Evidence map›Paper›PMID 38154902›Full record

ArticleBMJ open2023

REMAP Periop: a randomised, embedded, multifactorial adaptive platform trial protocol for perioperative medicine to determine the optimal enhanced recovery pathway components in complex abdominal surgery patients within a US healthcare system.

Jennifer Holder-Murray, Stephen A Esper, Alison R Althans, Joshua Knight, Kathirvel Subramaniam, Joseph Derenzo, Ryan Ball, Shawn Beaman, Charles Luke, Luca La Colla and 12 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04606264 (Randomized, Embedded, Multifactorial Adaptive Platform for Perioperative Medicine at UPMC), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04606264 phase3completednot on this map

Randomized, Embedded, Multifactorial Adaptive Platform for Perioperative Medicine at UPMC (UPMC REMAP): Core Protocol - Enhanced Recovery Protocols (ERP)

TypeinterventionalSponsorJennifer Holder-MurrayRan2023 to 2025Enrolled3,395ConditionsPerioperative OptimizationArmsNeuraxial Analgesia, Regional Block 1: Paravertebral, Perphenazine, Aprepitant, Dimenhydrinate
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

22 authors.

Jennifer Holder-MurrayDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Stephen A EsperDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Alison R AlthansDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA althansar@upmc.edu.ORCID 0000-0003-1698-6233
Joshua KnightDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kathirvel SubramaniamDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Joseph DerenzoDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Ryan BallDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Shawn BeamanDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Charles LukeDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Luca La CollaDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Nicholas SchottDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Brian WilliamsDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Elizabeth LorenziBerry Consultants, Austin, Texas, USA.
Lindsay R BerryBerry Consultants, Austin, Texas, USA.
Kert VieleBerry Consultants Statistical Innovation, Austin, Texas, USA.
Scott BerryBerry Consultants Statistical Innovation, Austin, Texas, USA.
Miranda MastersDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Katie A MeisterDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Todd WilkinsonDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
William GarrardClinical Analytics, UPMC, Pittsburgh, Pennsylvania, USA.
Oscar C MarroquinClinical Analytics, UPMC, Pittsburgh, Pennsylvania, USA.
Aman MahajanDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImplementation of enhanced recovery pathways (ERPs) has resulted in improved patient-centred outcomes and decreased costs. However, there is a lack of high-level evidence for many ERP elements. We have designed a randomised, embedded, multifactorial, adaptive platform perioperative medicine (REMAP Periop) trial to evaluate the effectiveness of several perioperative therapies for patients undergoing complex abdominal surgery as part of an ERP. This trial will begin with two domains: postoperative nausea/vomiting (PONV) prophylaxis and regional/neuraxial analgesia. Patients enrolled in the trial will be randomised to arms within both domains, with the possibility of adding additional domains in the future. METHODS AND ANALYSIS: In the PONV domain, patients are randomised to optimal versus supraoptimal prophylactic regimens. In the regional/neuraxial domain, patients are randomised to one of five different single-injection techniques/combination of techniques. The primary study endpoint is hospital-free days at 30 days, with additional domain-specific secondary endpoints of PONV incidence and postoperative opioid consumption. The efficacy of an intervention arm within a given domain will be evaluated at regular interim analyses using Bayesian statistical analysis. At the beginning of the trial, participants will have an equal probability of being allocated to any given intervention within a domain (ie, simple 1:1 randomisation), with response adaptive randomisation guiding changes to allocation ratios after interim analyses when applicable based on prespecified statistical triggers. Triggers met at interim analysis may also result in intervention dropping. ETHICS AND DISSEMINATION: The core protocol and domain-specific appendices were approved by the University of Pittsburgh Institutional Review Board. A waiver of informed consent was obtained for this trial. Trial results will be announced to the public and healthcare providers once prespecified statistical triggers of interest are reached as described in the core protocol, and the most favourable interventions will then be implemented as a standardised institutional protocol. TRIAL REGISTRATION NUMBER: NCT04606264.

Indexed as

COVID-19Perioperative MedicineAdaptive Clinical Trials as TopicBayes TheoremDelivery of Health CareHumansPostoperative Nausea and VomitingRandomized Controlled Trials as TopicSARS-CoV-2Clinical TrialPain managementQuality in health careSURGERY

Identifiers

PMID38154902
PMCPMC10759097

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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.