Evidence map›Paper›PMID 40631021›Full record

ArticleJTCVS open2025

The implementation of an electronic symptom management system to monitor postoperative pain in thoracic surgery patients: A multicenter evaluation.

Jorind Beqari, Jacob Hurd, Angela C Tramontano, Christine Cronin, Alexandra Potter, Sandra Wong, Deborah Schrag, Don S Dizon, Jessica Bian, Raymond U Osarogiagbon and 11 more

Registry-linked trialAbstract read
In one paragraph

Article in JTCVS open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03850912 (SIMPRO Research Center), which is not on this 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.

NCT03850912 nacompletednot on this map

SIMPRO Research Center: Integration and Implementation of PROs for Symptom Management in Oncology Practice

TypeinterventionalSponsorDana-Farber Cancer InstituteRan2019 to 2025Enrolled42,808ConditionsOther Cancer, Gastrointestinal Cancer, Thoracic Cancer, Gynecologic CancerArmsStakeholder Survey (Control Period), Stakeholder Survey (Intervention Period), Qualitative Interview, SASS Questionnaire, eSyM
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

21 authors.

Jorind BeqariMassachusetts General Hospital, Boston, Mass.
Jacob HurdMassachusetts General Hospital, Boston, Mass.
Angela C TramontanoDana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, Mass.
Christine CroninDana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, Mass.
Alexandra PotterMassachusetts General Hospital, Boston, Mass.
Sandra WongDartmouth Hitchcock Medical Center, Lebanon, NH.
Deborah SchragMemorial Sloan Kettering Cancer Center, New York, NY.
Don S DizonLifespan Cancer Center and Brown University, Providence, RI.
Jessica BianMaine Medical Center, Portland, Maine.
Raymond U OsarogiagbonBaptist Medical Center, Memphis, Tenn.
Hannah Hazard-JenkinsWest Virginia University Cancer Center, Morgantown, WVa.
Joseph D PhillipsDartmouth Hitchcock Medical Center, Lebanon, NH.
Abbas E AbbasLifespan Cancer Center and Brown University, Providence, RI.
Isha Mehta WarikooMassachusetts General Hospital, Boston, Mass.
Mitchell AndersonMassachusetts General Hospital, Boston, Mass.
Kenneth P SeastedtRoswell Park Comprehensive Cancer Center, Buffalo, NY.
Michael LanutiMassachusetts General Hospital, Boston, Mass.
Yolonda L ColsonMassachusetts General Hospital, Boston, Mass.
Cameron D WrightMassachusetts General Hospital, Boston, Mass.
Michael HassettDana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, Mass.
Chi-Fu Jeffrey YangMassachusetts General Hospital, Boston, Mass.

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

Objective: Few studies have evaluated postoperative recovery of patients after thoracic surgery using patient-reported outcome measures. This multi-institutional study analyzed postoperative pain and opioid use among patients undergoing thoracic surgery based on patient-reported outcome measures data collected through an electronic symptom management system. Methods: The electronic symptom management system is a multi-symptom questionnaire based on a Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events that is integrated into the electronic health record and administered via the patient portal. Patients undergoing lung resections were invited to complete electronic symptom surveys within the electronic symptom management system during their 90-day postoperative period. Baseline patient demographics, surgical data, and postoperative opioid data were gathered from the electronic health record. Multivariable hierarchical regression was used to evaluate predictors of postoperative pain and opioid prescriptions. Results: Of 680 patients who met the inclusion criteria, 258 (37.9%) reported at least 1 severe pain score. Patients reporting severe pain were more likely to have undergone open surgery, to receive at least 1 postoperative opioid prescription, and to become persistent opioid users compared with patients reporting no severe pain. In multivariable logistic regression analysis, the only factor associated with a severe pain score was female sex (odds ratio, 1.67, 95% CI, 1.17-2.39; Conclusions: This multicenter study used patient-reported outcome measures to evaluate predictors of postoperative pain and opioid prescriptions in patients undergoing thoracic surgery. Further investigation into the administration of patient-reported outcome measures is needed to assess their ability to impact postsurgical care and postoperative outcomes.

Indexed as

opioidspatient-reported outcome measurespostoperative painthoracic surgery

Identifiers

PMID40631021
PMCPMC12230493

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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.