Evidence map›Paper›PMID 32376806›Full record

SynthesisJournal of Korean Academy of Nursing2020

[Factors Related to Persistent Postoperative Pain after Cardiac Surgery: A Systematic Review and Meta-Analysis].

Jaewon Bae, Sujin Shin

Open access · hybridAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of Korean Academy of Nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

2 authors at 2 institutions in 2 countries.

Jaewon BaeCollege of Nursing, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-7375-0564
Sujin ShinCollege of Nursing, Ewha Womans University, Seoul, Korea. ssj1119@ewha.ac.kr.ORCID https://orcid.org/0000-0001-7981-2893
Ewha Womans University · KRUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed at identifying factors related to persistent postoperative pain after cardiac surgery and estimating their effect sizes.

methodsThe literature search and selection was conducted in four different databases (CINAHL, Cochrane Library, PubMed, and PQDT) using the Preferred Reporting Items for Systematic Review and Meta-Analysis Statement. A total of 14 studies met the inclusion criteria and were systematically reviewed. For the meta-analysis, R was used to analyze 30 effect sizes of for both individual and operative factors as well as publication biases from a total of nine studies.

resultsThe meta-analysis revealed that persistent postoperative pain after cardiac surgery was related to one individual factor (gender) and two operative factors (acute postoperative pain and use of the internal mammary artery). Operative factors (OR=5.26) had a larger effect size than individual factors (OR=1.53).

conclusionFemale gender, acute pain after surgery, and use of the internal mammary artery are related factors to persistent postoperative pain. The development of interventions focusing on modifiable related factors, such as acute postoperative pain, may help to minimize or prevent PPP after cardiac surgery.

Indexed as

Cardiac Surgical ProceduresDatabases, FactualHumansLogistic ModelsOdds RatioPostoperative PainRiskSex FactorsCardiac Surgical ProcedureMeta-AnalysisPainPostoperativeSystematic Review

Identifiers

PMID32376806
OpenAlexW3021776331

What OpenQuestion holds

Textmetadata
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.