Evidence map›Paper›PMID 31187246›Full record

ArticleWorld journal of surgery2019

Predictors of Post-operative Pain and Opioid Consumption in Patients Undergoing Liver Surgery.

R Behman, S Cleary, P McHardy, A Kiss, J Sawyer, S S J Ladak, S A McCluskey, C Srinivas, J Katz, N Coburn and 6 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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  5. Observational
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  7. Review
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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

16 authors at 5 institutions in 2 countries.

R BehmanDepartment of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, T2-016, Toronto, ON, M4N3M5, Canada.
S ClearyDepartment of Surgery, University Health Network, University of Toronto, Toronto, Canada.
P McHardyDepartment of Anaesthesia, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
A KissDepartment of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada.
J SawyerDepartment of Anaesthesia, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
S S J LadakDepartment of Anaesthesia and Pain Management, University Health Network, University of Toronto, Toronto, Canada.
S A McCluskeyPain Research Unit, Toronto General Hospital, University Health Network, Toronto, Canada.
C SrinivasPain Research Unit, Toronto General Hospital, University Health Network, Toronto, Canada.
J KatzDepartment of Anaesthesia and Pain Management, University Health Network, University of Toronto, Toronto, Canada.
N CoburnDepartment of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, T2-016, Toronto, ON, M4N3M5, Canada.
C LawDepartment of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, T2-016, Toronto, ON, M4N3M5, Canada.
A C WeiDepartment of Surgery, University Health Network, University of Toronto, Toronto, Canada.
P GreigDepartment of Surgery, University Health Network, University of Toronto, Toronto, Canada.
J HalletDepartment of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, T2-016, Toronto, ON, M4N3M5, Canada.
H ClarkeDepartment of Anaesthesia and Pain Management, University Health Network, University of Toronto, Toronto, Canada.
P J KaranicolasDepartment of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, T2-016, Toronto, ON, M4N3M5, Canada. paul.karanicolas@sunnybrook.ca.
University Health Network · CAUniversity of Toronto · CAHealth Sciences Centre · CASunnybrook Health Science Centre · CAToronto General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-operative pain management is a critical component of perioperative care. Patients at risk of poorly controlled post-operative pain may benefit from early measures to optimize pain management. We sought to identify risk factors for post-operative pain and opioid consumption in patients undergoing liver resection.

methodsThis is a multi-institutional prospective nested cohort study of patients undergoing open liver resection. Opioid consumption and pain scores were collected following surgery. To estimate the effects of patient factors on opioid consumption (oral morphine equivalents-OME) and on pain scores (NRS-11), we used generalized linear models and multivariable linear regression model, respectively.

resultsOne hundred and fifty-three patients who underwent open liver resection between 2013 and 2016 were included in the study. The mean patient age was 62.2 years, and 43.3% were female. Younger patients were significantly more likely to use more opioids in the early post-operative period (16.7 OME/10 years, p < 0.001). Patient factors that were significantly associated with increased NRS-11 pain scores also included younger patient age (difference in pain score of 0.3/10 years with cough and 0.2/10 years at rest, p < 0.01 for both) as well as a history of analgesic use (difference in pain score of 0.9 with cough and 0.6 at rest, p < 0.01 and p = 0.07, respectively).

conclusionYounger patients and those with a history of analgesic use are more likely to report higher post-operative pain and require higher doses of opioids. Early identification of these patients, and measures to better manage their pain, may contribute to optimal perioperative care.

Indexed as

HepatectomyAdultAgedAnalgesics, OpioidFemaleHumansMaleMiddle AgedPostoperative PainProspective StudiesAnalgesics, Opioid

Identifiers

PMID31187246
OpenAlexW2950145319

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.