ReviewJournal of midwifery & women's health2017
Utilizing Datasets to Advance Perinatal Research.
Review in Journal of midwifery & women's health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Monitoring Perinatal Health in Europe: Strengths and Challenges of the Euro-Peristat Project.Paediatric and perinatal epidemiology · 2025Article
- Midwifery Continuity of Care During Pregnancy, Birth, and the Postpartum Period: A Matched Cohort Study.Birth (Berkeley, Calif.) · 2025Article
- AH-6809 mediated regulation of lung adenocarcinoma metastasis through NLRP7 and prognostic analysis of key metastasis-related genes.Frontiers in pharmacology · 2024Article
- Potential missed opportunities for antenatal corticosteroid exposure and outcomes among periviable births: observational cohort study.BJOG : an international journal of obstetrics and gynaecology · 2022Article
- Influence of midwifery presence in United States centers on labor care and outcomes of low-risk parous women: A Consortium on Safe Labor study.Birth (Berkeley, Calif.) · 2019Observational
- The Causal Inference Framework: A Primer on Concepts and Methods for Improving the Study of Well-Woman Childbearing Processes.Journal of midwifery & women's health · 2018Review
- Sex and Gender Variables in Data Set Creation and Data Cleaning for Inclusive and Accurate Reproductive Health Research and Quality Improvement.Journal of midwifery & women's healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Many organizations collect and make available perinatal data for research and quality improvement initiatives. Analysis of existing data and use of retrospective study design has many advantages for perinatal researchers. These advantages include large samples, inclusion of women from diverse groups, data reflective of actual clinical processes and outcomes, and decreased risk of direct maternal and fetal harm. We review 11 publicly available datasets relevant to perinatal research and quality improvement, detail the availability of interactive websites, and discuss strategies to locate additional datasets. While analysis of existing data has limitations, it may provide statistical power to study rare perinatal outcomes, support research applicable to diverse populations, and facilitate timely and ethical well-woman research immediately relevant to clinical care.
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.