Evidence map›Paper›PMID 40557356›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2025

Strategies to Promote Resiliency: A Randomized Embedded Multifactorial Adaptative Platform (REMAP) Clinical Trial to Study Interventions to Improve Recovery After Surgery in High-Risk Patients.

Katherine M Reitz, Hasan Nassereldine, Jason Kennedy, Ryan Zeh, Farah Khandwala, Christopher W Seymour, Melanie Quintana, Kert Viele, Michelle Detry, Alison Morris and 11 more

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Bayesian statistics: a primer for perioperative medicine clinicians.Perioperative medicine (London, England) · 2026
    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

21 authors.

Katherine M ReitzFrom the Department of Surgery, University of Pittsburgh, Pittsburgh, PA.
Hasan NassereldineFrom the Department of Surgery, University of Pittsburgh, Pittsburgh, PA.
Jason KennedyDepartment of Critical Care Medicine, UPMC, Pittsburgh, PA.
Ryan ZehFrom the Department of Surgery, University of Pittsburgh, Pittsburgh, PA.
Farah KhandwalaBerry Consultants Statistical Innovation, Austin, TX.
Christopher W SeymourDepartment of Critical Care Medicine, UPMC, Pittsburgh, PA.
Melanie QuintanaBerry Consultants Statistical Innovation, Austin, TX.
Kert VieleBerry Consultants Statistical Innovation, Austin, TX.
Michelle DetryBerry Consultants Statistical Innovation, Austin, TX.
Alison MorrisDepartment of Medicine, UPMC, Pittsburgh, PA.
Barbara MetheDepartment of Medicine, UPMC, Pittsburgh, PA.
Brian ZuckerbraunFrom the Department of Surgery, University of Pittsburgh, Pittsburgh, PA.
Timothy D GirardDepartment of Critical Care Medicine, UPMC, Pittsburgh, PA.
Oscar C MarroquinClinical Analytics, UPMC Health System, Pittsburgh, PA.
Stephen EsperDepartment of Anesthesiology, University of Pittsburgh, Pittsburgh, PA.
Jennifer Holder-MurrayFrom the Department of Surgery, University of Pittsburgh, Pittsburgh, PA.
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA.
Timothy R BilliarFrom the Department of Surgery, University of Pittsburgh, Pittsburgh, PA.
Scott BerryBerry Consultants Statistical Innovation, Austin, TX.
Derek C AngusDepartment of Critical Care Medicine, UPMC, Pittsburgh, PA.
Matthew D NealFrom the Department of Surgery, University of Pittsburgh, Pittsburgh, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In a randomized, embedded, multifactorial, adaptive platform (REMAP) trial, we hypothesized that perioperative metformin would improve postoperative time alive and out of the hospital, defined by 90-day hospital-free days (HFD-90), among nondiabetic aged adults. Background: As our population ages, patients are increasingly frail requiring an emphasis on treatments to counteract their diminished resilience, especially following the stress of surgery. Growing literature supports metformin as an antiaging and anti-inflammatory therapy with beneficial effects extending into the perioperative period. Methods: At-risk adults (≥60 years) scheduled for elective surgical interventions were randomized to placebo (N = √3) or metformin (N = 1:1:1; 500 mg:1000 mg:1500 mg) for short (7-28 days), intermediate (29-90 days), or long (>90 days) preoperative durations. An adaptive sample size of (N = 1000-2500) would identify at least a 15% improvement in HFD-90 for >1 metformin doses. Using intention-to-treat analysis, Bayesian ordinal logistic regression compared HFD-90 and frequentist logistic regression compared 90-day reoperation and readmission. Results: Before trial closure, we randomized 302 (N = 106 placebo, N = 196 metformin [N = 64, 500 mg; N = 66, 1000 mg; and N = 66, 1500 mg]) patients without differences in baseline demographics (age 68 ± 6 years, 45% females, and 92% White race) or interventions (spine [29%], general [38%], colorectal [13%], and other [20%]). The odds of HFD-90 did not significantly differ between all doses and duration of metformin or placebo. There were no differences in the odds of reintervention (OR = 1.1 [95% CI, 0.6-2.0]) or readmission (OR = 1.5 [95% CI, 0.7-2.8]). Conclusions: Pretreatment with metformin did not improve postoperative outcomes in this REMAP trial, although trial enrollment was markedly limited by the COVID-19 pandemic and is underpowered.

Indexed as

clinical trialselective surgeryfrailtyinformation managementmetformin

Identifiers

PMID40557356
PMCPMC12185083

What OpenQuestion holds

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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.