Evidence map›Paper›PMID 38895970›Full record

ArticleClinical trials (London, England)2025

Optimizing accrual to a large-scale, clinically integrated randomized trial in anesthesiology: A 2-year analysis of recruitment.

Hanae K Tokita, Melissa Assel, Joanna Serafin, Emily Lin, Leslie Sarraf, Geema Masson, Tracy-Ann Moo, Jonas A Nelson, Brett A Simon, Andrew J Vickers

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Hanae K TokitaDepartment of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-5806-1138
Melissa AsselDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Joanna SerafinDepartment of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Emily LinDepartment of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Leslie SarrafDepartment of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Geema MassonDepartment of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Tracy-Ann MooDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jonas A NelsonDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Brett A SimonDepartment of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-1525-6503

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundPerforming large randomized trials in anesthesiology is often challenging and costly. The clinically integrated randomized trial is characterized by simplified logistics embedded into routine clinical practice, enabling ease and efficiency of recruitment, offering an opportunity for clinicians to conduct large, high-quality randomized trials under low cost. Our aims were to (1) demonstrate the feasibility of the clinically integrated trial design in a high-volume anesthesiology practice and (2) assess whether trial quality improvement interventions led to more balanced accrual among study arms and improved trial compliance over time.

methodsThis is an interim analysis of recruitment to a cluster-randomized trial investigating three nerve block approaches for mastectomy with immediate implant-based reconstruction: paravertebral block (arm 1), paravertebral plus interpectoral plane blocks (arm 2), and serratus anterior plane plus interpectoral plane blocks (arm 3). We monitored accrual and consent rates, clinician compliance with the randomized treatment, and availability of outcome data. Assessment after the initial year of implementation showed a slight imbalance in study arms suggesting areas for improvement in trial compliance. Specific improvement interventions included increasing the frequency of communication with the consenting staff and providing direct feedback to clinician investigators about their individual recruitment patterns. We assessed overall accrual rates and tested for differences in accrual, consent, and compliance rates pre- and post-improvement interventions.

resultsOverall recruitment was extremely high, accruing close to 90% of the eligible population. In the pre-intervention period, there was evidence of bias in the proportion of patients being accrued and receiving the monthly block, with higher rates in arm 3 (90%) compared to arms 1 (81%) and 2 (79%, p = 0.021). In contrast, in the post-intervention period, there was no statistically significant difference between groups (p = 0.8). Eligible for randomization rate increased from 89% in the pre-intervention period to 95% in the post-intervention period (difference 5.7%; 95% confidence interval = 2.2%-9.4%, p = 0.002). Consent rate increased from 95% to 98% (difference of 3.7%; 95% confidence interval = 1.1%-6.3%; p = 0.004). Compliance with the randomized nerve block approach was maintained at close to 100% and availability of primary outcome data was 100%.

conclusionThe clinically integrated randomized trial design enables rapid trial accrual with a high participant compliance rate in a high-volume anesthesiology practice. Continuous monitoring of accrual, consent, and compliance rates is necessary to maintain and improve trial conduct and reduce potential biases. This trial methodology serves as a template for the implementation of other large, low-cost randomized trials in anesthesiology.

Indexed as

AnesthesiologyNerve BlockPatient SelectionRandomized Controlled Trials as TopicFemaleHumansMastectomyMiddle AgedQuality ImprovementResearch DesignClinically-integrated randomized trialday of surgery consenthigh accruallow cost trialpoint of care randomizationpragmatic trialrecruitment analysisregional anesthesia

Identifiers

PMID38895970
PMCPMC11655704

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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.