Evidence map›Paper›PMID 34027456›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2021

Institutional Reductions in Opioid Prescribing Following Hip Arthroscopy Do Not Change Patient Satisfaction Scores.

David A Bloom, Amit K Manjunath, Charles Wang, Alexander J Egol, Robert J Meislin, Thomas Youm, Guillem Gonzalez-Lomas

Open access · goldAbstract read
In one paragraph

Article in Arthroscopy, sports medicine, and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

7 authors at 1 institution in 1 country.

David A BloomNYU Langone Health, New York, New York, U.S.A.
Amit K ManjunathNYU Langone Health, New York, New York, U.S.A.
Charles WangNYU Langone Health, New York, New York, U.S.A.
Alexander J EgolNYU Langone Health, New York, New York, U.S.A.
Robert J MeislinNYU Langone Health, New York, New York, U.S.A.
Thomas YoumNYU Langone Health, New York, New York, U.S.A.
Guillem Gonzalez-LomasNYU Langone Health, New York, New York, U.S.A.
NYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate what effect decreased opioid prescribing following hip arthroscopy had on Press-Ganey satisfaction survey scores.

methodsA retrospective review of prospectively collected data was conducted on patients who underwent primary hip arthroscopy for femoroacetabular impingement between October 2014 and October 2019. Inclusion criteria consisted of complete Press-Ganey survey information, no history of trauma, fracture, connective tissue disease, developmental hip dysplasia, autoimmune disease, or previous hip arthroscopy. Groups were separated based on date of surgery relative to implementation of an institutional opioid reduction policy that occurred in October 2018. Prescriptions were converted to milligram morphine equivalents (MME) for direct comparison between different opioids.

resultsA total of 113 patients met inclusion criteria, 88 preprotocol and 25 postprotocol. There were no statistically significant differences between groups with respect to patient demographics or intraoperative pathologies (

conclusionsA reduction in opioids prescribed after a hip arthroscopy is not associated with any statistically significant difference in patient satisfaction with pain management, as measured by the Press-Ganey survey. LEVEL OF EVIDENCE: Level III, retrospective comparative study.

Identifiers

PMID34027456
PMCPMC8129453
OpenAlexW3133664202

What OpenQuestion holds

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Registered trials

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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.