Evidence map›Paper›PMID 40656340›Full record

ArticleCureus2025

Do Postoperative Orthopedic Patients Accurately Report Their Narcotic Medication Usage Using the Interventional Pain Assessment Drugs Scale?

Tyler Forbes, Joseph Cavataio, Jason Salvato, Lauryn Boggs, Alqasim Elnaggar, Rahul Vaidya

Abstract read
In one paragraph

Article in Cureus, 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
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0citing papers in PubMed
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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

6 authors.

Tyler ForbesDepartment of Orthopedic Surgery, Wayne State University Detroit Medical Center, Detroit, USA.
Joseph CavataioDepartment of Orthopedic Surgery, Wayne State University Detroit Medical Center, Detroit, USA.
Jason SalvatoDepartment of Orthopedic Surgery, Wayne State University Detroit Medical Center, Detroit, USA.
Lauryn BoggsDepartment of Orthopedic Surgery, Wayne State University Detroit Medical Center, Detroit, USA.
Alqasim ElnaggarDepartment of Orthopedic Surgery, Wayne State University Detroit Medical Center, Detroit, USA.
Rahul VaidyaDepartment of Orthopedic Surgery, Wayne State University Detroit Medical Center, Detroit, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurately assessing opioid consumption is critical for effective postoperative pain management and reducing misuse. While prescription monitoring tools like the Michigan Automated Prescription System (MAPS) provide objective data, they may not reflect actual patient behavior. This study evaluates the accuracy of self-reported opioid use using the Interventional Pain Assessment-Drugs (IPA-D) scale.

methodsA prospective IRB-approved study enrolled 753 postoperative orthopedic patients at a Level I trauma center from June 2022 to June 2023. Participants completed the IPA-D survey to self-report opioid usage, which was stratified into five classes based on morphine milligram equivalents (MMEs). These reports were compared to MAPS prescription data to determine classification accuracy.

resultsThe IPA-D scale demonstrated high accuracy. Classes A and B showed 100% accuracy with 0.0 MMEs. Class C (1-30 MMEs) had an accuracy of 99.3% with an average MME of 17.3. Class D (31-79 MMEs) reported 96.6% accuracy with an average MME of 42.81. Class E (≥80 MMEs) showed 94.4% accuracy and an average MME of 140.83.

conclusionThe IPA-D scale enables reliable patient self-reporting of opioid use across most MME categories. It offers a practical, accurate tool for real-time opioid monitoring in clinical settings and may serve as a valuable complement to prescription databases like MAPS.

Indexed as

opioid medicationorthopaedic and traumapatient-centred carepatient engagmentpost-operative opioids

Identifiers

PMID40656340
PMCPMC12255346

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