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

Broeze, Kimiko A.; Opmeer, Brent C.; Bachmann, Lucas M.; Broekmans, Frank J.; Bossuyt, Patrick M.; Coppus, S.F.P.J.; Johnson, Neil; Khan, Khalid S.; Riet, Gerben ter; Veen, Fulco van der; Wely, Madelon van; Mol, Ben Willem J.

doi:10.1186/1471-2288-9-22

Cited by 33 publications

(22 citation statements)

References 47 publications

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“…This is unfortunate because they are parts of the placental syndrome. The same applies for the (19) 153 (17) .055 0 19,21,27,29,30,[34][35][36] Maximum diastolic blood pressure, mm Hg b 331 c 107 c (11) 100 c (8.9) < .001 c 25 29,30,34,35,39 Proteinuria >300 mg/24 h 119 c 82 c (69%) 58 c (49%) .011 c 0 20,27,29,30,34,35 Thrombocytopenia <100 Â 10 9 /L 162 37 (23%) 18 (11%) .24 0 20,29,30,34,35 Use of medication [19][20][21]23,25,28,29,30,[34][35][36] Oral antihypertensive 504 c 295 c (59%) 237 c (47% 16,17,[19][20][21][22]25,26,[28][29]…”

Section: Recurrence Ratesmentioning

confidence: 92%

“…10 Individual participant data (IPD) metaanalysis is new to prognostic research. 11 In contrast to conventional metaanalysis, it uses the IPD of the original studies, thus enlarging the study population and increasing statistical power to detect subtle relationships. In contrast to aggregated data metaanalysis, it permits synthesis at an individual level, which creates flexibility in choosing outcome and subgroups.…”

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confidence: 99%

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Recurrence of hypertensive disorders of pregnancy: an individual patient data metaanalysis

Oostwaard

Langenveld

Schuit

et al. 2015

American Journal of Obstetrics and Gynecology

113

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Section: Recurrence Ratesmentioning

confidence: 92%

mentioning

confidence: 99%

Recurrence of hypertensive disorders of pregnancy: an individual patient data metaanalysis

Oostwaard

Langenveld

Schuit

et al. 2015

American Journal of Obstetrics and Gynecology

113

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“…We have recently completed a group-level meta-analysis of test accuracy measures of DTI for the diagnosis of ALS (14). However, individual patient data (IPD) meta- analysis approaches are generally considered superior to group-level approaches because more rigorous statistical methods can be employed, including covariate adjustment (15,16). Our study objective was to compare ALS patients who underwent DTI to healthy controls to determine diagnostic accuracy measures of FA using IPD meta-analysis techniques.…”

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confidence: 99%

Diagnostic Accuracy of Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis

et al. 2013

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Rationale and Objectives There have been a large number of case-control studies using diffusion tensor imaging (DTI) in amyotrophic lateral sclerosis (ALS). The objective of this study was to perform an individual patient data (IPD) meta-analysis for the estimation of the diagnostic accuracy measures of DTI in the diagnosis of ALS using corticospinal tract data. Materials and Methods MEDLINE, EMBASE, CINAHL, and Cochrane databases (1966–April 2011) were searched. Studies were included if they used DTI region of interest or tractography techniques to compare mean cerebral corticospinal tract fractional anisotropy values between ALS subjects and healthy controls. Corresponding authors from the identified articles were contacted to collect individual patient data. IPD meta-analysis and meta-regression were performed using Stata. Meta-regression covariate analysis included age, gender, disease duration, and Revised Amyotrophic Lateral Sclerosis Functional Rating Scale scores. Results Of 30 identified studies, 11 corresponding authors provided IPD and 221 ALS patients and 187 healthy control subjects were available for study. Pooled area under the receiver operating characteristic curve (AUC) was 0.75 (95% CI: 0.66–0.83), pooled sensitivity was 0.68 (95% CI: 0.62–0.75), and pooled specificity was 0.73 (95% CI: 0.66–0.80). Meta-regression showed no significant differences in pooled AUC for each of the covariates. There was moderate to high heterogeneity of pooled AUC estimates. Study quality was generally high. Data from 19 of the 30 eligible studies were not ascertained, raising possibility of selection bias. Conclusion Using corticospinal tract individual patient data, the diagnostic accuracy of DTI appears to lack sufficient discrimination in isolation. Additional research efforts and a multimodal approach that also includes ALS mimics will be required to make neuroimaging a critical component in the workup of ALS.

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“…The investigators involved in this project are members of two GCO working groups; and, thus we are in positions to integrate knowledge translation as the data analyses progress and we examine preliminary findings [31]. The scholarly products developed as a result of the study (eg, manuscripts submitted to peer-reviewed journals, including open-access journals, presentations at conferences) will make theoretical and empirical contributions toward more effectively using the characteristics of sexual health clinic clients to predict STI.…”

Section: Discussionmentioning

confidence: 99%

Risk Prediction in Sexual Health Contexts: Protocol

Falasinnu¹,

Gustafson²,

Gilbert³

et al. 2013

JMIR Res Protoc

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BackgroundIn British Columbia (BC), we are developing Get Checked Online (GCO), an Internet-based testing program that provides Web-based access to sexually transmitted infections (STI) testing. Much is still unknown about how to implement risk assessment and recommend tests in Web-based settings. Prediction tools have been shown to successfully increase efficiency and cost-effectiveness of STI case finding in the following settings.ObjectiveThis project was designed with three main objectives: (1) to derive a risk prediction rule for screening chlamydia and gonorrhea among clients attending two public sexual health clinics between 2000 and 2006 in Vancouver, BC, (2) to assess the temporal generalizability of the prediction rule among more recent visits in the Vancouver clinics (2007-2012), and (3) to assess the geographical generalizability of the rule in seven additional clinics in BC.MethodsThis study is a population-based, cross-sectional analysis of electronic records of visits collected at nine publicly funded STI clinics in BC between 2000 and 2012. We will derive a risk score from the multivariate logistic regression of clinic visit data between 2000 and 2006 at two clinics in Vancouver using newly diagnosed chlamydia and gonorrhea infections as the outcome. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow statistic will examine the model’s discrimination and calibration, respectively. We will also examine the sensitivity and proportion of patients that would need to be screened at different cutoffs of the risk score. Temporal and geographical validation will be assessed using patient visit data from more recent visits (2007-2012) at the Vancouver clinics and at clinics in the rest of BC, respectively. Statistical analyses will be performed using SAS, version 9.3.ResultsThis is an ongoing research project with initial results expected in 2014.ConclusionsThe results from this research will have important implications for scaling up of Internet-based testing in BC. If a prediction rule with good calibration, discrimination, and high sensitivity to detect infection is found during this project, the prediction rule could be programmed into GCO so that the program offers individualized testing recommendations to clients. Further, the prediction rule could be adapted into educational materials to inform other Web-based content by creating awareness about STI risk factors, which may stimulate health care seeking behavior among individuals accessing the website.

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

Cited by 33 publications

References 47 publications

Recurrence of hypertensive disorders of pregnancy: an individual patient data metaanalysis

Recurrence of hypertensive disorders of pregnancy: an individual patient data metaanalysis

Diagnostic Accuracy of Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis

Risk Prediction in Sexual Health Contexts: Protocol

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