Evidence map›Paper›PMID 34245234›Full record

ArticleACR open rheumatology2021

Prescription Opioids Higher Among Knee Arthroplasty Recipients Randomized to Inpatient Rehabilitation.

Justine M Naylor, Mark Buhagiar, Nathan Johns, Jonathan Penm, Sam Adie, Ian A Harris, Wei Xuan

Open access · goldAbstract read
In one paragraph

Article in ACR open rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Observational
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

7 authors at 6 institutions in 1 country.

Justine M NaylorLiverpool Hospital, Liverpool, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9147-1312
Mark BuhagiarBethany Centre, Parramatta, New South Wales, Australia.
Nathan JohnsThe Rehabilitation Medicine Group, Moorabbin, Victoria, Australia.ORCID https://orcid.org/0000-0003-1685-1072
Jonathan PenmUniversity of Sydney, Camperdown, New South Wales, Australia.
Sam AdieSt. George Private Hospital, Kogarah, New South Wales, Australia.
Ian A HarrisLiverpool Hospital, Liverpool, New South Wales, Australia.
Wei XuanIngham Institute, Liverpool, New South Wales, Australia.
Liverpool Hospital · AUIngham Institute · AUMoorabbin Hospital · AUNew South Wales Institute of Psychiatry · AUSt George Hospital · AUThe University of Sydney · AU

Funding

HCF Research Foundation
6 · The paper itself

Abstract

objectiveTo determine whether the purchase of prescription opioids was lower among people randomized to inpatient rehabilitation (IR) compared with those discharged directly home following total knee arthroplasty (TKA).

methodA secondary analysis of a previous clinical trial in which participants were randomized 3 to 5 days after -surgery to 10 days of IR and a home program or to a home program alone. The primary outcome for this secondary analysis was the purchase of opioid-based pain relief up to 10-weeks after surgery, which was captured via patient diaries. Between-group differences were analyzed using a χ

resultsAt 10 weeks, 158 participants were available for follow-up; 120 (76%) provided diaries, with 113 providing generic or brand names for the pain relief purchased. In the IR group, 60% (33/55) reported the purchase of opioid-based medications after discharge compared with 34% (20/58) in the home group (χ

conclusionContrary to what was hypothesized, IR is a strong driver of opioid purchase after discharge from the hospital following TKA.

Identifiers

PMID34245234
PMCPMC8363845
OpenAlexW3180588911

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.