Evidence map›Paper›PMID 40897873›Full record

ArticleSurgical endoscopy2025

Predictors of post-discharge pain outcomes after colorectal surgery: a prospective cohort study.

Joao Victor de Cerqueira, Francesca Fermi, Samin Shirzadi, Ghadeer Olleik, Maxime Lapointe-Gagner, Shrieda Jain, Makena Pook, Katy Dmowski, Philip Nguyen-Powanda, Pepa Kaneva and 4 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 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

14 authors.

Joao Victor de CerqueiraDepartment of Surgery, McGill University, Montreal, QC, Canada.
Francesca FermiDepartment of Surgery, McGill University, Montreal, QC, Canada.
Samin ShirzadiCentre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Ghadeer OlleikDepartment of Surgery, McGill University, Montreal, QC, Canada.
Maxime Lapointe-GagnerPerioperative Care and Outcomes Research (PCOR) Lab, McGill University, Montreal, QC, Canada.
Shrieda JainPerioperative Care and Outcomes Research (PCOR) Lab, McGill University, Montreal, QC, Canada.
Makena PookDepartment of Surgery, McGill University, Montreal, QC, Canada.
Katy DmowskiDepartment of Surgery, McGill University, Montreal, QC, Canada.
Philip Nguyen-PowandaDepartment of Surgery, McGill University, Montreal, QC, Canada.
Pepa KanevaCentre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Marylise BoutrosDepartment of Surgery, McGill University, Montreal, QC, Canada.
Lawrence LeeDepartment of Surgery, McGill University, Montreal, QC, Canada.
Liane S FeldmanDepartment of Surgery, McGill University, Montreal, QC, Canada.
Julio F FioreDepartment of Surgery, McGill University, Montreal, QC, Canada. julio.fiorejunior@mcgill.ca.ORCID http://orcid.org/0000-0002-0019-8673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-discharge pain management after colorectal surgery is challenging due to the multifactorial nature of pain and the risks of adverse events. Identifying modifiable factors associated with pain outcomes may help optimize care. This study aimed to assess the extent to which patient and care-related factors impact 7-day post-discharge pain outcomes after colorectal surgery.

methodsThis cohort study included adult patients undergoing elective colorectal surgery at two university-affiliated hospitals in Canada. Preoperative assessments included demographics, Pain Catastrophizing Scale, and PROMIS-29 anxiety and depression scales. 7-day post-discharge pain outcomes included PROMIS-29 pain intensity (range 0-10), pain interference (41.6-75.6), and satisfaction with pain management (high [10-9] vs. lower [8-0]). The association of potential predictors with pain outcomes was evaluated using Bayesian Model Averaging, with higher posterior effect probability (PEP) reflecting stronger evidence of association.

results347 patients were included (59 ± 15 years, 53% male, 64% laparoscopic, 31% rectal resection, length of stay 3 days [IQR 2-5], same-day discharge 18%). At 7 days post-discharge, the median patient-reported pain intensity was 3/10 [1-4], pain interference was 58 [IQR 54-65], and 38% of patients reported lower satisfaction with pain management. Chronic pain was associated with greater pain intensity (β = 0.68; PEP = 78%) and lower satisfaction with pain management (OR = 1.72; PEP = 75%). Increased pain interference was associated with younger age (β = - 0.10; PEP = 98%), same-day discharge (β = 3.61; PEP = 86%), anxiety (β = 0.14; PEP = 71%), pain catastrophizing (β = 0.08; PEP = 66%), and female sex (β = 1.24; PEP = 54%). Depression predicted lower satisfaction (OR = 1.04; PEP = 81%), while TAP block use was associated with greater satisfaction (OR = 0.71; PEP = 52%).

conclusionIn this study, post-discharge pain outcomes after colorectal surgery were generally positive, and influenced by an interplay of demographic, clinical, emotional, and care-related factors. These findings provide valuable insights to inform multifaceted strategies to improve pain outcomes and enhance patient experiences.

Indexed as

Pain ManagementPostoperative PainAdultAgedAnxietyCanadaCatastrophizationCohort StudiesElective Surgical ProceduresFemaleHumansLength of StayMaleMiddle AgedPain MeasurementPatient DischargeColorectal surgeryOpioidsPain managementPerioperative carePostoperative painPredictive factors

Identifiers

PMID40897873

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.