Evidence map›Paper›PMID 32126971›Full record

Observational studyBMC anesthesiology2020

Using four different clinical tools as predictors for pain after total hip arthroplasty: a prospective cohort study.

Anja Geisler, Josephine Zachodnik, Jens Laigaard, Laura S Kruuse, Charlotte V Sørensen, Magnus Sandberg, Eva I Persson, Ole Mathiesen

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC anesthesiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03439566 (Does Preoperative Pain Levels by Venipuncture Predict Late Postoperative Pain Levels? - a Prospective Cohort Study of Total Hip Arthroplasty Patients at Zealand University Hospital, Koege), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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.

NCT03439566 completednot on this map

Does Preoperative Pain Levels by Venipuncture Predict Late Postoperative Pain Levels? - a Prospective Cohort Study of Total Hip Arthroplasty Patients at Zealand University Hospital, Koege

TypeobservationalSponsorZealand University HospitalRan2018 to 2019Enrolled102ConditionsPain, Postoperative
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Preoperative pain sensitivity questionnaire helps customize pain management after arthroscopic partial meniscectomy.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2021
    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 3 institutions in 2 countries.

Anja GeislerDepartment of Anesthesiology, Zealand University Hospital, Lykkebækvej 1, 4600, Koege, Denmark. agei@regionsjaelland.dk.ORCID 0000-0002-2461-2672
Josephine ZachodnikDepartment of Anesthesiology, Zealand University Hospital, Lykkebækvej 1, 4600, Koege, Denmark.
Jens LaigaardDepartment of Anesthesiology, Zealand University Hospital, Lykkebækvej 1, 4600, Koege, Denmark.
Laura S KruuseDepartment of Anesthesiology, Zealand University Hospital, Lykkebækvej 1, 4600, Koege, Denmark.
Charlotte V SørensenDepartment of Orthopaedics, Zealand University Hospital, Koege, Denmark.
Magnus SandbergDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Eva I PerssonDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Ole MathiesenDepartment of Anesthesiology, Zealand University Hospital, Lykkebækvej 1, 4600, Koege, Denmark.
Zealand University Hospital · DKLund University · SEUniversity of Copenhagen · DK

Funding

Region Sjælland R17A42B20
6 · The paper itself

Abstract

backgroundTreatment of postoperative pain remains a significant clinical problem, and prediction of patients with a risk of higher postoperative pain levels is an important focus. We aimed to identify patients undergoing total hip arthroplasty (THA) with risk of higher pain levels at 24 h postoperatively by using four simple and easily available clinical tools.

methodsThis prospective observational cohort study included 102 patients having THA at Zealand University Hospital in Denmark. The following predictive tools were investigated for identifying patients with higher postoperative pain levels at 24 h postoperatively, both at rest and during mobilization: preoperative pain by peripheral venous cannulation (PVC) (dichotomized according to numerical rating scale pain ≤ 2/> 2 (PVC-Low/PVC-High) (primary outcome); the post anesthesia care unit (PACU) nurses' expectations of patients pain levels; patients early pain levels at the PACU; and patients own forecast of postoperative pain levels. The Mann-Whitney U test was used to analyze comparisons between prediction groups. For the primary outcome we considered a p-value < 0.01 as statistically significant and for other outcomes a p-value of 0.05.

resultsWe found no significant differences between the PVC groups for pain during mobilization at 24-h postoperatively: PVC-Low: 6 (4-8) (median, (IQR)) versus PVC-High: 7 (5-8) (median, (IQR)), p = 0.10; and for pain at rest: PVC-Low 2 (0-3) (median, (IQR)) versus PVC-High 3 (2-5) (median, (IQR)), p = 0.12. Other comparisons performed between predictive groups did not differ significantly.

conclusionsIn this prospective cohort study of 102 THA patients, we did not find that preoperative pain by PVC, when using a cut-off point of NRS ≤ 2, were able to predict postoperative pain at 24 h postoperatively. Neither did PACU nurses' prediction of pain, patients forecast of pain, nor did maximum pain levels at the PACU.

trial registrationRetrospectively registered 20th February 2018 at ClinicalTrials.gov (NCT03439566).

Indexed as

Arthroplasty, Replacement, HipAgedCohort StudiesDenmarkFemaleHumansMalePain MeasurementPostoperative PainProspective StudiesReproducibility of ResultsPostoperative painPredictionTotal hip arthroplasty

Identifiers

PMID32126971
PMCPMC7055106
OpenAlexW3012326042

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.