Evidence map›Paper›PMID 41232754›Full record

Observational studyContemporary clinical trials2026

A comparison of institutional review board models and study efficiency in the Environmental influences on Child Health Outcomes Cohort Consortium.

Taylor Kohlmann, Angel Chen, Polly Armsby, C Ashley Finlen Copeland, Tracy Gentry, Marla Jordan, Maurine Morris, Ana Trampe, Jyoti Angal, Lauren Sims Taylor and 5 more

Abstract readComparative StudyObservational StudyMulticenter Study
In one paragraph

Observational study in Contemporary clinical trials, 2026. 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
–field-weighted citation impact
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

15 authors.

Taylor KohlmannDuke University School of Medicine, Durham, NC, USA.
Angel ChenDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Polly ArmsbyDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
C Ashley Finlen CopelandDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Tracy GentryDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Marla JordanDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Maurine MorrisDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Ana TrampeDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Jyoti AngalAvera Research Institute, Sioux Falls, SD, USA.
Lauren Sims TaylorUniversity of Tennessee Health Science Center, Memphis, TN, USA.
Annemarie StroustrupNorthwell Health, Division of Neonatology, Cohen Children's Medical Center, Queens, NY, USA; Zucker School of Medicine at Hofstra/Northwell, Uniondale, NY, USA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
N David YanezDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
P Brian SmithDuke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA. Electronic address: brian.smith@duke.edu.
ECHO Cohort Consortium

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Linda S Adair, Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
Prenatal and Early Childhood Pathways To Health:  An Integrated Model of Chemical and Social Exposures, Biological Mechanisms, and Sex-Specific Effects on Neurodevelopment and Respiratory OutcomesUH3OD023271 · OD · UNIVERSITY OF WASHINGTON · PI BUSH, NICOLE RENEE, KARR, CATHERINE J · 2018 to 2022
$37.3M
ECHO Laboratory Core at Vanderbilt for Integrated Sample Biobanking and ProcessingU24OD035523 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Suman Ranjan Das, NATASHA Bassam HALASA · 2023 to 2026
$32.8M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2015 to 2025
$26.4M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
Early Life Stress and the Environmental Origins of Disease: a Population-based Prospective Longitudinal Study of Children in Rural Poverty (ECHO)UH3OD023332 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KOPP, LISA MICHELLE, SWINGLER, MARGARET M. · 2018 to 2022
$22.7M
ENVIRONMENTAL INFLUENCES ON NEURODEVELOPMENTAL OUTCOME IN INFANTS BORN VERY PRETERMUH3OD023347 · OD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI LESTER, BARRY M., MARSIT, CARMEN JOSEPH · 2018 to 2022
$18.4M
BREAKING THE CYCLE OF INTERGENERATIONAL DISADVANTAGE: NEURODEVELOPMENT AMONG PUERTO RICAN CHILDREN.UH3OD023328 · OD · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI CANINO, GLORISA J, DUARTE, CRISTIANE S. · 2018 to 2022
$18.3M
Wadsworth Center's Human Health and Exposure Analysis Resource (WC-HHEAR)U2CES026542 · NIEHS · WADSWORTH CENTER · PI KANNAN, KURUNTHACHALAM, KANNAN, KURUNTHACHALAM · 2015 to 2025
$15.6M
NIEHS NIH HHS U24 ES026539NIEHS NIH HHS U2C ES026533NIEHS NIH HHS U2C ES026542NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIEHS NIH HHS U2C ES030851NIEHS NIH HHS U2C ES030857NIEHS NIH HHS U2C ES030859NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U24 OD035523NIH HHS U2C OD023375NIH HHS UG3 OD035508NIH HHS UG3 OD035509NIH HHS UG3 OD035513NIH HHS UG3 OD035516NIH HHS UG3 OD035517NIH HHS UG3 OD035518NIH HHS UG3 OD035519NIH HHS UG3 OD035521NIH HHS UG3 OD035526NIH HHS UG3 OD035527NIH HHS UG3 OD035528NIH HHS UG3 OD035529NIH HHS UG3 OD035532NIH HHS UG3 OD035533NIH HHS UG3 OD035536NIH HHS UG3 OD035537NIH HHS UG3 OD035540NIH HHS UG3 OD035542NIH HHS UG3 OD035543NIH HHS UG3 OD035544NIH HHS UG3 OD035546NIH HHS UG3 OD035550NIH HHS UH3 OD023253NIH HHS UH3 OD023268NIH HHS UH3 OD023271NIH HHS UH3 OD023286NIH HHS UH3 OD023287NIH HHS UH3 OD023318NIH HHS UH3 OD023320NIH HHS UH3 OD023328NIH HHS UH3 OD023332NIH HHS UH3 OD023347
6 · The paper itself

Abstract

backgroundInstitutional review board (IRB) approval is a key step in site activation and study initiation. Single IRBs aim to improve the timeliness of IRB review through centralization and standardization, whereas local IRBs conduct reviews only for specific sites. In Cycle 1 of the Environmental influences on Child Health Outcomes (ECHO) Cohort Consortium, 110 sites chose either single or local IRB review, providing the opportunity to compare the efficiency of single versus local IRBs within one multicenter observational study.

objectivesData were collected from the ECHO Coordinating Center at the Duke Clinical Research Institute. Primary outcomes included: 1) time from IRB submission to approval and 2) time from regulatory pack receipt to first participant enrollment. Secondary outcomes included: 1) time from regulatory pack receipt to IRB submission, 2) time from IRB approval to site activation, and 3) time from site activation to first participant enrollment. We compared these outcomes between sites using local versus single IRBs.

resultsNo significant differences were identified between the local and single IRB groups for the primary and secondary outcomes. The time from IRB submission to approval was similar for local and single IRBs (median [IQR]: 20 days [10-33]; 19 days [11-27]; p = 0.71, respectively). The time from regulatory pack receipt to first participant enrollment was similar for local and single IRBs (median [IQR]: 243 days [16-309]; 191 days [137-233]; p = 0.50, respectively).

conclusionMultiple factors influence review timelines. Single IRBs do not guarantee faster review; additional work is needed to evaluate their impact on study timelines.

Indexed as

Child HealthEthics Committees, ResearchChildHumansTime FactorsInstitutional review boardLocal IRBSingle IRB

Identifiers

PMID41232754
PMCPMC12666723

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