Evidence map›Paper›PMID 41603305›Full record

ArticlePM & R : the journal of injury, function, and rehabilitation2026

Medication prescription patterns in cancer rehabilitation physiatry outpatients: A multicenter retrospective study.

Matthew Chen, Nafis Eghrari, David Leong, Philip Chang, Jasmine Zheng, Amy Ng, Richard Wilson, Mary Vargo

Abstract readMulticenter Study
In one paragraph

Article in PM & R : the journal of injury, function, and rehabilitation, 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

8 authors.

Matthew ChenCase Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID https://orcid.org/0009-0002-3532-7620
Nafis EghrariCase Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID https://orcid.org/0009-0000-8595-3342
David LeongCase Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Philip ChangDepartment of PM&R, Cedars-Sinai, Los Angeles, California, USA.ORCID https://orcid.org/0000-0003-1194-5440
Jasmine ZhengDepartment of PM&R, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Amy NgDepartment of Palliative Rehabilitation and Integrative Medicine, MD Anderson, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-7555-1745
Richard WilsonCase Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0003-0334-2455
Mary VargoCase Western Reserve University School of Medicine, Cleveland, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivePrevious work from this dataset found 45% prescribing frequency of any medications (35.1%, 33.5%, and 56.8% at institutions 1, 2, and 3 respectively), without significant difference between in-person and telemedicine. The current study examines medication prescription patterns in greater depth by type of medications.

designMulticenter retrospective study.

settingThree academic medical centers in the United States.

participantsPatients with cancer or history of cancer.

interventionsCancer rehabilitation physiatry outpatient visits.

main outcome measuresFrequency of medication types prescribed.

resultsA total of 1234 unique patients underwent 3006 visits (institutions 1, 2, and 3 with 614, 1638, and 754 visits, respectively). Most frequently prescribed medication types (percentage of total encounters followed by 95% confidence interval) included opioids (14.5%; 8.1%-21.1%), membrane stabilizers (11.3.%; 5.2%-17.3%), topical agents (8.7%; 2.7%-14.7%), antidepressants (8.3%; 5%-11.8%), muscle relaxants (5%; 1.8%-8.2%), analgesics (nonsteroidal anti-inflammatory agents or acetaminophen) (3.7%; 3.4%-4.1%), and injected agents (5%;1.7%-8.3%). Less frequent categories included bowel medications (2.4%; 0.9%-3.9%), benzodiazepines (2.6%; 0.7%-4.5%), antiemetics (1.8%; 0.3%-3.3%), antibiotics (0.7%; 0.4%-1.0%), sleep aids (1%; 0.5%-1.5%), antipsychotics (1%; 0.1-1.2%), oral corticosteroids (0.5%; 0.3%-0.7%), and cognitive medications (0.6%; 0.2%-1%). Other medications were prescribed in 9.2% (3.5%-14.9%) of encounters. Interinstitutional differences were seen for all medication categories (p < .001), except for nonopioid analgesics (p = .640), antibiotics (p = .4), and corticosteroids (p = .337).

conclusionTreating pain appears to be a predominant but not sole focus of medication prescription in this population. Results illuminate prescribing trends seen in actual practice and may serve to inform individual cancer rehabilitation physiatrist practice, as well as to provide insight into possible directions for future research, such as focusing on frequently prescribed medications in controlled trials, and further examination of "other" medications, which were prescribed at a higher frequency than anticipated. Limitations include that factors underlying the observations could not be determined, including overall acuity; cancer type, stage, or phase; probable impact of differences in dispensation of refills depending on medication type; variability in clinically intended purposes of medications for specific cases; and possible regulatory or institution-specific contexts.

Indexed as

Ambulatory CareDrug PrescriptionsNeoplasmsOutpatientsPractice Patterns, Physicians'AgedFemaleHumansMaleMiddle AgedRetrospective StudiesUnited States

Identifiers

PMID41603305
PMCPMC13575465

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.