Data Resource Profile: Xiamen registry of pregnant women and offspring (REPRESENT): a population-based, long-term follow-up database linking four major healthcare data platforms

Tan, Jing; Xiong, Yiquan; Qi, Yana; Liu, Chunrong; Huang, Shiyao; Yao, Guanhua; Sun, Wei; Qian, Yongyue; Ye, Lishan; Xu, Qiushi; Liu, Hui; Lee, Andy H.; Thabane, Lehana; Sun, Xin

doi:10.1093/ije/dyaa161

Cited by 12 publications

(8 citation statements)

References 20 publications

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“…This study was conducted using data from REPRESENT, a population-based pregnancy registration database in China, which is described elsewhere [ 21 ]. Briefly, REPRESENT collected healthcare data from pregnant women and their offspring across all maternity departments in Xiamen city, Fujian Province, China, which has a permanent population of more than 4 million.…”

Section: Methodsmentioning

confidence: 99%

“…Considering the particularities of assisted conception (i.e., cause of subfertility and ART procedure) and higher incidence of GDM following ART [ 20 ], we aimed to evaluate if the impact of maternal bodyweight on GDM incidence following ART was similar to that describe in spontaneous conceptions, since this subject has been insufficiently investigated [ 18 ]. In order to provide evidence for future interventions in maternal body weight before ART treatment, we conducted a dose–response analysis to explore the impact of maternal pre-pregnancy body weight on GDM following ART treatment, using data from REPRESENT [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Dose–response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study

Xiong

Wang

et al. 2022

Reprod Biol Endocrinol

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Background The impact of maternal pre-pregnancy bodyweight on gestational diabetes mellitus (GDM) following assisted reproductive technology (ART) treatment has been insufficiently investigated. The aim of this study was to investigate the association between maternal pre-pregnancy bodyweight and GDM following ART. Methods From January 2014 to March 2019, this population-based retrospective cohort study included pregnancies achieved by ART treatment in a pregnancy registration database in China. Multivariate regression analysis and restricted cubic splines were used to explore the association between bodyweight and GDM. Results A total of 6,598 pregnancies were included. The incidence of GDM was 26.0% (1715/6598). A total of 868 (13.2%) pregnant women were underweight, 665 (10.8%) were overweight, and 145 (2.20%) were obesity. We found a linear dose–response relation between maternal body mass index and GDM by restricted cubic splines, where one unit body mass index increase was associated with the 15% elevated risk of GDM (adjusted odds ratio [OR] 1.15, 95% CI 1.08–1.22). Compared to the normal weight group, maternal underweight was associated with lower risk of GDM (adjusted OR 0.68, 95% CI 0.57–0.82), while increased risk was found for overweight (adjusted OR 1.54 95% CI 1.29–1.84) and obesity (adjusted OR 1.74, 95% CI 1.23–2.47). Conclusions Our study found a linear dose–effect relationship between pre-pregnancy bodyweight and GDM following ART treatment. The findings in this study support the clinical recommendation of advising women with overweight or obesity to lose weight prior to ART treatment.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dose–response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study

Xiong

Wang

et al. 2022

Reprod Biol Endocrinol

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“…These data are often embedded in electronic medical records and healthcare claims, and studies have shown the potential usefulness of these data for generating evidence. 19 25 26 However, when new drugs are approved under accelerated coverage review, they have not been used in the routine care. Thus, the evidence on efficacy, comparative effectiveness, and safety is often limited, particularly if only single arm trials are available.…”

Section: Use Of Real World Data To Support Initial Coverage Decisionsmentioning

confidence: 99%

“…37 Population based healthcare data systems have been increasingly established in large municipal cities, with data linkage put in place. 25 38 These linked data can provide important information for assessing the value of drugs. A working panel consisting of experts from academic institutions and authorities has also been formed to develop technical guidance documents to improve the transparency and quality of real world evidence.…”

Section: Show Me the Data: Improving Real World Datamentioning

confidence: 99%

Use of real world data to improve drug coverage decisions in China

Wen

Tan

et al. 2023

BMJ

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“…In recent years, routinely collected health care data (RCD), such as electronic medical records (EMRs), have become an irreplaceable source of information for assessing the real‐world treatment effects of CHIs, especially in exploring the optimal treatment patterns and the timing of CHIs among heterogeneously treated populations. 5 , 6 , 7 Although RCD share apparent advantages in sample sizes, representative population, and high‐dimensional variables, these data are, in their nature, observational. 8 Consequently, the resulting treatment effects of CHIs are usually threatened by a diversity of potential biases.…”

Section: Introductionmentioning

confidence: 99%

A methodological framework for tackling confounding by indication when assessing the treatment effects of Chinese herbal injections in the real world

Tan

Liu

et al. 2022

J Evidence Based Medicine

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Aim In the context of integrative medicine, whether Chinese herbal injections are effective in routine practice has become a question of broad interest. However, confounding by indication (i.e., indication bias) is a prevalent and highly challenging methodological issue when using routinely collected health care data to assess the real‐world effectiveness of Chinese herbal injections. Methods and results We proposed a methodological approach to tackling confounding by indication in assessing the real‐world effectiveness of Chinese herbal injections, incorporating empirical experiences, a literature review and interactive discussions, and a panel of external experts to finally achieve a consensus. This approach consisted of three cohesive steps, including a full understanding of treatment patterns, construction of fair comparisons by identifying appropriate combination treatments and comparators, and using statistical methods to further control for confounding. In the investigation of treatment patterns, we proposed five domains to identify treatment patterns with Chinese herbal injections, and we offered five patterns of combination treatments to characterize how Chinese herbal injections are used in conjunction with other treatments. In constructing fair comparisons, we suggested the use of both nonuse and active comparators; given the diverse combination treatments, we developed six scenarios that may form fair comparisons. In the statistical analysis, we discussed five statistical models for controlling confounding by indication, including their pros and cons. We also included a practical example to illustrate the usefulness of the methodological approach. Conclusion The proposed approach may serve as an effective tool to guide researchers to reliably assess the effectiveness of Chinese herbal injections in the context of integrative medicine.

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Data Resource Profile: Xiamen registry of pregnant women and offspring (REPRESENT): a population-based, long-term follow-up database linking four major healthcare data platforms

Cited by 12 publications

References 20 publications

Dose–response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study

Dose–response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study

Use of real world data to improve drug coverage decisions in China

A methodological framework for tackling confounding by indication when assessing the treatment effects of Chinese herbal injections in the real world

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