Evidence map›Paper›PMID 31528664›Full record

ArticleTranslational perioperative and pain medicine2019

Implications of Chronic Opioid Therapy on Perioperative Complications and Long-Term Surgical Recovery.

Da Liu, Matthew DiMeglio, Michael DiMartino, Jihane Hajj, Maria Mukhanova, Karima Rai, Mazell Winikor, Krzysztof Laudanski

Open access · diamondAbstract read
PubMed Full text at PMC
In one paragraph

Article in Translational perioperative and pain medicine, 2019. 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
0.9field-weighted citation impact, top 22% 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. 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

8 authors at 5 institutions in 2 countries.

Da LiuDepartment of Anesthesiology and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Matthew DiMeglioDO/MBA Student, Philadelphia College of Osteopathic Medicine, Philadelphia, PA, USA.
Michael DiMartinoDepartment of Biology, University of Pennsylvania, Philadelphia, PA, USA.
Jihane HajjDepartment of Cardiology, Penn Presbyterian Medical Center, Philadelphia, PA, USA.
Maria MukhanovaDepartment of Biology, Drexel University, Philadelphia, PA, USA.
Karima RaiDepartment of Biology, Drexel University, Philadelphia, PA, USA.
Mazell WinikorDepartment of Anesthesiology and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Krzysztof LaudanskiDepartment of Anesthesiology and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Drexel University · USHospital of the University of Pennsylvania · USUniversity of Pennsylvania · USPhiladelphia College of Osteopathic Medicine · USWidener University · US

Funding

Epigenetic mediated long-term aberrations in myeloid cells after critical illnessK23GM120630 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LAUDANSKI, KRZYSZTOF · 2017 to 2020
$783k
NIGMS NIH HHS K23 GM120630
6 · The paper itself

Abstract

With chronic opioid use becoming an increasingly common occurrenceamong the general population, perioperative specialties must adapt to the physiologic changes caused by long-term opioids. However, data on the clinicalanesthetics implications of long-term opioid use is scarce. This review intends to survey the literature addressing the molecular mechanisms of long-term opioid use as well as their interaction with various organ systems.

Indexed as

fentanylhydromorphonekappa receptormorphinemu-delta receptormu receptorOpioids

Identifiers

PMID31528664
PMCPMC6746432
OpenAlexW2999931055

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.