Evidence map›Paper›PMID 29093967›Full record

ArticleJournal of clinical and translational science2017

A multisite study of performance drivers among institutional review boards.

Michael Caligiuri, Karen Allen, Nate Buscher, Lisa Denney, Cynthia Gates, Kip Kantelo, Anthony Magit, Rachael Sak, Gary S Firestein, John Fontanesi

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Evaluating IACUCs: Previous Research and Future Directions.Journal of the American Association for Laboratory Animal Science : JAALAS · 2020
    Pooled it
  2. Article
  3. Call for a pan-Canadian approach to ethics review in Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
    Article
  4. Article
  5. Article
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

10 authors.

Michael CaligiuriSchool of Medicine, University of California San Diego, La Jolla, CA, USA.
Karen AllenSchool of Medicine, University of California Irvine, Irvine, CA, USA.
Nate BuscherUniversity of California Biomedical Research Acceleration, Integration & Development (UC BRAID), San Francisco, CA, USA.
Lisa DenneySchool of Medicine, University of California San Francisco, San Francisco, CA, USA.
Cynthia GatesSchool of Medicine, University of California Davis, Davis, CA, USA.
Kip KanteloSchool of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Anthony MagitSchool of Medicine, University of California San Diego, La Jolla, CA, USA.
Rachael SakUniversity of California Biomedical Research Acceleration, Integration & Development (UC BRAID), San Francisco, CA, USA.
Gary S FiresteinSchool of Medicine, University of California San Diego, La Jolla, CA, USA.
John FontanesiSchool of Medicine, University of California San Diego, La Jolla, CA, USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
NCATS NIH HHS UL1 TR001414NCATS NIH HHS UL1 TR001442NCATS NIH HHS UL1 TR001860NCATS NIH HHS UL1 TR001872NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

introductionThe time required to obtain Institutional Review Board (IRB) approval is a frequent subject of efforts to reduce unnecessary delays in initiating clinical trials. This study was conducted by and for IRB directors to better understand factors affecting approval times as a first step in developing a quality improvement framework.

methods807 IRB-approved clinical trials from 5 University of California campuses were analyzed to identify operational and clinical trial characteristics influencing IRB approval times.

resultsHigh workloads, low staff ratios, limited training, and the number and types of ancillary reviews resulted in longer approval times. Biosafety reviews and the need for billing coverage analysis were ancillary reviews that contributed to the longest delays. Federally funded and multisite clinical trials had shorter approval times. Variability in between individual committees at each institution reviewing phase 3 multisite clinical trials also contributed to delays for some protocols. Accreditation was not associated with shorter approval times.

conclusionsReducing unnecessary delays in obtaining IRB approval will require a quality improvement framework that considers operational and study characteristics as well as the larger institutional regulatory environment.

Indexed as

best practicesclinical trialsCommon metricsInstitutional Review Board

Identifiers

PMID29093967
PMCPMC5652635

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.