Impact of missing outcome data in meta‐analyses of lifestyle interventions during pregnancy to reduce postpartum weight retention: An overview of systematic reviews with meta‐analyses and additional sensitivity analyses

2021 ◽  
Author(s):  
Rebecca G. Harris ◽  
Marijka Batterham ◽  
Elizabeth P. Neale ◽  
Isabel Ferreira
2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Rebecca Harris ◽  
Marijka Batterham ◽  
Elizabeth Neale ◽  
Isabel Ferreira

Abstract Background High risk of bias associated with missing outcome data (MOD) in meta-analyses (MAs) of the effects of lifestyle interventions during pregnancy on postpartum weight retention (PPWR), casts doubt on whether such interventions can be relied upon as truly effective, since estimates are deemed valid only if MOD was missing at random (MAR). Methods We conducted a systematic overview of MAs to examine the impact of MOD on the estimation of meta-analytic summary intervention effects and conducted sensitivity analyses using pattern mixture models and informative missingness parameters (describing how the outcome in the missing participants may be related to the outcome in the completers), to ascertain the robustness of the estimates to reasonable deviations from the MAR assumption. Results Three relevant MAs were identified, all with high MOD rates in the RCTs included (median>30%), and all reporting beneficial intervention effects on PPWR (in kg) estimated based on complete case analyses: [-0.78 (95%CI: -1.39,-0.16), -0.81 (-1.57,-0.06), and -0.94 (-1.52,-0.37)] in MAs of any lifestyle, exercise, or diet + exercise interventions, respectively. In plausible scenarios where the outcome for the intervention group in participants with vs without MOD was worse (by 0.5kg), effect estimates were attenuated in all and no longer significant in 2 of the MAs [-0.58 (-1.29,0.13), -0.70 (-1.50,0.10) and -0.88 (-1.73,-0.02)]. Conclusions Statistical significance was retained when all 19 RCTs identified across MAs were meta-analysed: -0.63 (-0.17,-0.08). Key messages The clinical relevancy of effects of this magnitude remains unclear.


BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Loukia M. Spineli ◽  
Chrysostomos Kalyvas ◽  
Katerina Papadimitropoulou

Abstract Background To investigate the prevalence of robust conclusions in systematic reviews addressing missing (participant) outcome data via a novel framework of sensitivity analyses and examine the agreement with the current sensitivity analysis standards. Methods We performed an empirical study on systematic reviews with two or more interventions. Pairwise meta-analyses (PMA) and network meta-analyses (NMA) were identified from empirical studies on the reporting and handling of missing outcome data in systematic reviews. PMAs with at least three studies and NMAs with at least three interventions on one primary outcome were considered eligible. We applied Bayesian methods to obtain the summary effect estimates whilst modelling missing outcome data under the missing-at-random assumption and different assumptions about the missingness mechanism in the compared interventions. The odds ratio in the logarithmic scale was considered for the binary outcomes and the standardised mean difference for the continuous outcomes. We calculated the proportion of primary analyses with robust and frail conclusions, quantified by our proposed metric, the robustness index (RI), and current sensitivity analysis standards. Cohen’s kappa statistic was used to measure the agreement between the conclusions derived by the RI and the current sensitivity analysis standards. Results One hundred eight PMAs and 34 NMAs were considered. When studies with a substantial number of missing outcome data dominated the analyses, the number of frail conclusions increased. The RI indicated that 59% of the analyses failed to demonstrate robustness compared to 39% when the current sensitivity analysis standards were employed. Comparing the RI with the current sensitivity analysis standards revealed that two in five analyses yielded contradictory conclusions concerning the robustness of the primary analysis results. Conclusions Compared with the current sensitivity analysis standards, the RI offers an explicit definition of similar results and does not unduly rely on statistical significance. Hence, it may safeguard against possible spurious conclusions regarding the robustness of the primary analysis results.


2021 ◽  
Vol 10 (9) ◽  
pp. 1891
Author(s):  
Maureen Makama ◽  
Helen Skouteris ◽  
Lisa J. Moran ◽  
Siew Lim

Postpartum weight retention (PPWR) is a strong predictor of obesity in later life with long term health consequences in women. Suboptimal lifestyle behaviours (e.g., diet and physical activity) contribute to PPWR. Postpartum lifestyle interventions are known to be efficacious in reducing PPWR; however, there are challenges to their successful implementation. To inform implementation, this narrative review provides an overview of the factors that contribute to PPWR, the efficacy of existing postpartum lifestyle interventions and key determinants of effective implementation using the Consolidated Framework for Implementation Research (CFIR) across intervention characteristics, implementation process, individual characteristics and outer and inner setting. We then suggest strategies to improve the translation of evidence into large-scale interventions that deliver on health impact in postpartum women. We have identified gaps that need to be addressed to advance postpartum lifestyle research, including the involvement of postpartum women and community members as key stakeholders for optimal reach and engagement, more complete reporting of intervention characteristics to optimize translation of evidence into practice, capacity building of health professionals and guidelines for postpartum lifestyle management.


2020 ◽  
Vol 287 ◽  
pp. 112905 ◽  
Author(s):  
Chunsong Yang ◽  
Xiao Cheng ◽  
Qiyunrui Zhang ◽  
Dan Yu ◽  
Jiayuan Li ◽  
...  

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