Evidence map›Paper›PMID 39829236›Full record

ArticleAnnals of medicine2025

The rationale, design of the Assisted reproductive technology cohort nested in a pre-pregnancy family cohort (APP-Cohort).

Wei Xiong, Qinghan Liang, Xiaojie Han, Qiaolu Cheng, Qihang Liu, Xifang Zuo, Huiyu Wang, Huijing He, Guangliang Shan

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wei XiongDepartment of Gynecology Endocrine & Reproductive Center, National Clinical Research Center for Obstetric & Gynecologic Diseases Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College/Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Qinghan LiangHaidian District Women and Children's Hospital, Beijing, People's Republic of China.
Xiaojie HanDepartment of Gynecology and Obstetrics, Tongzhou Maternal and Child Health Care Hospital, Beijing, China, People's Republic of China.
Qiaolu ChengDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People's Republic of China.
Qihang LiuDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People's Republic of China.
Xifang ZuoDepartment of Gynecology and Obstetrics, Tongzhou Maternal and Child Health Care Hospital, Beijing, China, People's Republic of China.
Huiyu WangHaidian District Women and Children's Hospital, Beijing, People's Republic of China.
Huijing HeDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People's Republic of China.ORCID 0000-0002-2922-752X
Guangliang ShanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People's Republic of China.ORCID 0000-0002-4535-8941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInfertility has become a major global issue due to the trend of delaying marriage and advanced maternal age. Family/Birth cohort studies are essential for exploring ways to enhance health outcomes at both the individual and societal levels. However, there is a shortage of cohorts that include families who have utilized assisted reproductive technology (ART), particularly initiated at the early stages before pregnancy. The Assisted Reproductive Technology Cohort (APP-Cohort) is a prospective study aiming to investigate the epidemiology and risk factors of adverse gestational outcomes and other health issues in couples who have conceived through ART or naturally.

methodsThe cohort study's baseline survey commenced in January 2022 at several locations in Beijing, and enrollment is currently in progress. Both spouses filled out a questionnaire covering demographic, socio-economic, and various modifiable risk factors to gather information on their lifestyle. Physical examinations and biochemical tests were carried out, alongside regular yearly health check-ups throughout pregnancy and childhood. The survey data will be connected to electronic medical records to compile health information on the couples, newborns, and children. DISCUSSION: The APP-Cohort study collected data from both wives and husbands before conception, allowing for early assessment of environmental risk factors for maternal and offspring health. With a focus on various types of risk factors such as genetic, environmental, and shared familial traits, the ongoing follow-up of this study will enable researchers to evaluate and distinguish the impacts of these factors on pregnancy outcomes, perinatal health, and children's health for individuals conceived naturally versus those conceived through ART. By utilizing practical experience and advanced mathematical analysis of the extensive data, the APP-Cohort study will provide valuable insights to promote the administration and success rate of ART in China.

Indexed as

InfertilityReproductive Techniques, AssistedAdultChinaCohort StudiesFemaleHumansMalePregnancyPregnancy OutcomeProspective StudiesResearch DesignRisk FactorsSpousesSurveys and Questionnairesadverse gestational outcomesassisted reproduction technologyFamily cohortfamily wellbeingreproductive health

Identifiers

PMID39829236
PMCPMC11748866

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.