Evidence map›Paper›PMID 40138529›Full record

ArticleCritical care explorations2025

The Impact of Extended-Hours Patient Recruitment on Critical Care Clinical Trial Enrollment.

John H Lee, Jacob Vine, Max Meier, Alan Berkovitz, Lakshman Balaji, Anne V Grossestreuer, Ari Moskowitz, Katherine M Berg, Michael W Donnino

Abstract read
In one paragraph

Article in Critical care explorations, 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
–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

9 authors.

John H LeeDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.ORCID 0000-0002-5442-4648
Jacob VineDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.
Max MeierDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.
Alan BerkovitzDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.
Lakshman BalajiDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.
Anne V GrossestreuerDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.
Ari MoskowitzDivision of Critical Care Medicine, Department of Medicine, Montefiore Medical Center, The Bronx, New York, NY.
Katherine M BergDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.
Michael W DonninoDepartment of Emergency Medicine, Center for Resuscitation Science, Beth Israel Deaconess Medical Center, Boston, MA.

Funding

Training Program in Resuscitation ScienceT32HL155020 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Michael William Donnino, Robert Yeh · 2021 to 2026
$2.6M
Thiamine As A Metabolic Resuscitator In Cardiac ArrestR01HL136705 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI DONNINO, MICHAEL WILLIAM · 2017 to 2021
$2.2M
Thiamine as Adjunctive Therapy for Diabetic KetoacidosisR01DK112886 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI DONNINO, MICHAEL WILLIAM · 2018 to 2022
$2.1M
Thaimine as an adjunct metabolic resuscitator in cardiac arrestK24HL127101 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI DONNINO, MICHAEL WILLIAM · 2015 to 2024
$1.2M
NHLBI NIH HHS K24 HL127101NHLBI NIH HHS R01 HL136705NHLBI NIH HHS T32 HL155020NIDDK NIH HHS R01 DK112886
6 · The paper itself

Abstract

importancePatient recruitment is a critical factor in running successful and timely clinical trials in the critical care field where the timing of presentation of patients is difficult to predict and the study interventions are often time sensitive.

objectivesThe goal of this study was to analyze the timing of patient enrollments from previous clinical trials to identify patterns and assess the impact of providing extended-hours coverage on patient enrollment. DESIGN, SETTING, AND

participantsThis was a retrospective cohort study at a tertiary academic hospital in the United States between 2016 and 2024 on patients who were enrolled in five recent critical care clinical trials. MAIN OUTCOMES AND MEASURES: We reviewed the patient enrollment data. We quantified the number of enrollments during business hours (9 am-5 pm) compared with outside of business hours and analyzed the frequency of enrollment by day of the week and time of day.

resultsThere were 352 patients enrolled between 2016 and 2024 across five clinical trials. A total of 242 patients (68.8%) were enrolled outside of business hours. 72.4% of patients were enrolled during weekdays and 27.6% during weekends. The enrollment pattern did not differ significantly across days of the week, ranging from 45 (12.8%) on Friday to 56 (15.9%) on Thursday. Enrollment from 2 pm to 10 pm accounted for more than 50% of the total enrollments. Recruiting only during business hours would have resulted in an additional 15 years to complete one of the trials. CONCLUSIONS AND RELEVANCE: A review of our five recent critical care trials showed that nearly 70% of enrollment occurred outside of business hours. Limiting recruitment to only business hours would have resulted in a prohibitively longer time to complete the trials. This analysis provides a strong motivation and rationale for extending research staffing coverage beyond business hours.

Indexed as

Clinical Trials as TopicCritical CarePatient SelectionAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsUnited States

Identifiers

PMID40138529
PMCPMC11949290

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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 OpenQuestion graph.