Evidence map›Paper›PMID 32754712›Full record

ArticleSurgery open science2020

The impact of opioid use on human and health care costs in surgical patients.

Al-Faraaz Kassam, Young Kim, Alexander R Cortez, Vikrom K Dhar, Koffi Wima, Shimul A Shah

Open access · goldAbstract read
In one paragraph

Article in Surgery open science, 2020. 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, top 99% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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 at 1 institution in 1 country.

Al-Faraaz KassamCincinnati Research in Outcomes and Safety in Surgery (CROSS), Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
Young KimCincinnati Research in Outcomes and Safety in Surgery (CROSS), Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
Alexander R CortezCincinnati Research in Outcomes and Safety in Surgery (CROSS), Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
Vikrom K DharCincinnati Research in Outcomes and Safety in Surgery (CROSS), Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
Koffi WimaCincinnati Research in Outcomes and Safety in Surgery (CROSS), Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
Shimul A ShahCincinnati Research in Outcomes and Safety in Surgery (CROSS), Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
University of Cincinnati Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative narcotic use impacts hospital cost and outcomes in surgical patients, but the underlying reasons are unclear.

methodsA single-center retrospective analysis was performed on surgical patients admitted with intestinal obstruction (2010-2014). Patients were grouped into active opioid and nonopioid user cohorts.

resultsDuring the study period, 296 patients were admitted with a primary diagnosis of intestinal obstruction. Active opioid users accounted for 55 (18.6%) of these patients, with a median length of opioid use of 164 days (interquartile range 54-344 days). Average length of use was 164 days, with the majority of active users (

conclusionActive opioid users are predisposed to avoidable admissions and interventions for opioid-related illnesses. Efforts to address opioid use in the surgical population may improve patient outcomes and health care spending.

Identifiers

PMID32754712
PMCPMC7391897
OpenAlexW3000261180

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.