Evidence map›Paper›PMID 42322127›Full record

Trial reportAnnals of surgery2026

5x-Multiplier Versus 3-Tier Model: A Pragmatic Randomized Clinical Trial for Discharge Opioid Prescriptions After Intra-Abdominal Cancer Surgery.

Brittany C Fields, Timothy E Newhook, Heather A Lillemoe, Anneliese N Hierl, Innocent Rukundo, Jose A Karam, Surena F Matin, Larissa A Meyer, Zhouxuan Li, Wei Qiao and 4 more

Abstract readRandomized Controlled TrialPragmatic Clinical TrialClinical Trial, Phase II
In one paragraph

Trial report in Annals of surgery, 2026. 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

14 authors.

Brittany C FieldsDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-1424-6004
Timothy E NewhookDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-6663-459
Heather A LillemoeDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-8732-7764
Anneliese N HierlDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-0216-1276
Innocent RukundoDepartment of Urology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-9600-7837
Jose A KaramDepartment of Urology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-7697-9591
Surena F MatinDepartment of Urology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-1638-1445
Larissa A MeyerDepartment of Gynecologic Oncology & Reproductive Medicine, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-2687-7463
Zhouxuan LiDepartment of Biostatistics, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-8058-8435
Wei QiaoDepartment of Biostatistics, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX.
Jean-Nicolas VautheyDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-4921-5427
Matthew H G KatzDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-3870-6968
Ching-Wei D TzengDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-6035-7288
PROMOTE Consortium

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
TRAINING OF ACADEMIC SURGICAL ONCOLOGISTST32CA009599 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ashley M Holder, Jennifer A. Wargo · 1988 to 2026
$13.2M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA009599
6 · The paper itself

Abstract

backgroundStandardized prescribing models can reduce discharge opioid prescriptions and excess pill volumes, mitigating potential opioid dependence and diversion after abdominal operations. This study's objective was to determine which of 2 validated discharge prescribing models resulted in fewer opioids prescribed and consumed after major abdominal surgery.

methodsThis was a pragmatic single-center, phase II randomized clinical trial comparing 2 discharge opioid prescribing models: linear 5x-multiplier algorithm [last 24 h oral morphine equivalents (OME) times 5] versus capped 3-tier model (5/15/30 pills depending on 0/1-29/≥30 mg OME in last 24 h). Adults undergoing open abdominal cancer resections by 25 surgeons (5 specialties) were included. A nonopioid analgesic bundle was used perioperatively and at discharge. Coprimary endpoints were discharge opioid volume and 14-day post-discharge consumption. Secondary endpoints included patient satisfaction and symptom inventory. The power (80%) calculation was performed using the 2-sample t -test to detect a mean difference in OME with 0.05 significance (0.025 per co-primary outcomes).

resultsFrom April to December 2024, 150 patients (52% female; median age 63) were randomized: 73 to 5x-multiplier; 77 to 3-tier model. Operations included hepatectomy (32%), pancreatectomy (29%), nephrectomy (13%), thoracoabdominal sarcoma resection (15%), and ovarian cytoreduction (11%). Median discharge OME was 25 mg (5x-multiplier) versus 75 mg (3-tier, P <0.001), with 44% of 5x-multiplier patients discharged opioid-free (1% in 3-tier). Median post-discharge 14-day opioid consumption was 0 mg (5x-multiplier) versus 10 mg (3-tier, P =0.496). Refill rates were 24% (5x-multiplier) versus 18% (3-tier, P =0.426), consistent with historical rates, with no differences in satisfaction or symptom inventory scores.

conclusionThe 5x-multiplier algorithm resulted in fewer prescribed discharge opioids with similar 14-day consumption, refill rates, and satisfaction, compared with a 3-tier model after intra-abdominal cancer surgery.

Indexed as

Abdominal NeoplasmsAnalgesics, OpioidDrug PrescriptionsPatient DischargePostoperative PainPractice Patterns, Physicians'AgedAlgorithmsFemaleHumansMaleMiddle AgedAnalgesics, Opioidclinical trialnarcoticsoncologic surgerypragmaticprescribing model

Identifiers

PMID42322127
PMCPMC13674031

What OpenQuestion holds

Textmetadata
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.