Evidence map›Paper›PMID 41690858›Full record

Observational studyBritish journal of anaesthesia2026

Associations of baseline characteristics, patient-reported outcomes, and satisfaction with pain therapy with the patient's global impression of change: a prospective cohort study.

Lydia Roper, Joletta Belton, Claudia Weinmann, Dominique Fletcher, Patricia Lavand'homme, Eija Kalso, Winfried Meissner, Daniela Constanze Rosenberger, Daniel Segelcke, Jan Vollert and 1 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in British journal of anaesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03834922 (PROMPT Providing Standardized Consented PROMs), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT03834922 completednot on this map

PROMPT Providing Standardized Consented PROMs (Patient Reported Outcome Measures) for Improving Pain Treatment A Multicenter, Non-interventional, Prospective Observational Study

Typeobservational_patient_registrySponsorProf. Dr. Winfried MeissnerRan2019 to 2022Enrolled3,322ConditionsPain, PostoperativeArmsProspective data collection
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Lydia RoperDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK; NIHR Exeter Biomedical Research Centre, University of Exeter, Exeter, UK.
Joletta BeltonPain Advocate, Fraser, CO, USA.
Claudia WeinmannJena University Hospital, Department of Anesthesiology and Intensive Care Medicine, Friedrich Schiller University Jena, Germany.
Dominique FletcherAnaesthesia and Intensive Care Department, Ambroise Paré Hospital, APHP, Université Paris-Saclay, UVSQ, Boulogne, France.
Patricia Lavand'hommeDepartment of Anesthesiology and Acute Postoperative & Transitional Pain Service, Cliniques Universitaires Saint Luc - University Catholic of Louvain, Brussels, Belgium.
Eija KalsoDepartment of Anaesthesiology, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Winfried MeissnerJena University Hospital, Department of Anesthesiology and Intensive Care Medicine, Friedrich Schiller University Jena, Germany.
Daniela Constanze RosenbergerDepartment of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Muenster, Muenster, Germany.
Daniel SegelckeDepartment of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Muenster, Muenster, Germany.
Jan VollertDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Muenster, Muenster, Germany.
Esther Miriam Pogatzki-ZahnDepartment of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Muenster, Muenster, Germany. Electronic address: pogatzki@anit.ukmuenster.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported outcome measures (PROMs) are key elements of assessing the efficacy of perioperative pain management. Here, we aimed to capture the association of 10 individually reported aspects of patient's specific impression of change since surgery (PSIC) related to four outcome domains of a previously defined core outcome set, relative to the patient's global impression of change (PGIC). We further evaluated the influence of type of surgery, sex, preoperative baseline characteristics, and satisfaction with pain management on PGIC.

methodsThis exploratory analysis used the PROMPT NIT-1 study data (2661 patients, 18 sites, four surgery types: total knee arthroplasty, sternotomy, breast cancer surgery, or endometriosis surgery). Male and female adults were included. All PROMs were assessed on postoperative day 3. We used ordinal regression models with PGIC as a dependent variable and PSICs as independent variables.

resultsThe overall model achieved a pseudo-R

conclusionsAlthough all four domains contributed to PGIC after surgery, pain intensity was the most important. These findings highlight the importance of both managing postoperative pain and optimising patient experience by addressing self-efficacy, adverse events, and pain-related interference of physical functioning. CLINICAL

trial registrationNCT03834922.

Indexed as

Pain ManagementPatient Reported Outcome MeasuresPatient SatisfactionPostoperative PainAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPain MeasurementProspective Studiesacute paincore outcome setpain assessmentpatient-reported outcome measurespsychometric propertiessensitivity-to-changesurgery

Identifiers

PMID41690858
PMCPMC13014496

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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.