ArticleAmerican journal of epidemiology2025
Principles and practices of returning individual research results to participants in large studies of pregnancy and childhood.
Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Development of personal air pollution exposure report-back materials to Household Air Pollution Intervention Network (HAPIN) trial participants in Guatemala and Rwanda: a qualitative study.BMJ global health · 2025Trial
- Comparative Analysis of Report-back of Research Results Strategies for Personal Chemical Exposure Data.Journal of exposure science & environmental epidemiology · 2026Article
- Lessons learned from longitudinal biomonitoring and birth cohort studies: informing the future of reproductive health research in Canada.Environmental health : a global access science source · 2026Article
- Not whether but how: the ethics and Language of reporting back individual results.Environmental health : a global access science source · 2025Article
- Developing Requirements for a Standardized System to Return Individual Research Results Back to Study Participants: Narrative Review.Interactive journal of medical research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Investigators conducting human subject research have typically conveyed only clinically actionable results back to individual participants. Shifting scientific culture around viewing participants as partners in research, however, is prompting investigators to consider returning as much data or results as the participant would like, even if they are not clearly actionable. Expanding return of individual results may add value for individual participants and their communities, refine future research questions and methods, build trust, and enhance retention of participants. Yet, gaps remain in understanding the implications of these changes for groups of "vulnerable" participants, including pregnant and pediatric participants. Here we present the findings of a National Institutes of Health workshop on returning individual research results, particularly as applicable to pregnant and pediatric participants. Research participants who were panelists at the workshop agreed that they desired to receive their results. Workshop findings and current literature indicate that participants have differing preferences for what results they receive. One way to address the limits of current practice is to develop flexible digital platforms that convey individual results along with researchers' availability to answer questions, and to provide as much information as possible about actionable steps for controlling environmental exposures associated with disease risk.
Indexed as
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.