rates. The aim of the present meta-analysis was to examine if psychological interventions improve mental health and pregnancy rate among infertile patients. Thus, controlled studies were pooled investigating psychological interventions following the introduction of assisted reproductive treatments (ART). METHODS: The databases of Medline, PsycINFO, PSYNDEX, Web of Science and the Cochrane Library were searched to identify relevant articles published between 1978 and 2007 (384 articles). Included were prospective intervention studies on infertile patients (women and men) receiving psychological interventions independent of actual medical treatment. The outcome measures were mental health and pregnancy rate. A total of 21 controlled studies were ultimately included in a meta-analysis comparing the efficacy of psychological interventions. Effect sizes (ES) were calculated for psychological measures and risk ratios (RR) for pregnancy rate. RESULTS: The findings from controlled studies indicated no significant effect for psychological interventions regarding mental health (depression: ES 0.02, 99% CI: -0.19, 0.24; anxiety: ES 0.16, 99% CI: -0.10, 0.42; mental distress: ES 0.08, 99% CI: -0.10, 0.51). Nevertheless, there was evidence for the positive impact of psychological interventions on pregnancy rates (RR 1.42, 99% CI: 1.02, 1.96). Concerning pregnancy rates, significant effects for psychological interventions were only found for couples not receiving ART. CONCLUSIONS: Despite the absence of clinical effects on mental health measures, psychological interventions were found to improve some patients' chances of becoming pregnant. Psychological interventions represent an attractive treatment option, in particular, for infertile patients who are not receiving medical treatment.